firecrawl · rakshith48 · Aug 20, 2026 · Aug 18, 2026 · Aug 20, 2026
diff --git a/advanced-scraping-guide.mdx b/advanced-scraping-guide.mdx
@@ -464,7 +464,7 @@ Use the `/v2/agent` endpoint for autonomous, multi-page data extraction. The age
 | `schema` | `object` | — | JSON schema to structure the extracted data. |
 | `maxCredits` | `number` | `2500` | Maximum credits the agent can spend. The dashboard supports up to 2,500; for higher limits, set this via the API (values above 2,500 are always billed as paid requests). |
 | `strictConstrainToURLs` | `boolean` | `false` | When `true`, the agent only visits the provided URLs. |
-| `model` | `string` | `"spark-1-mini"` | AI model to use. `"spark-1-mini"` (default, 60% cheaper) or `"spark-1-pro"` (higher accuracy). |
+| `model` | `string` | `"spark-2"` | AI model to use. `"spark-2"` (default, cheapest and fastest), `"spark-1-mini"` (60% cheaper than Pro) or `"spark-1-pro"` (higher accuracy). |
 
 <CodeGroup>
 

diff --git a/api-reference/v2-openapi.json b/api-reference/v2-openapi.json
@@ -2510,11 +2510,12 @@
                   "model": {
                     "type": "string",
                     "enum": [
+                      "spark-2",
                       "spark-1-mini",
                       "spark-1-pro"
                     ],
-                    "default": "spark-1-mini",
-                    "description": "The model to use for the agent task. spark-1-mini (default) is 60% cheaper, spark-1-pro offers higher accuracy for complex tasks"
+                    "default": "spark-2",
+                    "description": "The model to use for the agent task. spark-2 (default) is cheaper and faster than both Spark 1 models at comparable accuracy. spark-1-mini is 60% cheaper than spark-1-pro, which offers higher accuracy for complex tasks"
                   },
                   "auditMetadata": {
                     "$ref": "#/components/schemas/AuditMetadata"
@@ -2635,10 +2636,11 @@
                     "model": {
                       "type": "string",
                       "enum": [
+                        "spark-2",
                         "spark-1-pro",
                         "spark-1-mini"
                       ],
-                      "default": "spark-1-pro",
+                      "default": "spark-2",
                       "description": "Model preset used for the agent run"
                     },
                     "error": {

diff --git a/developer-guides/usage-guides/choosing-the-data-extractor.mdx b/developer-guides/usage-guides/choosing-the-data-extractor.mdx
@@ -41,7 +41,7 @@ The `/agent` endpoint is Firecrawl's most advanced offering—the successor to `
 - **Autonomous Navigation**: The agent searches and navigates deep into sites to find your data
 - **Deep Web Search**: Autonomously discovers information across multiple domains and pages
 - **Parallel Processing**: Processes multiple sources simultaneously for faster results
-- **Models Available**: `spark-1-mini` (default, 60% cheaper) and `spark-1-pro` (higher accuracy)
+- **Models Available**: `spark-2` (default, cheapest and fastest), `spark-1-mini` (60% cheaper than Pro) and `spark-1-pro` (higher accuracy)
 
