diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index b23caf7..587b304 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -187,7 +187,7 @@ models our transcripts name, plus local overrides for models litellm doesn't pri
 yet. Refresh it by hand, never by editing the JSON:
 
 ```bash
-uv run scripts/update_prices.py --ref v1.102.0   # a litellm tag, branch, or commit
+uv run scripts/update_prices.py --ref v1.103.2   # a litellm tag, branch, or commit
 ```
 
 The script drops an override once upstream prices the same key and says so; delete
diff --git a/docs/insights/contract-map.md b/docs/insights/contract-map.md
index 4a92be9..915e749 100644
--- a/docs/insights/contract-map.md
+++ b/docs/insights/contract-map.md
@@ -761,7 +761,7 @@ dependencies = [
     "atif-corpus==0.1.0",
     "atif-duck==0.1.0",
     "atif-embed==0.1.0",
-    "cyclopts>=4.10.2",
+    "cyclopts>=5.1.1",
     "loguru>=0.7.3",
 ]
 ```
diff --git a/docs/reference/cli.md b/docs/reference/cli.md
index 9d2704e..b7cb9cb 100644
--- a/docs/reference/cli.md
+++ b/docs/reference/cli.md
@@ -2,7 +2,7 @@
 
 The `atif-sql` console script (`packages/atif-cli/pyproject.toml:42`) is the repo's public contract: one cyclopts router (`packages/atif-cli/src/atif_cli/app.py:52`) dispatches the subcommands below, and a root-level `--version` resolves the installed `atif-sql` distribution (`:60`).
 
-These conventions hold across every subcommand. `--format` takes `auto`, `table`, `json`, or `csv` from the `OutputFormat` `StrEnum` at `packages/atif-cli/src/atif_cli/output.py:58`, and `auto` resolves to `table` when stdout is a TTY and `json` otherwise (`packages/atif-cli/src/atif_cli/output.py:74`). Exit codes come from one table, `EXIT_CODES` at `packages/atif-cli/src/atif_cli/errors.py:28`: `0` ok, `2` empty-session / no-embeddings, `64` invalid input or SQL parse error, `65` catalog error / validation error / embedding mismatch, `70` runtime error, `78` terminal state or suspicious scan, `127` harbor missing. A number in that table is a wire contract: keys may be added, never renumbered. And stderr carries WARNING and above only, so a piped read emits data on stdout and nothing on stderr unless something is wrong; `ATIF_SQL_LOG_LEVEL` widens it (`INFO`, `DEBUG`) and is the only way to reach the INFO surface, because the entry point replaces loguru's default handler and with it the `LOGURU_LEVEL` that would have parameterized it (`packages/atif-cli/src/atif_cli/app.py:1141-1148`).
+These conventions hold across every subcommand. `--format` takes `auto`, `table`, `json`, or `csv` from the `OutputFormat` `StrEnum` at `packages/atif-cli/src/atif_cli/output.py:58`, and `auto` resolves to `table` when stdout is a TTY and `json` otherwise (`packages/atif-cli/src/atif_cli/output.py:74`). Exit codes come from one table, `EXIT_CODES` at `packages/atif-cli/src/atif_cli/errors.py:28`: `0` ok, `2` empty-session / no-embeddings, `64` invalid input or SQL parse error, `65` catalog error / validation error / embedding mismatch, `70` runtime error, `78` terminal state or suspicious scan, `127` harbor missing. A number in that table is a wire contract: keys may be added, never renumbered. A usage error cyclopts refuses (an unknown option or command, a missing or uncoercible value) prints cyclopts' error panel and exits `64`, never cyclopts' own `2`. And stderr carries WARNING and above only, so a piped read emits data on stdout and nothing on stderr unless something is wrong; `ATIF_SQL_LOG_LEVEL` widens it (`INFO`, `DEBUG`) and is the only way to reach the INFO surface, because the entry point replaces loguru's default handler and with it the `LOGURU_LEVEL` that would have parameterized it (`packages/atif-cli/src/atif_cli/app.py:1141-1148`).
 
 `analyze`, `embed`, and `search` call Amazon Bedrock and spend money; the others are offline.
 
diff --git a/packages/atif-cli/pyproject.toml b/packages/atif-cli/pyproject.toml
index 3b3add1..1dc9a55 100644
--- a/packages/atif-cli/pyproject.toml
+++ b/packages/atif-cli/pyproject.toml
@@ -34,7 +34,7 @@ dependencies = [
     "atif-corpus==0.1.0",
     "atif-duck==0.1.0",
     "atif-embed==0.1.0",
-    "cyclopts>=4.10.2",
+    "cyclopts>=5.1.1",
     # Imported directly by duck_errors.py to classify a DuckDB failure into the
     # parse/catalog/runtime exit-code taxonomy. Reaching it transitively through
     # atif-duck would make this package's exit codes depend on a sibling's
diff --git a/packages/atif-cli/src/atif_cli/app.py b/packages/atif-cli/src/atif_cli/app.py
index 6934bd3..4507293 100644
--- a/packages/atif-cli/src/atif_cli/app.py
+++ b/packages/atif-cli/src/atif_cli/app.py
@@ -2368,6 +2368,10 @@ def main() -> None:
     An unknown level falls back to WARNING and says so, rather than replacing
     the caller's command with a loguru traceback — a bad log level is not a
     reason to refuse to run.
+
+    A usage error cyclopts refuses (an unknown option, a missing or uncoercible
+    value) exits ``EXIT_CODES["invalid_input"]`` (64) after cyclopts prints its
+    error panel, never cyclopts' own 2, which the table gives to ``empty_session``.
     """
     from loguru import logger
 
@@ -2380,7 +2384,13 @@ def main() -> None:
         logger.warning(
             "{}={!r} is not a loguru level; using {}", LOG_LEVEL_ENV, level, DEFAULT_LOG_LEVEL
         )
-    app()
+    try:
+        app(sys.argv[1:], exit_on_error=False)
+    except cyclopts.CycloptsError:
+        # cyclopts 5 exits 2 on a usage error (unknown option, missing or uncoercible
+        # value), and EXIT_CODES gives 2 to empty_session and no_embeddings. A malformed
+        # flag is invalid_input. cyclopts has already printed its error panel.
+        raise SystemExit(EXIT_CODES["invalid_input"]) from None
 
 
 __all__ = [
diff --git a/packages/atif-cli/src/atif_cli/errors.py b/packages/atif-cli/src/atif_cli/errors.py
index 9dae6ce..789ed62 100644
--- a/packages/atif-cli/src/atif_cli/errors.py
+++ b/packages/atif-cli/src/atif_cli/errors.py
@@ -8,7 +8,9 @@
 view/macro/column), 70 for a runtime error. No other package owns a mapping —
 atif-converter raises typed :class:`~atif_converter.domain.errors.DomainError`
 subclasses and deliberately carries no codes, so ``convert`` translates them
-here and every command exits from the same dict.
+here and every command exits from the same dict. A usage error cyclopts
+refuses exits ``invalid_input``: ``atif_cli.app.main`` maps cyclopts 5's own
+exit 2, which this table gives to ``empty_session``.
 
 A number in this dict is a WIRE CONTRACT. An agent branches on it, so
 reassigning an existing key to a different number is a breaking change even
diff --git a/packages/atif-cli/tests/test_app.py b/packages/atif-cli/tests/test_app.py
index 7bb4a87..dbbedd4 100644
--- a/packages/atif-cli/tests/test_app.py
+++ b/packages/atif-cli/tests/test_app.py
@@ -2042,7 +2042,10 @@ def _emit_through_main(
         """
         from loguru import logger
 
-        monkeypatch.setattr(app_module, "app", lambda: None)
+        def _no_dispatch(*_args: object, **_kwargs: object) -> None:
+            return None
+
+        monkeypatch.setattr(app_module, "app", _no_dispatch)
         app_module.main()
         try:
             logger.info("an info line")
@@ -2076,3 +2079,33 @@ def test_unknown_level_falls_back_and_says_so(
         assert "is not a loguru level" in err
         assert "an info line" not in err
         assert "a warning line" in err
+
+
+class TestUsageErrorExitCode:
+    """A flag cyclopts refuses exits invalid_input (64), never cyclopts 5's own 2.
+
+    cyclopts 5 exits 2 on every parse error, and :data:`EXIT_CODES` gives 2 to
+    ``empty_session`` and ``no_embeddings``, so an agent branching on 2 would read
+    a typo as an empty session. ``main`` maps the parse error onto the table.
+    """
+
+    @pytest.mark.parametrize(
+        "argv",
+        [["--bogus"], ["convert", "--bogus"], ["search", "a question", "-k", "many"]],
+    )
+    def test_parse_error_exits_invalid_input(
+        self,
+        argv: list[str],
+        monkeypatch: pytest.MonkeyPatch,
+        capsys: pytest.CaptureFixture[str],
+    ) -> None:
+        monkeypatch.setattr(sys, "argv", ["atif-sql", *argv])
+        try:
+            with pytest.raises(SystemExit) as exc:
+                app_module.main()
+        finally:
+            logger.remove()
+        assert exc.value.code == EXIT_CODES["invalid_input"] == 64
+        captured = capsys.readouterr()
+        assert captured.out == ""
+        assert "Error" in captured.err, "cyclopts must still print its error panel"
diff --git a/packages/atif-converter/README.md b/packages/atif-converter/README.md
index 648e80f..c02b744 100644
--- a/packages/atif-converter/README.md
+++ b/packages/atif-converter/README.md
@@ -27,7 +27,7 @@ value: `atif_converter.domain.pricing` returns the same floats, bit for bit,
 without litellm being installed. It reads `domain/model_prices.json`, a
 filtered copy of litellm's public `model_prices_and_context_window.json` (MIT;
 the notice and source ref are in its `meta` block), and repeats litellm
-1.102.0's arithmetic in the same float operation order. The table holds the
+1.103.2's arithmetic in the same float operation order. The table holds the
 Claude and OpenAI text models our transcripts name under the `anthropic`,
 `openai`, `bedrock` and `bedrock_converse` providers, and keeps litellm's
 `fallback_generalizations` rules, which route an unmapped `claude-<family>-<n>`
diff --git a/packages/atif-converter/src/atif_converter/domain/model_prices.json b/packages/atif-converter/src/atif_converter/domain/model_prices.json
index fba5045..6530936 100644
--- a/packages/atif-converter/src/atif_converter/domain/model_prices.json
+++ b/packages/atif-converter/src/atif_converter/domain/model_prices.json
@@ -1,8 +1,8 @@
 {
  "meta": {
-  "source": "https://github.com/BerriAI/litellm/blob/v1.102.0/model_prices_and_context_window.json",
-  "ref": "v1.102.0",
-  "sha256": "1360cf0fbeedf8232e46fcaa3a9fa59fa23fd1730f0b63a6bffa35fe710cf9bb",
+  "source": "https://github.com/BerriAI/litellm/blob/v1.103.2/model_prices_and_context_window.json",
+  "ref": "v1.103.2",
+  "sha256": "56c7afe18b6166afcd54a4ac784fabb59fe8638122709900e6b7ee8c64f2e705",
   "generator": "scripts/update_prices.py",
   "license": "MIT",
   "license_text": "MIT License\n\nCopyright (c) 2023 Berri AI\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE."
