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Amazon Anthropic Cohere DeepSeek Google MiniMax Mistral Moonshot AI OpenAI Qwen xAI Xiaomi MiMo Z.ai

Providers

Amazon 8 Anthropic 31 Cohere 35 DeepSeek 5 Google 34 MiniMax 17 Mistral 53 Moonshot AI 18 OpenAI 106 Qwen 26 xAI 26 Xiaomi MiMo 4 Z.ai 22
Mistral open-codestral-mamba

Codestral Mamba 7B (Mistral)

Retired

Yes — Codestral Mamba 7B is retired. Mistral deprecated it on June 6, 2025 and shut it down on June 6, 2025; API requests to it now fail. The recommended replacement is Codestral 25.08.

A 7B code model built on the Mamba2 state-space architecture instead of a transformer, promising linear-time inference over long contexts. It is the only non-transformer Mistral ever served, and the only entry in the table whose deprecation and retirement fall on the same day - 6 June 2025, no notice period at all.

The facts

Provider Mistral
Model id open-codestral-mamba
Released —
Deprecated June 6, 2025
Shutdown June 6, 2025 · 423 days ago
Status Retired
Last verified August 3, 2026

What to use instead

Mistral Codestral 25.08 codestral-25-08 Provider-recommended Active

Codestral 25.08 is a standard transformer. The linear-time long-context behaviour that was the whole point of the Mamba variant does not carry over.

What parameters codestral-25-08 accepts on modelparams.dev

Change the id

In most cases the migration is one string. Check the parameter differences before you ship — newer models drop older sampling knobs more often than they add them. 

- "model": "open-codestral-mamba"
+ "model": "codestral-25-08"

Frequently asked questions

When did Mistral Codestral Mamba 7B shut down?
Mistral Codestral Mamba 7B shut down on June 6, 2025. API requests to it fail from that date onward.
What replaces Mistral Codestral Mamba 7B?
Mistral recommends Codestral 25.08 (`codestral-25-08`) as the replacement for Mistral Codestral Mamba 7B. Codestral 25.08 is a standard transformer. The linear-time long-context behaviour that was the whole point of the Mamba variant does not carry over.
Is Mistral Codestral Mamba 7B still available?
No. Mistral Codestral Mamba 7B is retired and no longer served — it was shut down on June 6, 2025. Calls to it return an error.
How do I migrate from Mistral Codestral Mamba 7B to codestral-25-08?
Swap the model id in your API call: replace "open-codestral-mamba" with "codestral-25-08". Codestral 25.08 is a standard transformer. The linear-time long-context behaviour that was the whole point of the Mamba variant does not carry over.

Sources

Found something wrong? The data is one YAML file — edit it on GitHub.

This page, for machines

JSON Markdown Badge JSON

Drop the badge in a README so it turns red the day this model is retired:

[![open-codestral-mamba](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/mistral/open-codestral-mamba.json)](https://modeldeprecations.dev/mistral/open-codestral-mamba)

Other Mistral models

All Mistral deprecations →

How to use this site

The full guide, in Markdown. Copy it and hand it to a coding agent verbatim.

# How to use modeldeprecations.dev

[modeldeprecations.dev](https://modeldeprecations.dev) answers one question per model: is it deprecated,
when does it shut down, and what replaces it. Every date on the site is cited to the
provider's own documentation, with the date we last checked it.

Three lifecycle states are used, matching the providers' own vocabulary:

- **active** — still supported, no deprecation announced.
- **deprecated** — the provider has announced it is going away. It still answers requests.
- **retired** — API access is gone. Requests fail.

A model can be active *and* carry a shutdown date: Anthropic publishes a
"not sooner than" date and Google publishes an earliest shutdown date for models
that are current and fully supported. Those are reported as scheduled shutdowns,
not deprecations, because that is what the provider actually committed to.

## Check one model

```bash
curl https://modeldeprecations.dev/api/v1/models/openai/gpt-4-32k.json
```

Or fetch the page as Markdown, which includes the answer, the dates and the sources:

```bash
curl https://modeldeprecations.dev/openai/gpt-4-32k.md
```

## Full catalog

```bash
curl https://modeldeprecations.dev/api/v1/models.json
```

Ids are `provider/model`. Dated snapshots (`gpt-4-32k-0613`) are listed as aliases of
their canonical entry rather than as separate records.

Each entry carries `computed_status`, the lifecycle state recomputed against the build
date — so a model whose shutdown has passed reads `retired` without anyone editing data.

## Badges

A shields.io endpoint per model, for READMEs that should go red when a model dies:

```
https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/openai/gpt-4-32k.json
```

## Calendar and changelog

- Subscribe to every shutdown date: https://modeldeprecations.dev/calendar.ics
- Changelog RSS: https://modeldeprecations.dev/changelog.xml

## JSON Schema

```bash
curl https://modeldeprecations.dev/api/v1/schema.json
```

## Contribute

Data lives in YAML under `models/{provider}/{model}.yaml` in the
[GitHub repo](https://github.com/mnfst/modeldeprecations.dev). Every lifecycle date needs a source URL; CI rejects a
date without one. Open a PR.

## For agents

- Machine-readable overview: https://modeldeprecations.dev/llms.txt
- This guide plus every model inline: https://modeldeprecations.dev/llms-full.txt
- Any page also exists as Markdown: append `.md` to a model URL.
- In a browser, this site registers a **WebMCP** tool on `navigator.modelContext`:
  `check_model_deprecation`, `list_shutdowns`, `find_replacement`, and `get_usage_guide`.
- Parameters each model accepts are catalogued on the sibling site, https://modelparams.dev.