 ### Example
 
@@ -204,7 +204,7 @@ result = app.agent(
     urls=["https://example.com"],  # Optional - can omit entirely
     prompt="Extract product information from example.com",
     schema=schema,
-    model="spark-1-mini"  # or "spark-1-pro" for higher accuracy
+    model="spark-2"  # default; "spark-1-mini" or "spark-1-pro" also available
 )
 ```
 

diff --git a/features/agent.mdx b/features/agent.mdx
@@ -131,18 +131,28 @@ You can share agent runs directly from the Agent playground. Shared links are pu
 
 ## Model Selection
 
-Firecrawl Agent offers two models. **Spark 1 Mini is 60% cheaper** and is the default — perfect for most use cases. Upgrade to Spark 1 Pro when you need maximum accuracy on complex tasks.
+Firecrawl Agent offers three models. **Spark 2** is the default: cheaper and faster than either Spark 1 model, at comparable accuracy. Both Spark 1 models remain available and unchanged.
 
 | Model | Cost | Accuracy | Best For |
 |-------|------|----------|----------|
-| `spark-1-mini` | **60% cheaper** | Standard | Most tasks (default) |
+| `spark-2` | Lowest | Comparable to Pro | All tasks (default) |
+| `spark-1-mini` | **60% cheaper** than Pro | Standard | Cost-sensitive Spark 1 workloads |
 | `spark-1-pro` | Standard | Higher | Complex research, critical extraction |
 
 <Tip>
-**Start with Spark 1 Mini** (default) — it handles most extraction tasks well at 60% lower cost. Switch to Pro only for complex multi-domain research or when accuracy is critical.
+**Spark 2 is the default**, so you can omit the `model` parameter — it costs less and finishes faster than both Spark 1 models on most tasks. The Spark 1 models stay available: among them, start with Mini and switch to Pro only for complex multi-domain research or when accuracy is critical.
 </Tip>
 
-### Spark 1 Mini (Default)
+### Spark 2 (Default)
+
+`spark-2` is our newest agent model and the default for every request. It handles the full range of tasks that previously called for a Mini-versus-Pro decision, so there is no accuracy-versus-cost trade-off to make.
+
+**Use Spark 2 when:**
+- You want the lowest cost per run
+- Run time matters
+- You would otherwise reach for Spark 1 Pro's accuracy
+
+### Spark 1 Mini
 
 `spark-1-mini` is our efficient model, ideal for straightforward data extraction tasks.
 
@@ -164,7 +174,7 @@ Firecrawl Agent offers two models. **Spark 1 Mini is 60% cheaper** and is the de
 
 ### Specifying a Model
 
-Pass the `model` parameter to select which model to use:
+`spark-2` is the default, so the `model` parameter is optional. Pass it to select a different model:
 
 <CodeGroup>
 
@@ -179,7 +189,7 @@ Pass the `model` parameter to select which model to use:
 | Parameter | Type | Required | Description |
 |-----------|------|----------|-------------|
 | `prompt` | string | **Yes** | Natural language description of the data you want to extract (max 10,000 characters) |
-| `model` | string | No | Model to use: `spark-1-mini` (default) or `spark-1-pro` |
+| `model` | string | No | Model to use: `spark-2` (default), `spark-1-mini`, or `spark-1-pro` |
 | `urls` | array | No | Optional list of URLs to focus the extraction |
 | `schema` | object | No | Optional JSON schema for structured output |
 | `maxCredits` | number | No | Maximum number of credits to spend on this agent task. Defaults to **2,500** if not set. The dashboard supports values up to **2,500**; for higher limits, set `maxCredits` via the API (values above 2,500 are always treated as paid requests). If the limit is reached, the job fails and **no data is returned**. Failed runs are not billed: credits used for AI reasoning are never charged on failure, any credits used for tool calls during the run (scraping, search, mapping, etc.) are refunded, and the response reports `creditsUsed: 0`. |

diff --git a/features/models.mdx b/features/models.mdx
@@ -2,7 +2,7 @@
 title: "Models"
 description: "Choose the right model for your agent extraction tasks."
 og:title: "Agent Models | Firecrawl"
-og:description: "Choose between Spark 1 Mini and Spark 1 Pro for your agent extraction tasks."
+og:description: "Choose between Spark 2, Spark 1 Mini, and Spark 1 Pro for your agent extraction tasks."
 sidebarTitle: "Models"
