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3 changes: 2 additions & 1 deletion snapshots/anthropic/deprecations.md
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Expand Up @@ -65,13 +65,14 @@ At some point, Anthropic hopes to make past models publicly available again. In
## Model status

<Note>
[Claude Mythos Preview](https://anthropic.com/glasswing) (`claude-mythos-preview`) is deprecated. To migrate to [Claude Mythos 5](https://anthropic.com/glasswing) (`claude-mythos-5`), see the [migration guide](https://platform.claude.com/docs/en/about-claude/models/migration-guide#migrating-from-claude-mythos-preview).
[Claude Mythos Preview](https://anthropic.com/glasswing) (`claude-mythos-preview`) is deprecated. To migrate to [Claude Mythos 5](https://anthropic.com/glasswing) (`claude-mythos-5`), see the [migration guide](https://platform.claude.com/docs/en/models/fable-5/migration-guide#migrating-from-claude-mythos-preview).
</Note>

Current and recently retired models are listed in the following table with their status:

| API model name | Current state | Deprecated | Tentative retirement date |
| -------------------------- | ------------- | ----------------- | ---------------------------------- |
| claude-fable-5-1 | Active | N/A | Not sooner than September 1, 2027 |
| claude-fable-5 | Active | N/A | Not sooner than June 9, 2027 |
| claude-opus-5 | Active | N/A | Not sooner than July 24, 2027 |
| claude-opus-4-8 | Active | N/A | Not sooner than May 28, 2027 |
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8 changes: 8 additions & 0 deletions snapshots/cerebras/deprecations.md
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Expand Up @@ -6,6 +6,14 @@

> A list of all deprecations, with the most recent announcements appearing first.

<Update label="2026-09-03">
**Gemma 4 31B availability changes on public endpoints**

Starting September 3, 2026, `gemma-4-31b` is no longer available on Cerebras public endpoints. This change doesn't affect [Dedicated Endpoints](/dedicated/overview), where Gemma 4 31B remains available.

Use [`qwen-3.8-27b`](/models/qwen-3.8-27b) for public endpoint workloads. To continue using Gemma 4 31B, [contact us](https://www.cerebras.ai/contact) to set up a dedicated endpoint.
</Update>

<Update label="2026-08-17">
**Deprecated `zai-glm-4.7`**
</Update>
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45 changes: 32 additions & 13 deletions snapshots/cohere/models.md
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Expand Up @@ -34,8 +34,9 @@ are.
[retrieval augmented generation](retrieval-augmented-generation-rag) (RAG), translation, copywriting, and
similar use cases. They work through the [Chat](../reference/chat) endpoint, which can be used with or without
RAG.
* [Rerank](https://cohere.com/blog/rerank/?_gl=1*1t6ls4x*_ga*MTAxNTg1NTM1MS4xNjk1MjMwODQw*_ga_CRGS116RZS*MTcxNzYwMzYxMy4zNTEuMS4xNzE3NjAzNjUxLjIyLjAuMA..) is the fastest way to inject the intelligence of a language model into an existing search system. It can be accessed via the [Rerank](../reference/rerank-1) endpoint.
* [Embed](https://cohere.com/models/embed?_gl=1*1t6ls4x*_ga*MTAxNTg1NTM1MS4xNjk1MjMwODQw*_ga_CRGS116RZS*MTcxNzYwMzYxMy4zNTEuMS4xNzE3NjAzNjUxLjIyLjAuMA..) improves the accuracy of search, classification, clustering, and RAG results. It powers the [Embed](../reference/embed) endpoint.
* [Rerank](../../docs/rerank) is the fastest way to inject the intelligence of a language model into an existing search system. It can be accessed via the [Rerank](../reference/rerank-1) endpoint.
* [Embed](../../docs/cohere-embed) improves the accuracy of search, classification, clustering, and RAG results. It powers the [Embed](../reference/embed) endpoint.
* [Parse](../../docs/parse) extracts structured, machine-readable data from unstructured enterprise documents, like forms and PDFs. It powers the [Parse](../../v2/reference/parse) endpoint.
* [Cohere Transcribe](../../v2/docs/transcribe) is Cohere's dedicated audio transcription model for automatic speech
recognition (ASR). It powers the [Audio Transcriptions](../../v2/reference/create-audio-transcription) endpoint.
[Cohere Transcribe Arabic](../../v2/docs/transcribe-arabic) is a version of the model optimized for Arabic-language
Expand Down Expand Up @@ -88,13 +89,13 @@ In this table, we provide some important context for using Cohere Command models

These models can be used to generate embeddings from text or classify it based on various parameters. Embeddings can be used for estimating semantic similarity between two sentences, choosing a sentence which is most likely to follow another sentence, or categorizing user feedback. The Representation model comes with a variety of helper functions, such as for detecting the language of an input.