@@ -48,8 +48,15 @@
    },
    {
     "name": "claude-adaptive-thinking",
-    "pattern": "claude-[a-z]+-(?:4[-._](?:[6-9]|[1-9]\\d)(?!\\d)|(?:[5-9]|[1-9]\\d)(?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)",
-    "description": "Claude at version 4.6 or higher, in any id shape that contains claude-<family>-: minors 4.6 through 4.99, any later major-minor, and bare 5+ majors so a new family shaped like claude-fable-5 matches. Requiring the claude- prefix keeps non-Claude names such as team-sonnet-5-1 out. The minor is capped at two digits so an 8-digit date suffix such as claude-opus-4-20250514 is never read as a >= 4.6 minor. Turns on adaptive thinking for new versions and new families with no code change.",
+    "pattern": "claude-[a-z]+-(?:4[-._](?:[6-9]|[1-9]\\d)(?!\\d)|[5-9](?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)",
+    "fill_missing_for_providers": [
+     "anthropic",
+     "azure_ai",
+     "bedrock",
+     "bedrock_converse",
+     "vertex_ai-anthropic_models"
+    ],
+    "description": "Claude at version 4.6 or higher, in any id shape that contains claude-<family>-: minors 4.6 through 4.99, any later major-minor, and bare 5+ majors so a new family shaped like claude-fable-5 matches. Requiring the claude- prefix keeps non-Claude names such as team-sonnet-5-1 out. The minor is capped at two digits so an 8-digit date suffix such as claude-opus-4-20250514 is never read as a >= 4.6 minor. Two-digit majors are deliberately not matched so ids like claude-opus-41 (4.1) are not read as major 41. Turns on adaptive thinking for new versions and new families with no code change.",
     "model_info": {
      "supports_adaptive_thinking": true
     }
@@ -57,6 +64,13 @@
    {
     "name": "claude-legacy-thinking",
     "pattern": "claude-[a-z]+-4[-._]6(?!\\d)",
+    "fill_missing_for_providers": [
+     "anthropic",
+     "azure_ai",
+     "bedrock",
+     "bedrock_converse",
+     "vertex_ai-anthropic_models"
+    ],
     "description": "Claude at version 4.6 exactly, in any id shape that contains claude-<family>-4-6 (dotted and underscored minors included, dated releases such as claude-sonnet-4-6-20260219 too). The 4.6 family is adaptive-thinking yet still accepts legacy thinking.type=enabled with budget_tokens, so the caller's hard budget cap is forwarded verbatim instead of being rewritten to an uncapped output_config.effort. The lookahead keeps two-digit minors such as 4-60 from matching. 4.7+ and 5+ majors reject the legacy shape and stay on the adaptive translation.",
     "model_info": {
      "supports_legacy_thinking": true
@@ -72,12 +86,33 @@
    },
    {
     "name": "claude-mid-conversation-system",
-    "pattern": "claude-[a-z]+-(?:4[-._](?:[89]|[1-9]\\d)(?!\\d)|(?:[5-9]|[1-9]\\d)(?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)",
-    "description": "Claude at version 4.8 or higher, in any id shape that contains claude-<family>-: minors 4.8 through 4.99, any later major-minor, and bare 5+ majors so a new family like claude-fable-5 matches. Anthropic introduced mid-conversation system messages with Opus 4.8 and every newer Claude keeps them; 4.7 and below reject the system role inside messages.",
+    "pattern": "claude-[a-z]+-(?:4[-._](?:[89]|[1-9]\\d)(?!\\d)|[5-9](?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)",
+    "fill_missing_for_providers": [
+     "anthropic",
+     "azure_ai",
+     "bedrock",
+     "bedrock_converse",
+     "vertex_ai-anthropic_models"
+    ],
+    "description": "Claude at version 4.8 or higher, in any id shape that contains claude-<family>-: minors 4.8 through 4.99, any later major-minor, and bare 5+ majors so a new family like claude-fable-5 matches. Two-digit majors are deliberately not matched so ids like claude-opus-41 (4.1) are not read as major 41. Anthropic introduced mid-conversation system messages with Opus 4.8 and every newer Claude keeps them; 4.7 and below reject the system role inside messages.",
     "model_info": {
      "supports_mid_conversation_system": true
     }
    },
+   {
+    "name": "claude-tool-search",
+    "pattern": "claude-[a-z]+-(?:4[-._](?:[5-9]|[1-9]\\d)(?!\\d)|[5-9](?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)",
+    "fill_missing_for_providers": [
+     "anthropic",
+     "bedrock",
+     "bedrock_converse",
+     "vertex_ai-anthropic_models"
+    ],
+    "description": "Claude at version 4.5 or higher, in any id shape that contains claude-<family>-: minors 4.5 through 4.99, any later major-minor, and bare 5+ majors so a new family like claude-fable-5 matches. Two-digit majors are deliberately not matched so ids like claude-opus-41 (4.1) are not read as major 41. Anthropic's tool search docs list every Claude 4.5 and newer model as supported and Opus 4.1 and earlier as unsupported, so the flag follows the version instead of a per-model list. azure_ai is left out on purpose: Anthropic documents tool search as unavailable on Azure-hosted Foundry deployments, and the azure_ai/ key cannot tell those from Anthropic-hosted ones.",
+    "model_info": {
+     "supports_tool_search": true
+    }
+   },
    {
     "name": "wandb-reasoning-baseline",
     "pattern": "^wandb/",
@@ -89,10 +124,32 @@
    {
     "name": "openai-reasoning-family-baseline",
     "pattern": "^(?!.*search-api)(?:[a-z0-9_.-]+/)*(?:ft:)?(?:o[1-9]\\d*(?![a-z0-9])|gpt-[5-9](?:\\.\\d+)?(?![0-9.])|(?:gpt-\\d+(?:\\.\\d+)?(?:-[a-z0-9]+)*-)?(?:codex|deep-research|chat-latest)(?![a-z0-9]))",
+    "fill_missing_for_providers": [
+     "azure",
+     "azure_ai",
+     "openai"
+    ],
     "description": "OpenAI reasoning families by id shape, under any provider namespace and with an optional ft: prefix: the o-series (o1, o3-pro, o4-mini), gpt-5 through gpt-9 majors including dotted minors and suffixed variants (gpt-5.5-cyber, gpt-6-astra), and the codex, deep-research and chat-latest lines when standalone or on a gpt base. gpt-5-search-api is excluded because it is a search-only surface. Every model here is a reasoning model, and the Responses API drops the caller's reasoning param for any mapped OpenAI model whose info lacks supports_reasoning, so an id the registry has not named yet keeps its reasoning settings instead of silently losing them. Rules lose to exact entries. Carries no mode and no pricing, so cost stays on the standard unpriced behavior.",
     "model_info": {
      "supports_reasoning": true
     }
+   },
+   {
+    "name": "gemini-chat-baseline",
+    "pattern": "gemini-(?!.*(?:-tts|-image|-live|-audio|-embedding|-computer-use|-robotics|-transcribe|-translate))(?:2[.-][5-9]|[3-9](?:[.-]\\d{1,2})?)-(?:pro|flash)(?:-lite)?(?![a-z])",
+    "description": "Any Gemini text-chat id at 2.5 or higher under any namespace, including bare ids, gemini/, vertex_ai/, openrouter/google/, deepinfra/google/, vercel_ai_gateway/google/, oci/google., and databricks-gemini-<major>-<minor>: gemini-<major>[.minor]-(pro|flash)[-lite] with any trailing preview, date or variant tag. The capability flags were verified against each of those providers' own catalogs and docs. The lookahead excludes the tts, image, live, audio, embedding, computer-use, robotics, transcribe and translate lines, which are different modes with different capabilities. Provider-specific deviations, such as Perplexity's Agent API serving these as mode responses, are carried by their exact map entries, which always win over this rule. Carries no token limits or pricing, so those stay on the standard unmapped behavior rather than a guessed number. Source check 2026-09-15: all 45 first-party 2.5+ text-chat entries in this map carry every field below, and the OpenRouter (openrouter.ai/api/v1/models), Vercel AI Gateway (ai-gateway.vercel.sh/v1/models), DeepInfra (api.deepinfra.com/models/list), OCI and Databricks model docs list reasoning, tools and image input for the same models.",
+    "model_info": {
+     "mode": "chat",
+     "supports_reasoning": true,
+     "supports_function_calling": true,
+     "supports_tool_choice": true,
+     "supports_system_messages": true,
+     "supports_vision": true,
+     "supports_response_schema": true,
+     "supports_pdf_input": true,
+     "supports_prompt_caching": true,
+     "supports_web_search": true
+    }
    }
   ]
  },
@@ -607,7 +664,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 2048
+   "prompt_cache_min_tokens": 2048,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "anthropic.claude-mythos-preview": {
    "input_cost_per_token": 0,
@@ -660,7 +718,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 2048
+   "prompt_cache_min_tokens": 2048,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "us.anthropic.claude-opus-4-7": {
    "bedrock_converse_supports_strict_tools": false,
@@ -697,7 +756,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 2048
+   "prompt_cache_min_tokens": 2048,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "eu.anthropic.claude-opus-4-7": {
    "bedrock_converse_supports_strict_tools": false,
@@ -808,7 +868,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "anthropic.claude-fable-5-1": {
    "cache_creation_input_token_cost": 1.25e-05,
@@ -846,7 +907,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "global.anthropic.claude-fable-5": {
    "cache_creation_input_token_cost": 1.25e-05,
@@ -883,7 +945,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "global.anthropic.claude-fable-5-1": {
    "cache_creation_input_token_cost": 1.25e-05,
@@ -921,7 +984,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "us.anthropic.claude-fable-5": {
    "cache_creation_input_token_cost": 1.375e-05,
@@ -958,7 +1022,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "us.anthropic.claude-fable-5-1": {
    "cache_creation_input_token_cost": 1.375e-05,
@@ -996,7 +1061,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "eu.anthropic.claude-fable-5": {
    "cache_creation_input_token_cost": 1.375e-05,
@@ -1082,6 +1148,7 @@
    "cache_read_input_token_cost": 5e-07,
    "input_cost_per_token": 5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1107,7 +1174,8 @@
    "supports_max_reasoning_effort": true,
    "supports_output_config": true,
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "global.anthropic.claude-opus-5": {
    "bedrock_converse_supports_strict_tools": false,
@@ -1118,6 +1186,7 @@
    "cache_read_input_token_cost": 5e-07,
    "input_cost_per_token": 5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1143,7 +1212,8 @@
    "supports_max_reasoning_effort": true,
    "supports_output_config": true,
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "us.anthropic.claude-opus-5": {
    "bedrock_converse_supports_strict_tools": false,
@@ -1154,6 +1224,7 @@
    "cache_read_input_token_cost": 5.5e-07,
