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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 mistral-large-2411

Mistral Large 2.1 (Mistral)

Retired

Yes — Mistral Large 2.1 is retired. Mistral deprecated it on February 27, 2026 and shut it down on May 31, 2026; API requests to it now fail. The recommended replacement is Mistral Medium 3.5.

For most of 2025 this was what mistral-large-latest resolved to, which means a lot of code that never named a version was running it. Mistral did not route it to Large 3 when it retired it - it pointed at Medium 3.5, which is the clearest statement that the Large tier stopped being the top of the range.

The facts

Provider Mistral
Model id mistral-large-2411
Released —
Deprecated February 27, 2026
Shutdown May 31, 2026 · 64 days ago
Status Retired
Last verified August 3, 2026

What to use instead

Mistral Medium 3.5 mistral-medium-3-5-26-04 Provider-recommended Active

Mistral names Medium 3.5, not Large 3, as the successor. If you want to stay in the Large tier for licensing reasons, mistral-large-3-25-12 exists and is Apache 2.0, but it is not the model Mistral points you at.

What parameters mistral-medium-3-5-26-04 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": "mistral-large-2411"
+ "model": "mistral-medium-3-5-26-04"

Frequently asked questions

When did Mistral Large 2.1 shut down?
Mistral Large 2.1 shut down on May 31, 2026. API requests to it fail from that date onward.
What replaces Mistral Large 2.1?
Mistral recommends Mistral Medium 3.5 (`mistral-medium-3-5-26-04`) as the replacement for Mistral Large 2.1. Mistral names Medium 3.5, not Large 3, as the successor. If you want to stay in the Large tier for licensing reasons, mistral-large-3-25-12 exists and is Apache 2.0, but it is not the model Mistral points you at.
Is Mistral Large 2.1 still available?
No. Mistral Large 2.1 is retired and no longer served — it was shut down on May 31, 2026. Calls to it return an error.
How do I migrate from Mistral Large 2.1 to mistral-medium-3-5-26-04?
Swap the model id in your API call: replace "mistral-large-2411" with "mistral-medium-3-5-26-04". Mistral names Medium 3.5, not Large 3, as the successor. If you want to stay in the Large tier for licensing reasons, mistral-large-3-25-12 exists and is Apache 2.0, but it is not the model Mistral points you at.

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:

[![mistral-large-2411](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/mistral/mistral-large-2411.json)](https://modeldeprecations.dev/mistral/mistral-large-2411)

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.