 hidden: true
 noindex: true
@@ -13,20 +13,36 @@ import AgentWithModelPython from "/snippets/v2/agent/with-model/python.mdx";
 import AgentWithModelJS from "/snippets/v2/agent/with-model/js.mdx";
 import AgentWithModelCURL from "/snippets/v2/agent/with-model/curl.mdx";
 
-Firecrawl Agent offers two models optimized for different use cases. Choose the right model based on your extraction complexity and cost requirements.
+Firecrawl Agent offers three models optimized for different use cases. Choose the right model based on your extraction complexity and cost requirements.
 
 ## Available Models
 
 | Model | Cost | Accuracy | Best For |
 |-------|------|----------|----------|
-| `spark-1-mini` | **60% cheaper** | Standard | Most tasks (default) |
+| `spark-2` | Lowest | Comparable to Pro | All tasks (default) |
+| `spark-1-mini` | **60% cheaper** than Pro | Standard | Cost-sensitive Spark 1 workloads |
 | `spark-1-pro` | Standard | Higher | Complex research, critical extraction |
 
 <Tip>
-**Start with Spark 1 Mini** (default) — it handles most extraction tasks well at 60% lower cost. Switch to Pro only for complex multi-domain research or when accuracy is critical.
+**Spark 2 is the default**, so you can omit the `model` parameter — it costs less and finishes faster than both Spark 1 models on most tasks. The Spark 1 models stay available: among them, start with Mini and switch to Pro only for complex multi-domain research or when accuracy is critical.
 </Tip>
 
-## Spark 1 Mini (Default)
+## Spark 2 (Default)
+
+`spark-2` is our newest agent model and the default for every request. It removes the accuracy-versus-cost decision: it is cheaper and faster than both Spark 1 models while matching Spark 1 Pro's accuracy, and it completes a higher share of runs.
+
+**Use Spark 2 when:**
+- You want the lowest cost per run
+- Run time matters
+- You would otherwise reach for Spark 1 Pro's accuracy
+- You have not set `model` at all — this is what you get
+
+**Example use cases:**
+- Anything you run on Spark 1 Mini or Spark 1 Pro today
+- High-volume extraction where cost per run drives the budget
+- Multi-domain research that needs to come back quickly
+
+## Spark 1 Mini
 
 `spark-1-mini` is our efficient model, ideal for straightforward data extraction tasks.
 
@@ -60,7 +76,7 @@ Firecrawl Agent offers two models optimized for different use cases. Choose the
 
 ## Specifying a Model
 
-Pass the `model` parameter to select which model to use:
+`spark-2` is the default, so the `model` parameter is optional. Pass it to select a different model:
 
 <CodeGroup>
 
@@ -72,19 +88,20 @@ Pass the `model` parameter to select which model to use:
 
 ## Model Comparison
 
-| Feature | Spark 1 Mini | Spark 1 Pro |
-|---------|--------------|-------------|
-| **Cost** | 60% cheaper | Standard |
-| **Accuracy** | Standard | Higher |
-| **Speed** | Fast | Fast |
-| **Best for** | Most tasks | Complex tasks |
-| **Reasoning** | Standard | Advanced |
-| **Multi-domain** | Good | Excellent |
+| Feature | Spark 2 | Spark 1 Mini | Spark 1 Pro |
+|---------|---------|--------------|-------------|
+| **Cost** | Lowest | 60% cheaper than Pro | Standard |
+| **Accuracy** | Comparable to Pro | Standard | Higher |
+| **Speed** | Fastest | Fast | Fast |
+| **Best for** | All tasks | Most tasks | Complex tasks |
+| **Reasoning** | Advanced | Standard | Advanced |
+| **Multi-domain** | Excellent | Good | Excellent |
 
 ## Pricing by Model
 
-Both models use dynamic, credit-based pricing that scales with task complexity:
+All models use dynamic, credit-based pricing that scales with task complexity:
 
+- **Spark 2**: Uses substantially fewer credits than either Spark 1 model for equivalent tasks
 - **Spark 1 Mini**: Uses approximately 60% fewer credits than Pro for equivalent tasks
 - **Spark 1 Pro**: Standard credit consumption for maximum accuracy
 
@@ -94,6 +111,8 @@ Credit usage varies based on prompt complexity, data processed, and output struc
 
 ## Choosing the Right Model
 
+Spark 2 covers both branches below. The tree applies when you are choosing between the two Spark 1 models:
+
 ```
                     ┌─────────────────────────────────┐
                     │   What type of task?            │