    "input_cost_per_token": 5.5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1179,7 +1250,8 @@
    "supports_max_reasoning_effort": true,
    "supports_output_config": true,
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "eu.anthropic.claude-opus-5": {
    "bedrock_converse_supports_strict_tools": false,
@@ -1190,6 +1262,7 @@
    "cache_read_input_token_cost": 5.5e-07,
    "input_cost_per_token": 5.5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1226,6 +1299,7 @@
    "cache_read_input_token_cost": 5.5e-07,
    "input_cost_per_token": 5.5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1262,6 +1336,7 @@
    "cache_read_input_token_cost": 5.5e-07,
    "input_cost_per_token": 5.5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1298,6 +1373,7 @@
    "cache_read_input_token_cost": 5e-07,
    "input_cost_per_token": 5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1324,7 +1400,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "global.anthropic.claude-opus-4-8": {
    "bedrock_converse_supports_strict_tools": false,
@@ -1335,6 +1412,7 @@
    "cache_read_input_token_cost": 5e-07,
    "input_cost_per_token": 5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1361,7 +1439,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "us.anthropic.claude-opus-4-8": {
    "bedrock_converse_supports_strict_tools": false,
@@ -1372,6 +1451,7 @@
    "cache_read_input_token_cost": 5.5e-07,
    "input_cost_per_token": 5.5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1398,7 +1478,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "eu.anthropic.claude-opus-4-8": {
    "bedrock_converse_supports_strict_tools": false,
@@ -1409,6 +1490,7 @@
    "cache_read_input_token_cost": 5.5e-07,
    "input_cost_per_token": 5.5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1446,6 +1528,7 @@
    "cache_read_input_token_cost": 5.5e-07,
    "input_cost_per_token": 5.5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1483,6 +1566,7 @@
    "cache_read_input_token_cost": 5.5e-07,
    "input_cost_per_token": 5.5e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1553,6 +1637,7 @@
    "cache_read_input_token_cost": 2e-07,
    "input_cost_per_token": 2e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1581,7 +1666,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "global.anthropic.claude-sonnet-5": {
    "bedrock_converse_supports_strict_tools": false,
@@ -1590,6 +1676,7 @@
    "cache_read_input_token_cost": 2e-07,
    "input_cost_per_token": 2e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1618,7 +1705,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "us.anthropic.claude-sonnet-5": {
    "bedrock_converse_supports_strict_tools": false,
@@ -1627,6 +1715,7 @@
    "cache_read_input_token_cost": 2.2e-07,
    "input_cost_per_token": 2.2e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1655,7 +1744,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "eu.anthropic.claude-sonnet-5": {
    "bedrock_converse_supports_strict_tools": false,
@@ -1664,6 +1754,7 @@
    "cache_read_input_token_cost": 2.2e-07,
    "input_cost_per_token": 2.2e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1701,6 +1792,7 @@
    "cache_read_input_token_cost": 2.2e-07,
    "input_cost_per_token": 2.2e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1738,6 +1830,7 @@
    "cache_read_input_token_cost": 2.2e-07,
    "input_cost_per_token": 2.2e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
@@ -1800,7 +1893,8 @@
    "supports_native_structured_output": true,
    "supports_output_config": true,
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "global.anthropic.claude-sonnet-4-6": {
    "supports_adaptive_thinking": true,
@@ -1834,7 +1928,8 @@
    "supports_native_structured_output": true,
    "supports_output_config": true,
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "us.anthropic.claude-sonnet-4-6": {
    "supports_adaptive_thinking": true,
@@ -1868,7 +1963,8 @@
    "supports_native_structured_output": true,
    "supports_output_config": true,
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "eu.anthropic.claude-sonnet-4-6": {
    "supports_adaptive_thinking": true,
@@ -2263,7 +2359,6 @@
    "supports_vision": true
   },
   "claude-haiku-4-5-20251001": {
-   "deprecation_date": "2026-10-15",
    "cache_creation_input_token_cost": 1.25e-06,
    "cache_creation_input_token_cost_above_1hr": 2e-06,
    "cache_read_input_token_cost": 1e-07,
@@ -2287,7 +2382,6 @@
    "prompt_cache_min_tokens": 4096
   },
   "claude-haiku-4-5": {
-   "deprecation_date": "2026-10-15",
    "cache_creation_input_token_cost": 1.25e-06,
    "cache_creation_input_token_cost_above_1hr": 2e-06,
    "cache_read_input_token_cost": 1e-07,
@@ -2308,7 +2402,8 @@
    "supports_response_schema": true,
    "supports_tool_choice": true,
    "supports_vision": true,
-   "prompt_cache_min_tokens": 4096
+   "prompt_cache_min_tokens": 4096,
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-3-7-sonnet-20250219": {
    "cache_creation_input_token_cost": 3.75e-06,
@@ -2436,7 +2531,6 @@
    "prompt_cache_min_tokens": 1024
   },
   "claude-sonnet-4-5": {
-   "deprecation_date": "2026-09-29",
    "cache_creation_input_token_cost": 3.75e-06,
    "cache_creation_input_token_cost_above_1hr": 6e-06,
    "cache_creation_input_token_cost_above_1hr_above_200k_tokens": 1.2e-05,
@@ -2447,7 +2541,7 @@
    "cache_creation_input_token_cost_above_200k_tokens": 7.5e-06,
    "cache_read_input_token_cost_above_200k_tokens": 6e-07,
    "litellm_provider": "anthropic",
-   "max_input_tokens": 200000,
+   "max_input_tokens": 1000000,
    "max_output_tokens": 64000,
    "max_tokens": 64000,
    "mode": "chat",
@@ -2467,10 +2561,10 @@
    "supports_native_structured_output": true,
    "supports_tool_choice": true,
    "supports_vision": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-sonnet-4-5-20250929": {
-   "deprecation_date": "2026-09-29",
    "cache_creation_input_token_cost": 3.75e-06,
    "cache_creation_input_token_cost_above_1hr": 6e-06,
    "cache_creation_input_token_cost_above_1hr_above_200k_tokens": 1.2e-05,
@@ -2481,7 +2575,7 @@
    "cache_creation_input_token_cost_above_200k_tokens": 7.5e-06,
    "cache_read_input_token_cost_above_200k_tokens": 6e-07,
    "litellm_provider": "anthropic",
-   "max_input_tokens": 200000,
+   "max_input_tokens": 1000000,
    "max_output_tokens": 64000,
    "max_tokens": 64000,
    "mode": "chat",
@@ -2502,10 +2596,10 @@
    "supports_tool_choice": true,
    "supports_vision": true,
    "supports_web_search": true,
-   "prompt_cache_min_tokens": 1024
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://docs.anthropic.com/en/docs/about-claude/pricing"
   },
   "claude-sonnet-5": {
-   "deprecation_date": "2027-06-30",
    "cache_creation_input_token_cost": 2.5e-06,
    "cache_creation_input_token_cost_above_1hr": 4e-06,
    "cache_read_input_token_cost": 2e-07,
@@ -2529,6 +2623,7 @@
    "supports_native_structured_output": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_sampling_params": false,
@@ -2541,10 +2636,9 @@
    },
    "supports_output_config": true,
    "prompt_cache_min_tokens": 1024,
-   "source": "https://docs.anthropic.com/en/docs/about-claude/models/overview"
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-sonnet-4-6": {
-   "deprecation_date": "2027-02-17",
    "cache_creation_input_token_cost": 3.75e-06,
    "cache_creation_input_token_cost_above_1hr": 6e-06,
    "cache_read_input_token_cost": 3e-07,
@@ -2567,6 +2661,7 @@
    "supports_function_calling": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_native_structured_output": true,
@@ -2577,7 +2672,8 @@
    "prompt_cache_min_tokens": 1024,
    "provider_specific_entry": {
     "us": 1.1
-   }
+   },
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-sonnet-4-5-20250929-v1:0": {
    "cache_creation_input_token_cost": 3.75e-06,
@@ -2697,7 +2793,6 @@
    "prompt_cache_min_tokens": 1024
   },
   "claude-opus-4-5-20251101": {
-   "deprecation_date": "2026-11-24",
    "cache_creation_input_token_cost": 6.25e-06,
    "cache_creation_input_token_cost_above_1hr": 1e-05,
    "cache_read_input_token_cost": 5e-07,
@@ -2718,6 +2813,7 @@
    "supports_function_calling": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_native_structured_output": true,
@@ -2727,7 +2823,6 @@
    "prompt_cache_min_tokens": 4096
   },
   "claude-opus-4-5": {
-   "deprecation_date": "2026-11-24",
    "cache_creation_input_token_cost": 6.25e-06,
    "cache_creation_input_token_cost_above_1hr": 1e-05,
    "cache_read_input_token_cost": 5e-07,
@@ -2748,16 +2843,17 @@
    "supports_function_calling": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_native_structured_output": true,
    "supports_tool_choice": true,
    "supports_vision": true,
    "supports_output_config": true,
-   "prompt_cache_min_tokens": 4096
+   "prompt_cache_min_tokens": 4096,
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-opus-4-6": {
-   "deprecation_date": "2027-02-05",
    "cache_creation_input_token_cost": 6.25e-06,
    "cache_creation_input_token_cost_above_1hr": 1e-05,
    "cache_read_input_token_cost": 5e-07,
@@ -2780,6 +2876,7 @@
    "supports_function_calling": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_native_structured_output": true,
@@ -2791,10 +2888,10 @@
    "supports_output_config": true,
    "supports_max_reasoning_effort": true,
    "supports_speed": true,
-   "prompt_cache_min_tokens": 4096
+   "prompt_cache_min_tokens": 4096,
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-opus-4-6-20260205": {
-   "deprecation_date": "2027-02-05",
    "cache_creation_input_token_cost": 6.25e-06,
    "cache_creation_input_token_cost_above_1hr": 1e-05,
    "cache_read_input_token_cost": 5e-07,
@@ -2817,6 +2914,7 @@
    "supports_function_calling": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_native_structured_output": true,
@@ -2831,7 +2929,6 @@
    "prompt_cache_min_tokens": 4096
   },
   "claude-opus-4-7": {
-   "deprecation_date": "2027-04-16",
    "cache_creation_input_token_cost": 6.25e-06,
    "cache_creation_input_token_cost_above_1hr": 1e-05,
    "cache_read_input_token_cost": 5e-07,
@@ -2853,6 +2950,7 @@
    "supports_function_calling": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_native_structured_output": true,
@@ -2866,10 +2964,10 @@
    },
    "supports_output_config": true,
    "supports_speed": true,
-   "prompt_cache_min_tokens": 2048
+   "prompt_cache_min_tokens": 2048,
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-opus-4-7-20260416": {
-   "deprecation_date": "2027-04-16",
    "cache_creation_input_token_cost": 6.25e-06,
    "cache_creation_input_token_cost_above_1hr": 1e-05,
    "cache_read_input_token_cost": 5e-07,
@@ -2891,6 +2989,7 @@