| Model Name | Description | Modalities | Dimensions | Context Length | Similarity Metric | Endpoints |
| ------------------------------- | ------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------- | ------------------------------------------ | -------------- | ------------------------------------------------------------- | ------------------------------------------------------------------------- |
| `embed-v4.0` | A model that allows for text and images to be classified or turned into embeddings | Text, Images, Mixed texts/images (i.e. PDFs) | One of '\[256, 512, 1024, 1536 (default)]' | 128k | Cosine Similarity, Dot Product Similarity, Euclidean Distance | [Embed](../reference/embed), <br />[Embed Jobs](../reference/embed-jobs) |
| `embed-english-v3.0` | A model that allows for text to be classified or turned into embeddings. English only. | Text, Images | 1024 | 512 | Cosine Similarity | [Embed](../reference/embed), <br />[Embed Jobs](../reference/embed-jobs) |
| `embed-english-light-v3.0` | A smaller, faster version of `embed-english-v3.0`. Almost as capable, but a lot faster. English only. | Text, Images | 384 | 512 | Cosine Similarity | [Embed](../reference/embed), <br />[Embed Jobs](../reference/embed-jobs) |
| `embed-multilingual-v3.0` | Provides multilingual classification and embedding support. [See supported languages here.](/docs/supported-languages) | Text, Images | 1024 | 512 | Cosine Similarity | [Embed](../reference/embed), [Embed Jobs](../reference/embed-jobs) |
| `embed-multilingual-light-v3.0` | A smaller, faster version of `embed-multilingual-v3.0`. Almost as capable, but a lot faster. Supports multiple languages. | Text, Images | 384 | 512 | Cosine Similarity | [Embed](../reference/embed), <br />[Embed Jobs](../reference/embed-jobs) |
| Model Name | Description | Modalities | Dimensions | Context Length | Similarity Metric | Endpoints |
| ------------------------------- | ------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------- | ------------------------------------------ | -------------- | ------------------------------------------------------------- | ------------------------------------------------------------------- |
| `embed-v4.0` | A model that allows for text and images to be classified or turned into embeddings | Text, Images, Mixed texts/images (i.e. PDFs) | One of '\[256, 512, 1024, 1536 (default)]' | 128k | Cosine Similarity, Dot Product Similarity, Euclidean Distance | [Embed](../reference/embed), [Embed Jobs](../reference/embed-jobs) |
| `embed-english-v3.0` | A model that allows for text to be classified or turned into embeddings. English only. | Text, Images | 1024 | 512 | Cosine Similarity | [Embed](../reference/embed), [Embed Jobs](../reference/embed-jobs) |
| `embed-english-light-v3.0` | A smaller, faster version of `embed-english-v3.0`. Almost as capable, but a lot faster. English only. | Text, Images | 384 | 512 | Cosine Similarity | [Embed](../reference/embed), [Embed Jobs](../reference/embed-jobs) |
| `embed-multilingual-v3.0` | Provides multilingual classification and embedding support. [See supported languages here.](/docs/supported-languages) | Text, Images | 1024 | 512 | Cosine Similarity | [Embed](../reference/embed), [Embed Jobs](../reference/embed-jobs) |
| `embed-multilingual-light-v3.0` | A smaller, faster version of `embed-multilingual-v3.0`. Almost as capable, but a lot faster. Supports multiple languages. | Text, Images | 384 | 512 | Cosine Similarity | [Embed](../reference/embed), [Embed Jobs](../reference/embed-jobs) |

### Using Embed Models on Different Platforms

Expand Down Expand Up @@ -135,17 +136,35 @@ In this table, we provide some important context for using Cohere Rerank models
| `rerank-english-v3.0` | N/A | Unique per deployment | `Cohere-rerank-v3-english` | N/A |
| `rerank-multilingual-v3.0` | N/A | Unique per deployment | `Cohere-rerank-v3-multilingual` | N/A |

<br />
\


Rerank accepts full strings rather than tokens, so the token limit works a little differently. Rerank will automatically chunk documents longer than 510 tokens, and there is therefore no explicit limit to how long a document can be when using rerank. See our [best practice guide](/docs/reranking-best-practices) for more info about formatting documents for the Rerank endpoint.

## Parse

Parse is our vision parsing model for extracting structured data from enterprise documents that can be used in AI search and agentic applications.

| Model Name | Status | Description | Endpoints |
| ------------ | ------ | ----------------------------------------------------------------------------- | --------------------------------- |
| `parse-v5.0` | Live | For document intelligence workloads that demand accurate, high-volume parsing | [Parse](../../v2/reference/parse) |

### Using Parse Models on Different Platforms

In this table, we provide some important context for using Cohere Parse on Amazon SageMaker and Azure Foundry.

| Model Name | Amazon SageMaker | Azure AI Foundry |
| :----------- | :-------------------- | :------------------ |
| `parse-v5.0` | Unique per deployment | `cohere-parse-v5.0` |

## Audio

Cohere Transcribe is our dedicated model for audio-in, text-out automatic speech recognition (ASR) workloads. For Arabic-language transcription, use Cohere Transcribe Arabic for best-in-class performance.

| Model Name | Status | Description | Maximum file size | Endpoints |
| --------------------------- | ------ | ----------------------------------------------------------------------------------------- | ----------------- | --------------------------------------------------------------------- |
| `cohere-transcribe-03-2026` | Live | Open source research release focused on high-accuracy, multilingual speech transcription. | 25MB | [Audio Transcriptions](../../v2/reference/create-audio-transcription) |
| Model Name | Status | Description | Maximum file size | Endpoints |
| ---------------------------------- | ------ | ------------------------------------------------------------------------------ | ----------------- | --------------------------------------------------------------------- |
| `cohere-transcribe-03-2026` | Live | Open source model focused on high-accuracy, multilingual speech transcription. | 25MB | [Audio Transcriptions](../../v2/reference/create-audio-transcription) |
| `cohere-transcribe-arabic-07-2026` | Live | Finetune optimized for Arabic audio inputs | 25MB | [Audio Transcriptions](../../v2/reference/create-audio-transcription) |

### Using Audio Models on Different Platforms

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