# Mistral Large 4

[Canonical model page](https://headlessthrones.com/models/mistral-ai-mistral-large-4-0) · [Model library](https://headlessthrones.com/models)

Public catalog reference from Headless Thrones. Exact catalog ID: `mistral-ai-mistral-large-4-0`. Catalog source-check date: 2026-10-23.

This brief contains the public catalog answers and any catalog guide, not private drafts, historical editorial revisions or independently measured rankings. The canonical HTML page may also display separately published editorial.

Current catalog answers

## What to know about Mistral Large 4

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

[Exact model](https://headlessthrones.com/models/mistral-ai-mistral-large-4-0#model-answer-identity) · [Access](https://headlessthrones.com/models/mistral-ai-mistral-large-4-0#model-answer-access) · [Token limits](https://headlessthrones.com/models/mistral-ai-mistral-large-4-0#model-answer-context) · [Dates &amp; knowledge](https://headlessthrones.com/models/mistral-ai-mistral-large-4-0#model-answer-dates) · [Inputs &amp; outputs](https://headlessthrones.com/models/mistral-ai-mistral-large-4-0#model-answer-modalities)

### Which Mistral Large 4 does this page describe?

Mistral Large 4 is a model record from **Mistral AI** in the Mistral family. [Source](https://docs.mistral.ai/models/mistral-large-4-0)

The recorded model identifier or checkpoint is `26.10`. Use that exact identifier when checking documentation or a provider listing. [Source](https://docs.mistral.ai/models/mistral-large-4-0)

### How can you access Mistral Large 4?

The catalog documents **API and Open weights** access  for Mistral Large 4. [Source](https://docs.mistral.ai/models/mistral-large-4-0)

As of the catalog check, this version was listed as a preview. [Source](https://docs.mistral.ai/models/mistral-large-4-0)

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement. This record documents API access separately.

### What are Mistral Large 4's context and output limits?

The documented **context window is 1,000,000 tokens**. [Source](https://docs.mistral.ai/models/mistral-large-4-0)

A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.

Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.

### What dates are documented for Mistral Large 4?

**Release date: October 6, 2026.** [Source](https://docs.mistral.ai/models/mistral-large-4-0) This is a release milestone, not a knowledge or training cutoff. The source labels this “Release date on Mistral model specification.”

Neither a knowledge cutoff nor a training-data cutoff is established here. A release date, repository upload or filename cannot supply those missing dates.

### What can Mistral Large 4 receive and generate?

Documented inputs: **text and image**. [Source](https://docs.mistral.ai/models/mistral-large-4-0)

Documented outputs: **text**. [Source](https://docs.mistral.ai/models/mistral-large-4-0)

Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.

**Catalog qualifications:** Mistral context shorthand 1M is represented in nominal decimal tokens.

**Evidence still missing here:** complete input/output pricing, knowledge and training-data cutoffs, and tested hardware requirements. Missing documentation is not evidence that a feature is unavailable.

Headless Thrones has not independently benchmarked this model for this reference. Evaluate it on representative work before choosing it; these facts do not rank its accuracy, reliability, speed or suitability against another model.

Keep the exact version in view

## Other Mistral models from Mistral AI.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

### [Mistral-Medium-3.5-128B](https://headlessthrones.com/models/mistral-ai-mistral-medium-3-5-128b)

API · Open weights · 256,000 context tokens

### [Mistral-Small-4-119B-2603](https://headlessthrones.com/models/mistral-ai-mistral-small-4-119b-2603)

API · Open weights · 256,000 context tokens

### [Mistral-Large-3-675B-Instruct-2512](https://headlessthrones.com/models/mistral-ai-mistral-large-3-675b-instruct-2512)

API · Open weights · 256,000 context tokens

### [Mistral Small Creative](https://headlessthrones.com/models/mistral-ai-mistral-small-creative-25-12)

API · 32,000 context tokens

### [Mistral Medium 3.1](https://headlessthrones.com/models/mistral-ai-mistral-medium-3-1-25-08)

API · 128,000 context tokens

### [Mistral-Small-3.2-24B-Instruct-2506](https://headlessthrones.com/models/mistral-ai-mistral-small-3-2-24b-instruct-2506)

API · Open weights · 128,000 context tokens