    "supports_function_calling": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_native_structured_output": true,
@@ -2907,7 +3006,6 @@
    "prompt_cache_min_tokens": 2048
   },
   "claude-fable-5": {
-   "deprecation_date": "2027-06-09",
    "cache_creation_input_token_cost": 1.25e-05,
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@@ -2944,10 +3042,9 @@
    "supports_output_config": true,
    "prompt_cache_min_tokens": 512,
    "supports_native_structured_output": true,
-   "source": "https://docs.anthropic.com/en/docs/about-claude/models/overview"
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-fable-5-1": {
-   "deprecation_date": "2027-09-01",
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    "cache_creation_input_token_cost_above_1hr": 2e-05,
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@@ -2985,10 +3082,9 @@
    "supports_output_config": true,
    "prompt_cache_min_tokens": 512,
    "supports_native_structured_output": true,
-   "source": "https://platform.claude.com/docs/en/models/fable-5-1/overview"
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-opus-5": {
-   "deprecation_date": "2027-07-24",
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    "cache_creation_input_token_cost_above_1hr": 1e-05,
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@@ -3011,6 +3107,7 @@
    "supports_function_calling": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_native_structured_output": true,
@@ -3025,11 +3122,11 @@
    },
    "supports_output_config": true,
    "supports_speed": true,
+   "supports_fast_mode": true,
    "prompt_cache_min_tokens": 512,
-   "source": "https://docs.anthropic.com/en/docs/about-claude/models/overview"
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-opus-4-8": {
-   "deprecation_date": "2027-05-28",
    "cache_creation_input_token_cost": 6.25e-06,
    "cache_creation_input_token_cost_above_1hr": 1e-05,
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@@ -3052,6 +3149,7 @@
    "supports_function_calling": true,
    "supports_pdf_input": true,
    "supports_prompt_caching": true,
+   "supports_thinking_cache_preservation": true,
    "supports_reasoning": true,
    "supports_response_schema": true,
    "supports_native_structured_output": true,
@@ -3066,7 +3164,9 @@
    },
    "supports_output_config": true,
    "supports_speed": true,
-   "prompt_cache_min_tokens": 1024
+   "supports_fast_mode": true,
+   "prompt_cache_min_tokens": 1024,
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-sonnet-4-20250514": {
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@@ -3509,6 +3609,7 @@
    "max_tokens": 4096,
    "mode": "chat",
    "output_cost_per_token": 1.5e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_prompt_caching": true,
    "supports_system_messages": true,
@@ -3517,12 +3618,15 @@
   "gpt-3.5-turbo-0125": {
    "deprecation_date": "2026-10-23",
    "input_cost_per_token": 5e-07,
+   "input_cost_per_token_batches": 2.5e-07,
    "litellm_provider": "openai",
    "max_input_tokens": 16385,
    "max_output_tokens": 4096,
    "max_tokens": 4096,
    "mode": "chat",
    "output_cost_per_token": 1.5e-06,
+   "output_cost_per_token_batches": 7.5e-07,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": true,
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@@ -3532,12 +3636,15 @@
   "gpt-3.5-turbo-1106": {
    "deprecation_date": "2026-09-28",
    "input_cost_per_token": 1e-06,
+   "input_cost_per_token_batches": 1e-06,
    "litellm_provider": "openai",
    "max_input_tokens": 16385,
    "max_output_tokens": 4096,
    "max_tokens": 4096,
    "mode": "chat",
    "output_cost_per_token": 2e-06,
+   "output_cost_per_token_batches": 2e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": true,
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@@ -3601,12 +3708,15 @@
   "gpt-4-0613": {
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    "input_cost_per_token": 3e-05,
+   "input_cost_per_token_batches": 1.5e-05,
    "litellm_provider": "openai",
    "max_input_tokens": 8192,
    "max_output_tokens": 4096,
    "max_tokens": 4096,
    "mode": "chat",
    "output_cost_per_token": 6e-05,
+   "output_cost_per_token_batches": 3e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_prompt_caching": true,
    "supports_system_messages": true,
@@ -3647,12 +3757,15 @@
   "gpt-4-turbo-2024-04-09": {
    "deprecation_date": "2026-10-23",
    "input_cost_per_token": 1e-05,
+   "input_cost_per_token_batches": 5e-06,
    "litellm_provider": "openai",
    "max_input_tokens": 128000,
    "max_output_tokens": 4096,
    "max_tokens": 4096,
    "mode": "chat",
    "output_cost_per_token": 3e-05,
+   "output_cost_per_token_batches": 1.5e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": true,
    "supports_pdf_input": true,
@@ -3696,6 +3809,7 @@
     "search_context_size_low": 0.025,
     "search_context_size_medium": 0.025
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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     "/v1/batch",
@@ -3738,6 +3852,7 @@
     "search_context_size_low": 0.025,
     "search_context_size_medium": 0.025
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+   "source": "https://developers.openai.com/api/docs/pricing",
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     "/v1/batch",
@@ -3780,6 +3895,7 @@
     "search_context_size_low": 0.025,
     "search_context_size_medium": 0.025
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+   "source": "https://developers.openai.com/api/docs/pricing",
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     "/v1/batch",
@@ -3822,6 +3938,7 @@
     "search_context_size_low": 0.025,
     "search_context_size_medium": 0.025
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -3860,6 +3977,7 @@
    "output_cost_per_token": 4e-07,
    "output_cost_per_token_batches": 2e-07,
    "output_cost_per_token_priority": 8e-07,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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@@ -3897,6 +4015,7 @@
    "output_cost_per_token": 4e-07,
    "output_cost_per_token_priority": 8e-07,
    "output_cost_per_token_batches": 2e-07,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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@@ -3933,6 +4052,7 @@
    "output_cost_per_token": 1e-05,
    "output_cost_per_token_batches": 5e-06,
    "output_cost_per_token_priority": 1.7e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": true,
    "supports_pdf_input": true,
@@ -3955,6 +4075,7 @@
    "output_cost_per_token": 1.5e-05,
    "output_cost_per_token_batches": 7.5e-06,
    "output_cost_per_token_priority": 2.625e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
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@@ -3977,6 +4098,7 @@
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    "output_cost_per_token_priority": 1.7e-05,
    "output_cost_per_token_batches": 5e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -4000,6 +4122,7 @@
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    "output_cost_per_token_priority": 1.7e-05,
    "output_cost_per_token_batches": 5e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
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    "supports_parallel_function_calling": true,
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@@ -4074,6 +4197,7 @@
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    "output_cost_per_audio_token": 6.4e-05,
    "output_cost_per_token": 1e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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     "/v1/responses",
@@ -4110,6 +4234,7 @@
    "mode": "chat",
    "output_cost_per_audio_token": 6.4e-05,
    "output_cost_per_token": 1e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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@@ -4144,6 +4269,7 @@
    "mode": "chat",
    "output_cost_per_audio_token": 6.4e-05,
    "output_cost_per_token": 1e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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     "/v1/responses",
@@ -4181,6 +4307,7 @@
    "mode": "chat",
    "output_cost_per_audio_token": 2e-05,
    "output_cost_per_token": 2.4e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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     "/v1/responses",
@@ -4218,6 +4345,7 @@
    "mode": "chat",
    "output_cost_per_audio_token": 2e-05,
    "output_cost_per_token": 2.4e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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     "/v1/responses",
@@ -4279,7 +4407,8 @@
    "supports_system_messages": true,
    "supports_tool_choice": true,
    "supports_vision": false,
-   "deprecation_date": "2027-01-20"
+   "deprecation_date": "2027-01-20",
+   "source": "https://developers.openai.com/api/docs/pricing"
   },
   "gpt-4o-mini": {
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@@ -4307,7 +4436,8 @@
     "search_context_size_high": 0.025,
     "search_context_size_low": 0.025,
     "search_context_size_medium": 0.025
-   }
+   },
+   "source": "https://developers.openai.com/api/docs/pricing"
   },
   "gpt-4o-mini-2024-07-18": {
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@@ -4328,6 +4458,7 @@
     "search_context_size_low": 0.025,
     "search_context_size_medium": 0.025
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": true,
    "supports_pdf_input": true,
@@ -4482,6 +4613,7 @@
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    "cache_read_input_token_cost_priority": 2.5e-07,
    "input_cost_per_token": 1.25e-06,
+   "input_cost_per_token_batches": 6.25e-07,
    "input_cost_per_token_flex": 6.25e-07,
    "input_cost_per_token_priority": 2.5e-06,
    "litellm_provider": "openai",
@@ -4490,6 +4622,7 @@
    "max_tokens": 128000,
    "mode": "chat",
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+   "output_cost_per_token_batches": 5e-06,
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@@ -4497,6 +4630,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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     "/v1/batch",
@@ -4526,6 +4660,7 @@
   },
   "gpt-5.1": {
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+   "cache_read_input_token_cost_flex": 6.25e-08,
    "cache_read_input_token_cost_priority": 2.5e-07,
    "input_cost_per_token": 1.25e-06,
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@@ -4566,11 +4701,17 @@
    "supports_web_search": true,
    "supports_none_reasoning_effort": true,
    "default_reasoning_effort": "none",
+   "input_cost_per_token_batches": 6.25e-07,
+   "input_cost_per_token_flex": 6.25e-07,
+   "output_cost_per_token_batches": 5e-06,
+   "output_cost_per_token_flex": 5e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_xhigh_reasoning_effort": false,