diff --git a/sdks/cli.mdx b/sdks/cli.mdx
@@ -356,7 +356,7 @@ Search and gather data from the web using natural language prompts.
 | Option                      | Description                                                                            |
 | --------------------------- | -------------------------------------------------------------------------------------- |
 | `--urls <urls>`             | Optional list of URLs to focus the agent on (comma-separated)                          |
-| `--model <model>`           | Model to use: `spark-1-mini` (default, 60% cheaper) or `spark-1-pro` (higher accuracy) |
+| `--model <model>`           | Model to use: `spark-2` (default), `spark-1-mini` (60% cheaper than Pro) or `spark-1-pro` (higher accuracy) |
 | `--schema <json>`           | JSON schema for structured output (inline JSON string)                                 |
 | `--schema-file <path>`      | Path to JSON schema file for structured output                                         |
 | `--max-credits <number>`    | Maximum credits to spend (job fails if limit reached)                                  |

diff --git a/snippets/v2/agent/base/curl.mdx b/snippets/v2/agent/base/curl.mdx
@@ -4,7 +4,7 @@ curl -X POST "https://api.firecrawl.dev/v2/agent" \
   -H "Content-Type: application/json" \
   -d '{
     "prompt": "Extract the main features and benefits of Firecrawl",
-    "model": "spark-1-mini"
+    "model": "spark-2"
   }'
 ```
 
diff --git a/snippets/v2/agent/base/js.mdx b/snippets/v2/agent/base/js.mdx
@@ -5,7 +5,7 @@ const firecrawl = new Firecrawl({ apiKey: "fc-YOUR_API_KEY" });
 
 const result = await firecrawl.agent({
   prompt: "Extract the main features and benefits of Firecrawl",
-  model: "spark-1-mini"
+  model: "spark-2"
 });
 
 console.log(result.data);

diff --git a/snippets/v2/agent/base/python.mdx b/snippets/v2/agent/base/python.mdx
@@ -5,7 +5,7 @@ app = Firecrawl(api_key="fc-YOUR_API_KEY")
 
 result = app.agent(
     prompt="Extract the main features and benefits of Firecrawl",
-    model="spark-1-mini"
+    model="spark-2"
 )
 
 print(result.data)

diff --git a/snippets/v2/agent/with-model/curl.mdx b/snippets/v2/agent/with-model/curl.mdx
@@ -1,5 +1,14 @@
 ```bash cURL
-# Using Spark 1 Mini (default)
+# Using Spark 2 (default)
+curl -X POST "https://api.firecrawl.dev/v2/agent" \
+  -H "Authorization: Bearer $FIRECRAWL_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "prompt": "Find the pricing of Firecrawl",
+    "model": "spark-2"
+  }'
+
+# Using Spark 1 Mini
 curl -X POST "https://api.firecrawl.dev/v2/agent" \
   -H "Authorization: Bearer $FIRECRAWL_API_KEY" \
   -H "Content-Type: application/json" \

diff --git a/snippets/v2/agent/with-model/js.mdx b/snippets/v2/agent/with-model/js.mdx
@@ -3,7 +3,13 @@ import { Firecrawl } from 'firecrawl';
 
 const firecrawl = new Firecrawl({ apiKey: "fc-YOUR_API_KEY" });
 
-// Using Spark 1 Mini (default - can be omitted)
+// Using Spark 2 (default - can be omitted)
+const resultSpark2 = await firecrawl.agent({
+  prompt: "Find the pricing of Firecrawl",
+  model: "spark-2"
+});
+
+// Using Spark 1 Mini
 const result = await firecrawl.agent({
   prompt: "Find the pricing of Firecrawl",
   model: "spark-1-mini"

diff --git a/snippets/v2/agent/with-model/python.mdx b/snippets/v2/agent/with-model/python.mdx
@@ -3,7 +3,13 @@ from firecrawl import Firecrawl
 
 app = Firecrawl(api_key="fc-YOUR_API_KEY")
 
-# Using Spark 1 Mini (default - can be omitted)
+# Using Spark 2 (default - can be omitted)
+result = app.agent(
+    prompt="Find the pricing of Firecrawl",
+    model="spark-2"
+)
+
+# Using Spark 1 Mini
 result = app.agent(
     prompt="Find the pricing of Firecrawl",
     model="spark-1-mini"

diff --git a/snippets/v2/cli/agent/options.mdx b/snippets/v2/cli/agent/options.mdx
@@ -1,4 +1,7 @@
 ```bash CLI
+# Use Spark 2 (the default)
+firecrawl agent "Competitive analysis across multiple domains" --model spark-2 --wait
+
 # Use Spark 1 Pro for higher accuracy
 firecrawl agent "Competitive analysis across multiple domains" --model spark-1-pro --wait