    "supports_minimal_reasoning_effort": false
   },
   "gpt-5.1-2025-11-13": {
    "cache_read_input_token_cost": 1.25e-07,
+   "cache_read_input_token_cost_flex": 6.25e-08,
    "cache_read_input_token_cost_priority": 2.5e-07,
    "input_cost_per_token": 1.25e-06,
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@@ -4611,6 +4752,11 @@
    "supports_web_search": true,
    "supports_none_reasoning_effort": true,
    "default_reasoning_effort": "none",
+   "input_cost_per_token_batches": 6.25e-07,
+   "input_cost_per_token_flex": 6.25e-07,
+   "output_cost_per_token_batches": 5e-06,
+   "output_cost_per_token_flex": 5e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_xhigh_reasoning_effort": false,
    "supports_minimal_reasoning_effort": false
   },
@@ -4662,6 +4808,7 @@
   },
   "gpt-5.2": {
    "cache_read_input_token_cost": 1.75e-07,
+   "cache_read_input_token_cost_flex": 8.75e-08,
    "cache_read_input_token_cost_priority": 3.5e-07,
    "input_cost_per_token": 1.75e-06,
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@@ -4703,11 +4850,17 @@
    "supports_web_search": true,
    "supports_none_reasoning_effort": true,
    "default_reasoning_effort": "none",
+   "input_cost_per_token_batches": 8.75e-07,
+   "input_cost_per_token_flex": 8.75e-07,
+   "output_cost_per_token_batches": 7e-06,
+   "output_cost_per_token_flex": 7e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_xhigh_reasoning_effort": true,
    "supports_minimal_reasoning_effort": false
   },
   "gpt-5.2-2025-12-11": {
    "cache_read_input_token_cost": 1.75e-07,
+   "cache_read_input_token_cost_flex": 8.75e-08,
    "cache_read_input_token_cost_priority": 3.5e-07,
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@@ -4749,6 +4902,11 @@
    "supports_web_search": true,
    "supports_none_reasoning_effort": true,
    "default_reasoning_effort": "none",
+   "input_cost_per_token_batches": 8.75e-07,
+   "input_cost_per_token_flex": 8.75e-07,
+   "output_cost_per_token_batches": 7e-06,
+   "output_cost_per_token_flex": 7e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_xhigh_reasoning_effort": true,
    "supports_minimal_reasoning_effort": false
   },
@@ -4842,17 +5000,20 @@
   },
   "gpt-5.2-pro": {
    "input_cost_per_token": 2.1e-05,
+   "input_cost_per_token_batches": 1.05e-05,
    "litellm_provider": "openai",
    "max_input_tokens": 272000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
    "mode": "responses",
    "output_cost_per_token": 0.000168,
+   "output_cost_per_token_batches": 8.4e-05,
    "search_context_cost_per_query": {
     "search_context_size_high": 0.01,
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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     "/v1/responses"
@@ -4881,17 +5042,20 @@
   },
   "gpt-5.2-pro-2025-12-11": {
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+   "input_cost_per_token_batches": 1.05e-05,
    "litellm_provider": "openai",
    "max_input_tokens": 272000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
    "mode": "responses",
    "output_cost_per_token": 0.000168,
+   "output_cost_per_token_batches": 8.4e-05,
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     "search_context_size_high": 0.01,
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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     "/v1/responses"
@@ -4957,6 +5121,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -5093,6 +5258,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -5161,6 +5327,7 @@
     "search_context_size_low": 0.01,
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -5228,6 +5395,7 @@
     "search_context_size_low": 0.01,
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -5291,7 +5459,7 @@
    "supports_tool_choice": true,
    "supports_vision": true,
    "supports_web_search": true,
-   "source": "https://developers.openai.com/api/docs/models/gpt-5.6-cyber",
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_computer_use": true,
    "supports_parallel_function_calling": true
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@@ -5341,7 +5509,7 @@
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    "input_cost_per_token_above_272k_tokens": 8e-06,
    "litellm_provider": "openai",
-   "max_input_tokens": 1050000,
+   "max_input_tokens": 922000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
    "mode": "responses",
@@ -5426,7 +5594,8 @@
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    "output_cost_per_token_above_272k_tokens_flex": 2.25e-05,
-   "cache_read_input_token_cost_above_272k_tokens_flex": 5e-07
+   "cache_read_input_token_cost_above_272k_tokens_flex": 5e-07,
+   "source": "https://developers.openai.com/api/docs/pricing"
   },
   "gpt-5.5-2026-04-23": {
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@@ -5483,7 +5652,8 @@
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    "output_cost_per_token_above_272k_tokens_flex": 2.25e-05,
-   "cache_read_input_token_cost_above_272k_tokens_flex": 5e-07
+   "cache_read_input_token_cost_above_272k_tokens_flex": 5e-07,
+   "source": "https://developers.openai.com/api/docs/pricing"
   },
   "gpt-5.5-pro": {
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@@ -5506,6 +5676,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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@@ -5554,6 +5725,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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@@ -5631,7 +5803,8 @@
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    "output_cost_per_token_above_272k_tokens_flex": 1.125e-05,
-   "cache_read_input_token_cost_above_272k_tokens_flex": 2.5e-07
+   "cache_read_input_token_cost_above_272k_tokens_flex": 2.5e-07,
+   "source": "https://developers.openai.com/api/docs/pricing"
   },
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@@ -5683,7 +5856,8 @@
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    "output_cost_per_token_above_272k_tokens_flex": 1.125e-05,
-   "cache_read_input_token_cost_above_272k_tokens_flex": 2.5e-07
+   "cache_read_input_token_cost_above_272k_tokens_flex": 2.5e-07,
+   "source": "https://developers.openai.com/api/docs/pricing"
   },
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@@ -5732,7 +5906,8 @@
    "supports_xhigh_reasoning_effort": true,
    "supports_minimal_reasoning_effort": false,
    "input_cost_per_token_above_272k_tokens_flex": 3e-05,
-   "output_cost_per_token_above_272k_tokens_flex": 0.000135
+   "output_cost_per_token_above_272k_tokens_flex": 0.000135,
+   "source": "https://developers.openai.com/api/docs/pricing"
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@@ -5781,7 +5956,8 @@
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    "supports_minimal_reasoning_effort": false,
    "input_cost_per_token_above_272k_tokens_flex": 3e-05,
-   "output_cost_per_token_above_272k_tokens_flex": 0.000135
+   "output_cost_per_token_above_272k_tokens_flex": 0.000135,
+   "source": "https://developers.openai.com/api/docs/pricing"
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@@ -5832,6 +6008,7 @@
    "supports_web_search": true,
    "supports_none_reasoning_effort": true,
    "default_reasoning_effort": "none",
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_xhigh_reasoning_effort": true,
    "supports_minimal_reasoning_effort": false
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@@ -5884,6 +6061,7 @@
    "supports_web_search": true,
    "supports_none_reasoning_effort": true,
    "default_reasoning_effort": "none",
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_xhigh_reasoning_effort": true,
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@@ -5933,6 +6111,7 @@
    "supports_web_search": true,
    "supports_none_reasoning_effort": true,
    "default_reasoning_effort": "none",
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_xhigh_reasoning_effort": true,
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@@ -5982,6 +6161,7 @@
    "supports_web_search": true,
    "supports_none_reasoning_effort": true,
    "default_reasoning_effort": "none",
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_xhigh_reasoning_effort": true,
    "supports_minimal_reasoning_effort": false
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@@ -6000,6 +6180,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
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     "/v1/responses"
@@ -6042,6 +6223,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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    "cache_read_input_token_cost_priority": 2.5e-07,
    "deprecation_date": "2026-12-11",
    "input_cost_per_token": 1.25e-06,
+   "input_cost_per_token_batches": 6.25e-07,
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    "input_cost_per_token_priority": 2.5e-06,
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@@ -6082,6 +6265,7 @@
    "max_tokens": 128000,
    "mode": "chat",
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+   "output_cost_per_token_batches": 5e-06,
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@@ -6089,6 +6273,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -6413,6 +6598,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -6443,6 +6629,7 @@
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    "cache_read_input_token_cost_priority": 4.5e-08,
    "input_cost_per_token": 2.5e-07,
+   "input_cost_per_token_batches": 1.25e-07,
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@@ -6451,6 +6638,7 @@
    "max_tokens": 128000,
    "mode": "chat",
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+   "output_cost_per_token_batches": 1e-06,
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@@ -6458,6 +6646,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -6491,6 +6680,7 @@
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    "deprecation_date": "2026-12-11",
    "input_cost_per_token": 2.5e-07,
+   "input_cost_per_token_batches": 1.25e-07,
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@@ -6499,6 +6689,7 @@
    "max_tokens": 128000,
    "mode": "chat",
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+   "output_cost_per_token_batches": 1e-06,
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@@ -6506,6 +6697,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -6537,6 +6729,7 @@
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    "cache_read_input_token_cost_flex": 2.5e-09,
    "input_cost_per_token": 5e-08,
+   "input_cost_per_token_batches": 2.5e-08,
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@@ -6545,12 +6738,14 @@
    "max_tokens": 128000,
    "mode": "chat",
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+   "output_cost_per_token_batches": 2e-07,
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     "search_context_size_high": 0.01,
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -6583,6 +6778,7 @@
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    "deprecation_date": "2026-12-11",
    "input_cost_per_token": 5e-08,
+   "input_cost_per_token_batches": 2.5e-08,
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@@ -6591,12 +6787,14 @@
    "max_tokens": 128000,
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+   "output_cost_per_token_batches": 2e-07,
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     "search_context_size_high": 0.01,
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -6693,12 +6891,15 @@
    "cache_read_input_token_cost": 7.5e-06,
    "deprecation_date": "2026-10-23",
    "input_cost_per_token": 1.5e-05,
+   "input_cost_per_token_batches": 7.5e-06,
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    "max_input_tokens": 200000,
    "max_output_tokens": 100000,
    "max_tokens": 100000,
    "mode": "chat",
    "output_cost_per_token": 6e-05,
+   "output_cost_per_token_batches": 3e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -6713,12 +6914,15 @@
    "cache_read_input_token_cost": 7.5e-06,
    "deprecation_date": "2026-10-23",
    "input_cost_per_token": 1.5e-05,
+   "input_cost_per_token_batches": 7.5e-06,
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    "max_input_tokens": 200000,
    "max_output_tokens": 100000,
    "max_tokens": 100000,
    "mode": "chat",
    "output_cost_per_token": 6e-05,
+   "output_cost_per_token_batches": 3e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": true,
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@@ -6740,6 +6944,7 @@
    "mode": "responses",
    "output_cost_per_token": 0.0006,
    "output_cost_per_token_batches": 0.0003,
+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -6773,6 +6978,7 @@
    "mode": "responses",
    "output_cost_per_token": 0.0006,
    "output_cost_per_token_batches": 0.0003,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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@@ -6800,6 +7006,7 @@
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    "cache_read_input_token_cost_priority": 8.75e-07,
    "input_cost_per_token": 2e-06,
+   "input_cost_per_token_batches": 1e-06,
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@@ -6808,6 +7015,7 @@
    "max_tokens": 100000,
    "mode": "chat",
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+   "output_cost_per_token_batches": 4e-06,
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@@ -6815,6 +7023,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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@@ -6844,6 +7053,7 @@
    "cache_read_input_token_cost_priority": 8.75e-07,
    "deprecation_date": "2026-12-11",
    "input_cost_per_token": 2e-06,
+   "input_cost_per_token_batches": 1e-06,
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@@ -6852,6 +7062,7 @@
    "max_tokens": 100000,
    "mode": "chat",
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+   "output_cost_per_token_batches": 4e-06,
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@@ -6859,6 +7070,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -6968,12 +7180,15 @@
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    "deprecation_date": "2026-10-23",
    "input_cost_per_token": 1.1e-06,
+   "input_cost_per_token_batches": 5.5e-07,
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    "max_input_tokens": 200000,
    "max_output_tokens": 100000,
    "max_tokens": 100000,
    "mode": "chat",
    "output_cost_per_token": 4.4e-06,
+   "output_cost_per_token_batches": 2.2e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": false,
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@@ -6986,12 +7201,15 @@
    "cache_read_input_token_cost": 5.5e-07,
    "deprecation_date": "2026-10-23",
    "input_cost_per_token": 1.1e-06,
+   "input_cost_per_token_batches": 5.5e-07,
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    "max_input_tokens": 200000,
    "max_output_tokens": 100000,
    "max_tokens": 100000,
    "mode": "chat",
    "output_cost_per_token": 4.4e-06,
+   "output_cost_per_token_batches": 2.2e-06,
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": false,
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@@ -7015,6 +7233,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -7052,6 +7271,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
    "supported_endpoints": [
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@@ -7075,10 +7295,11 @@
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   "o4-mini": {
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-   "cache_read_input_token_cost_flex": 1.375e-07,
+   "cache_read_input_token_cost_flex": 1.38e-07,
    "cache_read_input_token_cost_priority": 5e-07,
    "deprecation_date": "2026-10-23",
    "input_cost_per_token": 1.1e-06,
+   "input_cost_per_token_batches": 5.5e-07,
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@@ -7087,6 +7308,7 @@
    "max_tokens": 100000,
    "mode": "chat",
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+   "output_cost_per_token_batches": 2.2e-06,
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@@ -7094,6 +7316,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": false,
    "supports_pdf_input": true,
@@ -7106,10 +7329,11 @@
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   "o4-mini-2025-04-16": {
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-   "cache_read_input_token_cost_flex": 1.375e-07,
+   "cache_read_input_token_cost_flex": 1.38e-07,
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    "deprecation_date": "2026-10-23",
    "input_cost_per_token": 1.1e-06,
+   "input_cost_per_token_batches": 5.5e-07,
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@@ -7118,6 +7342,7 @@
    "max_tokens": 100000,
    "mode": "chat",
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+   "output_cost_per_token_batches": 2.2e-06,
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@@ -7125,6 +7350,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
    "supports_parallel_function_calling": false,
    "supports_pdf_input": true,
@@ -7532,12 +7758,14 @@
    "cache_read_input_token_cost": 2.4e-07,
    "input_cost_per_token": 2.4e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
    "mode": "chat",
    "output_cost_per_token": 1.2e-05,
    "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json",
    "supports_adaptive_thinking": true,
    "supports_assistant_prefill": false,
    "supports_computer_use": true,
@@ -7564,12 +7792,14 @@
    "cache_read_input_token_cost": 6e-07,
    "input_cost_per_token": 6e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
    "mode": "chat",
    "output_cost_per_token": 3e-05,
    "prompt_cache_min_tokens": 1024,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json",
    "supports_adaptive_thinking": true,
    "supports_assistant_prefill": false,
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@@ -7595,12 +7825,14 @@
    "cache_read_input_token_cost": 6e-07,
    "input_cost_per_token": 6e-06,
    "litellm_provider": "bedrock_converse",
+   "supports_tool_search": true,
    "max_input_tokens": 1000000,
    "max_output_tokens": 128000,
    "max_tokens": 128000,
    "mode": "chat",
    "output_cost_per_token": 3e-05,
    "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json",
    "supports_adaptive_thinking": true,
    "supports_assistant_prefill": false,
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@@ -7650,7 +7882,8 @@
    "supports_output_config": true,
    "bedrock_output_config_effort_ceiling": "xhigh",
    "supports_parallel_tool_use_config": true,
-   "prompt_cache_min_tokens": 512
+   "prompt_cache_min_tokens": 512,
+   "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrockFoundationModels/current/index.json"
   },
   "us-gov.openai.gpt-oss-20b-1:0": {
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@@ -7872,6 +8105,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
    },
+   "source": "https://developers.openai.com/api/docs/pricing",
    "supports_function_calling": true,
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    "supports_pdf_input": true,
@@ -7899,6 +8133,7 @@
     "search_context_size_low": 0.01,
     "search_context_size_medium": 0.01
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+   "source": "https://developers.openai.com/api/docs/pricing",
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@@ -8166,7 +8401,7 @@
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     "search_context_size_medium": 0.01
    },
-   "source": "https://platform.claude.com/docs/en/about-claude/models/overview",
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing",
    "supports_adaptive_thinking": true,
    "thinking_always_on": true,
    "supports_mid_conversation_system": true,
@@ -8189,7 +8424,6 @@
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    "cache_creation_input_token_cost_above_1hr": 2e-05,
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@@ -8227,7 +8461,7 @@
    "supports_output_config": true,
    "prompt_cache_min_tokens": 512,
    "supports_native_structured_output": true,
-   "source": "https://platform.claude.com/docs/en/models/mythos-5-1/overview"
+   "source": "https://platform.claude.com/docs/en/about-claude/pricing"
   },
   "claude-mythos-preview": {
    "cache_creation_input_token_cost": 1.25e-05,
@@ -8267,6 +8501,23 @@
     "us": 1.1
    }
   },
+  "gpt-5.5-cyber": {
+   "cache_read_input_token_cost": 1.25e-06,
+   "input_cost_per_token": 1.25e-05,
+   "litellm_provider": "openai",
+   "mode": "chat",
+   "output_cost_per_token": 7.5e-05,
+   "source": "https://developers.openai.com/api/docs/pricing",
+   "supports_reasoning": true
+  },
+  "gpt-rosalind-research": {
+   "cache_read_input_token_cost": 5e-07,
+   "input_cost_per_token": 5e-06,
+   "litellm_provider": "openai",
+   "mode": "chat",
+   "output_cost_per_token": 2.5e-05,
+   "source": "https://developers.openai.com/api/docs/pricing"
+  },
   "claude-opus-5-5": {
    "litellm_provider": "anthropic",
    "mode": "chat",
diff --git a/packages/atif-converter/src/atif_converter/domain/pricing.py b/packages/atif-converter/src/atif_converter/domain/pricing.py
index c81fdef..381fc7a 100644
--- a/packages/atif-converter/src/atif_converter/domain/pricing.py
+++ b/packages/atif-converter/src/atif_converter/domain/pricing.py
@@ -8,7 +8,7 @@
 reads :data:`TABLE_FILENAME`, a filtered copy of litellm's public
 ``model_prices_and_context_window.json`` (MIT, notice and source ref in the
 file's ``meta`` block) regenerated by hand with ``scripts/update_prices.py``,
-and repeats litellm 1.102.0's arithmetic in the same float operation order.
+and repeats litellm 1.103.2's arithmetic in the same float operation order.
 For every entry the table carries, the output is bit for bit what litellm
 returns from the same data, which ``tests/test_pricing_identity.py`` proves
 against litellm itself wherever litellm is installed as a dev dependency.
@@ -40,7 +40,7 @@
 source, and drops each one the day upstream prices the same key. A session
 priced from one is labeled :data:`COST_SOURCE_WITH_OVERRIDES`.
 
-THE ARITHMETIC, as litellm 1.102.0 performs it for these providers
+THE ARITHMETIC, as litellm 1.103.2 performs it for these providers
 (``cost_calculator.cost_per_token`` -> ``generic_cost_per_token``)::
 
     text = max(prompt_tokens - cache_read - cache_creation, 0)
@@ -57,8 +57,17 @@
 ``ultrafast`` (``fast`` reads the ``_priority`` key; ``standard`` and any
 other tier read the base key), then the ``*_above_<n>k_tokens`` variants when
 ``prompt_tokens`` (input tokens alone, cache excluded) exceeds the largest
-threshold the entry prices. A missing rate is ``0.0``, except that a missing
-service-tier key falls back to its base key.
+threshold the entry prices. A missing input or output rate is ``0.0``, and a
+missing service-tier key falls back to its base key. A missing cache-creation
+or cache-read rate (after the tier and threshold lookups) is the resolved input
+rate, since a provider that publishes no cache price bills cached tokens as
+ordinary input; an explicit ``0.0`` stays a real price. A missing one-hour
+cache-write rate is the resolved cache-creation rate. litellm took that rule in
+v1.103.0 (BerriAI/litellm commits 22b377fe2aad, "price cache writes without a
+creation rate", 8573241c4981, "resolve a missing 1h cache write rate after
+off-peak pricing", and 88d1eb3b35b4, "bill cache-read tokens at the input rate
+when the map has no cache-read rate"); before it, both cache rates defaulted to
+``0.0``.
 """
 
 from __future__ import annotations
@@ -224,6 +233,19 @@ def match_capabilities(self, model: str) -> dict[str, Any] | None:
 
 @dataclass(frozen=True, slots=True)
 class _Rates:
+    """The rates ``_get_token_base_cost`` resolves; a cache rate is ``None`` until resolved."""
+
+    prompt: float
+    completion: float
+    cache_creation: float | None
+    cache_creation_above_1hr: float | None
+    cache_read: float | None
+
+
+@dataclass(frozen=True, slots=True)
+class _ResolvedRates:
+    """The five rates ``_get_token_base_cost`` returns, every one a float."""
+
     prompt: float
     completion: float
     cache_creation: float
@@ -503,14 +525,18 @@ def _tiered_rates(
     def tiered(base: str, current: float) -> float:
         return _rate(entry, _tier_key(f"{base}{tail}", service_tier), current)
 
+    def tiered_cache(base: str, current: float | None) -> float | None:
+        # Default None: a cache rate stays unresolved through the threshold lookup.
+        return _cost_per_unit(entry, _tier_key(f"{base}{tail}", service_tier), current)
+
     return _Rates(
         prompt=tiered("input_cost_per_token", rates.prompt),
         completion=tiered("output_cost_per_token", rates.completion),
-        cache_creation=tiered("cache_creation_input_token_cost", rates.cache_creation),
-        cache_creation_above_1hr=tiered(
+        cache_creation=tiered_cache("cache_creation_input_token_cost", rates.cache_creation),
+        cache_creation_above_1hr=tiered_cache(
             "cache_creation_input_token_cost_above_1hr", rates.cache_creation_above_1hr
         ),
-        cache_read=tiered("cache_read_input_token_cost", rates.cache_read),
+        cache_read=tiered_cache("cache_read_input_token_cost", rates.cache_read),
     )
 
 
@@ -534,11 +560,16 @@ def _above_threshold_rates(
     return rates
 
 
-def _base_rates(entry: dict[str, Any], prompt_tokens: int, service_tier: str | None) -> _Rates:
+def _base_rates(
+    entry: dict[str, Any], prompt_tokens: int, service_tier: str | None
+) -> _ResolvedRates:
     """``_get_token_base_cost`` for an entry without ``tiered_pricing``."""
     tiered_pricing = entry.get("tiered_pricing")
     if isinstance(tiered_pricing, list) and tiered_pricing:
         _decline("tiered_pricing table")
+    if entry.get("off_peak_pricing"):
+        # litellm swaps in off-peak rates by wall-clock time; a conversion must not.
+        _decline("off_peak_pricing block")
     prompt = _rate(entry, _tier_key("input_cost_per_token", service_tier))
     completion = _rate(entry, _tier_key("output_cost_per_token", service_tier))
     if completion == 0.0:
@@ -548,11 +579,32 @@ def _base_rates(entry: dict[str, Any], prompt_tokens: int, service_tier: str | N
     rates = _Rates(
         prompt=prompt,
         completion=completion,
-        cache_creation=_rate(entry, _tier_key("cache_creation_input_token_cost", service_tier)),
-        cache_creation_above_1hr=_rate(entry, "cache_creation_input_token_cost_above_1hr"),
-        cache_read=_rate(entry, _tier_key("cache_read_input_token_cost", service_tier)),
+        cache_creation=_cost_per_unit(
+            entry, _tier_key("cache_creation_input_token_cost", service_tier), None
+        ),
+        cache_creation_above_1hr=_cost_per_unit(
+            entry, "cache_creation_input_token_cost_above_1hr", None
+        ),
+        cache_read=_cost_per_unit(
+            entry, _tier_key("cache_read_input_token_cost", service_tier), None
+        ),
+    )
+    rates = _above_threshold_rates(entry, prompt_tokens, service_tier, rates)
+    # A missing cache rate bills as input (litellm v1.103.0, see the module docstring).
+    # An entry with off_peak_pricing was declined above, so the input rate is the resolved one.
+    cache_creation = rates.prompt if rates.cache_creation is None else rates.cache_creation
+    cache_read = rates.prompt if rates.cache_read is None else rates.cache_read
+    return _ResolvedRates(
+        prompt=rates.prompt,
+        completion=rates.completion,
+        cache_creation=cache_creation,
+        cache_creation_above_1hr=(
+            cache_creation
+            if rates.cache_creation_above_1hr is None
+            else rates.cache_creation_above_1hr
+        ),
+        cache_read=cache_read,
     )
-    return _above_threshold_rates(entry, prompt_tokens, service_tier, rates)
 
 
 # --------------------------------------------------------------------------- public API
diff --git a/packages/atif-converter/src/atif_converter/domain/schema_version.py b/packages/atif-converter/src/atif_converter/domain/schema_version.py
index 3c66077..2e32d83 100644
--- a/packages/atif-converter/src/atif_converter/domain/schema_version.py
+++ b/packages/atif-converter/src/atif_converter/domain/schema_version.py
@@ -46,12 +46,19 @@
 * 5 — Claude Code ``agent.extra`` lists (``cwds``, ``git_branches``,
   ``agent_ids``) in first-seen order instead of set order, so a session
   converts to the same bytes in every process.
+* 6 — prices from litellm v1.103.2, whose arithmetic bills cache writes and
+  cache reads at the input rate for a model that publishes no cache-creation
+  or cache-read rate (every OpenAI text model's cache writes, and cached
+  tokens of the 46 entries with no cache-read rate), where v1.102.0 billed
+  them $0. The table also adds flex rates for gpt-5.1 and gpt-5.2 and moves
+  o4-mini's flex cache-read rate. ``total_cost_usd`` and ``metrics.cost_usd``
+  change for every such session.
 """
 
 from __future__ import annotations
 
 from typing import Final
 
-CONVERTER_SCHEMA_VERSION: Final = 5
+CONVERTER_SCHEMA_VERSION: Final = 6
 
 __all__ = ["CONVERTER_SCHEMA_VERSION"]
diff --git a/packages/atif-converter/tests/goldens/codex.synthetic.trajectory.json b/packages/atif-converter/tests/goldens/codex.synthetic.trajectory.json
index 5b2ae10..825c79e 100644
--- a/packages/atif-converter/tests/goldens/codex.synthetic.trajectory.json
+++ b/packages/atif-converter/tests/goldens/codex.synthetic.trajectory.json
@@ -27,7 +27,7 @@
       "total_tokens": 1108
     },
     "total_completion_tokens": 8,
-    "total_cost_usd": 0.00198,
+    "total_cost_usd": 0.003105,
     "total_prompt_tokens": 1100,
     "total_steps": 4
   },
@@ -65,7 +65,7 @@
       "message": "",
       "metrics": {
         "completion_tokens": 40,
-        "cost_usd": 0.0005250000000000001,
+        "cost_usd": 0.0016500000000000002,
         "extra": {
           "cache_write_input_tokens": 900,
           "reasoning_output_tokens": 0,
diff --git a/packages/atif-converter/tests/test_converter_schema_version.py b/packages/atif-converter/tests/test_converter_schema_version.py
index 2d981df..b61d33b 100644
--- a/packages/atif-converter/tests/test_converter_schema_version.py
+++ b/packages/atif-converter/tests/test_converter_schema_version.py
@@ -28,8 +28,8 @@
 
 #: The reviewed pair. Update BOTH in the commit that changes converter code:
 #: the version only when output can change, the digest always.
-PINNED_VERSION = 5
-PINNED_SOURCE_DIGEST = "d020b4ec427c70b0c6c4c66ea8e5ed2600b34cac95d4756f8095a0ea8fc06618"
+PINNED_VERSION = 6
+PINNED_SOURCE_DIGEST = "cc8a446eb77078bf405812bc8985436e644ee1f70f123e58387137b744f717d4"
 
 _SRC = Path(__file__).resolve().parents[1] / "src" / "atif_converter"
 
diff --git a/packages/atif-converter/tests/test_pricing_policy.py b/packages/atif-converter/tests/test_pricing_policy.py
index a3d7664..97db8cb 100644
--- a/packages/atif-converter/tests/test_pricing_policy.py
+++ b/packages/atif-converter/tests/test_pricing_policy.py
@@ -31,7 +31,10 @@
 #: (model, (prompt, completion, cache_creation, cache_read), tier, expected), captured
 #: from ``litellm.cost_per_token`` 1.100.1 on 2026-09-27, apart from the two gpt-5.5
 #: priority rows, re-captured from 1.102.0 on 2026-09-28 after upstream raised those
-#: rates. They hold the arithmetic still when litellm isn't installed to compare against.
+#: rates, and the eight gpt-5.1-codex and gpt-5.5 rows, re-captured from 1.103.2 on
+#: 2026-10-08 once litellm billed cache writes at the input rate for a model with no
+#: cache-creation rate. They hold the arithmetic still when litellm isn't installed to
+#: compare against.
 FROZEN_PRICES: list[tuple[str, tuple[int, int, int, int], str, tuple[float, float]]] = [
     ("claude-opus-5", (1234, 567, 8901, 23456), "standard", (0.06735925, 0.014175)),
     ("claude-opus-5", (238085, 12582, 214679, 238085), "standard", (1.46078625, 0.31455)),
@@ -110,30 +113,30 @@
         "gpt-5.1-codex",
         (1234, 567, 8901, 23456),
         "standard",
-        (0.0029319999999999997, 0.0056700000000000006),
+        (0.014058250000000001, 0.0056700000000000006),
     ),
     (
         "gpt-5.1-codex",
         (1234, 567, 8901, 23456),
         "priority",
-        (0.005863999999999999, 0.011340000000000001),
+        (0.028116500000000003, 0.011340000000000001),
     ),
     (
         "gpt-5.1-codex",
         (238085, 12582, 214679, 238085),
         "standard",
-        (0.029760625, 0.12582000000000002),
+        (0.298109375, 0.12582000000000002),
     ),
     (
         "gpt-5.1-codex",
         (238085, 12582, 214679, 238085),
         "priority",
-        (0.05952125, 0.25164000000000003),
+        (0.59621875, 0.25164000000000003),
     ),
-    ("gpt-5.5", (1234, 567, 8901, 23456), "standard", (0.011727999999999999, 0.01701)),
-    ("gpt-5.5", (1234, 567, 8901, 23456), "priority", (0.029320000000000002, 0.04252499999999999)),
-    ("gpt-5.5", (238085, 12582, 214679, 238085), "standard", (0.1190425, 0.37746)),
-    ("gpt-5.5", (238085, 12582, 214679, 238085), "priority", (0.29760625, 0.9436499999999999)),
+    ("gpt-5.5", (1234, 567, 8901, 23456), "standard", (0.056233000000000005, 0.01701)),
+    ("gpt-5.5", (1234, 567, 8901, 23456), "priority", (0.1405825, 0.04252499999999999)),
+    ("gpt-5.5", (238085, 12582, 214679, 238085), "standard", (1.1924375, 0.37746)),
+    ("gpt-5.5", (238085, 12582, 214679, 238085), "priority", (2.98109375, 0.9436499999999999)),
 ]
 
 UNKNOWN_CLAUDE = "claude-newfamily-7"
diff --git a/pyproject.toml b/pyproject.toml
index 23c3212..f2aa376 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,7 +41,7 @@ classifiers = [
 dependencies = [
     "anyio>=4.11.0",
     "boto3>=1.42.91",
-    "cyclopts>=4.10.2",
+    "cyclopts>=5.1.1",
     "duckdb>=1.5.2,<2",
     "imagesize>=2.0",
     "lancedb>=0.30,<0.40",
diff --git a/uv.lock b/uv.lock
index 5a66b20..49b3507 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,6 +1,10 @@
 version = 1
-revision = 3
+revision = 5
 requires-python = ">=3.13"
+resolution-markers = [
+    "python_full_version >= '3.14'",
+    "python_full_version < '3.14'",
+]
 
 [options]
 exclude-newer = "0001-01-01T00:00:00Z" # This has no effect and is included for backwards compatibility when using relative exclude-newer values.
@@ -207,7 +211,7 @@ requires-dist = [
     { name = "atif-corpus", editable = "packages/atif-corpus" },
     { name = "atif-duck", editable = "packages/atif-duck" },
     { name = "atif-embed", editable = "packages/atif-embed" },
-    { name = "cyclopts", specifier = ">=4.10.2" },
+    { name = "cyclopts", specifier = ">=5.1.1" },
     { name = "duckdb", specifier = ">=1.5.2,<2" },
     { name = "loguru", specifier = ">=0.7.3" },
 ]
@@ -368,7 +372,7 @@ dev = [
 requires-dist = [
     { name = "anyio", specifier = ">=4.11.0" },
     { name = "boto3", specifier = ">=1.42.91" },
-    { name = "cyclopts", specifier = ">=4.10.2" },
+    { name = "cyclopts", specifier = ">=5.1.1" },
     { name = "duckdb", specifier = ">=1.5.2,<2" },
     { name = "imagesize", specifier = ">=2.0" },
     { name = "lancedb", specifier = ">=0.30,<0.40" },
@@ -407,30 +411,30 @@ wheels = [
 
 [[package]]
 name = "boto3"
-version = "1.43.98"
+version = "1.43.106"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "botocore" },
     { name = "jmespath" },
     { name = "s3transfer" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/8d/4d/8164128d7a1d408f15849ada4632da37b13a5953c9bb3993998eb5d43ca1/boto3-1.43.98.tar.gz", hash = "sha256:1ec732e023fb29c12dc8520f925b5bbbed29eeb36b5764b5a5c26052d7c721f7", size = 112658, upload-time = "2026-09-18T20:10:05.921Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/49/01/97aaee4d3e94467983a0c1b986ed4f4da48960d7ebc948e7d739c818cb59/boto3-1.43.106.tar.gz", hash = "sha256:c11ad4c429a983493ba10014c7af9831a455c2c0eea91c1cefff74530e480277", size = 112730, upload-time = "2026-09-30T19:36:41.684Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/bc/46/d29efd46ecac6637065a39418c5fb95500d70ec63e76065b5a72c936172f/boto3-1.43.98-py3-none-any.whl", hash = "sha256:7454f666a9e852a56db0a7fa23be33a899f64e27828930eac43c3edba7b34e17", size = 140033, upload-time = "2026-09-18T20:10:04.513Z" },
+    { url = "https://files.pythonhosted.org/packages/72/d8/a01764ffd32fbcd66c5575eb85764ae9ea7b7d03dc591592e132c43af1f5/boto3-1.43.106-py3-none-any.whl", hash = "sha256:fdf2e304f9e8864b8613591b18b36ee995560c9666033622eda1cb9057866880", size = 140045, upload-time = "2026-09-30T19:36:40.228Z" },
 ]
 
 [[package]]
 name = "botocore"
-version = "1.43.98"
+version = "1.43.106"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jmespath" },
     { name = "python-dateutil" },
     { name = "urllib3" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/36/5e/8d655aeaae195b9856a554e724322092b4cc1b8bb58a29167bea80bf800c/botocore-1.43.98.tar.gz", hash = "sha256:6135dd639ea6d1b3b49381bc253c8a139d61f7d44cb5f7dae8e7cd1791758572", size = 16127750, upload-time = "2026-09-18T20:10:00.892Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/11/b9/10ca68d0092895d5ea60f485a61a9840d5aff9d732c66ed60da53a20b1d4/botocore-1.43.106.tar.gz", hash = "sha256:006870b3b4e40547232ad12c3bb4faec91bbbe0659aafaa3b7fa48a112c4ee97", size = 16271399, upload-time = "2026-09-30T19:36:35.836Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/65/ca/c7617e99c3247f545233ab2181840d142c5f72034e22864172866fb1369a/botocore-1.43.98-py3-none-any.whl", hash = "sha256:84b35b10402c2fc0c265f634fbf86336eecc6489ee23f55074b329924b2cfd6f", size = 15817751, upload-time = "2026-09-18T20:09:57.566Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/eb/c51d3b54dfaa9267a687359d946dc2a1ca6a27fb4d381773e59b7bd72bf4/botocore-1.43.106-py3-none-any.whl", hash = "sha256:c1fb8818f9957cb5037f73db34ac1a12ba43562e31d6e7f9cb7e5fc64e1dba78", size = 15965506, upload-time = "2026-09-30T19:36:32.625Z" },
 ]
 
 [[package]]
@@ -517,117 +521,117 @@ wheels = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.5.1"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/e5/3f/143b048436775b0f76ac3eec145c019e8173ccc2885c8f20319b996d5e83/charset_normalizer-3.5.1.tar.gz", hash = "sha256:6117b84ea48435e5356dc737f5121485c30920ba43375fa7b434fd753df0eac3", size = 171764, upload-time = "2026-08-15T08:20:44.807Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/bc/61/2cb6ad133dbbb449fa2d37ccae973232f4827e799af258d15e589a3d1e9e/charset_normalizer-3.5.1-cp313-cp313-android_24_arm64_v8a.whl", hash = "sha256:4f298bdadb8f0b9e5672877f647d1be9373ef5320c9e2f049795e26cad28b6a9", size = 211584, upload-time = "2026-08-15T08:17:33.597Z" },
-    { url = "https://files.pythonhosted.org/packages/18/57/a305c968be1ca13f3dd1b32f445877e97addf55d80b65c7cb35fac82b777/charset_normalizer-3.5.1-cp313-cp313-android_24_x86_64.whl", hash = "sha256:88ca277405c2d3b71c4e1c2ee0e7966e807bcba86a69d11e19ba199d18ae4491", size = 223359, upload-time = "2026-08-15T08:17:35.022Z" },
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