# Mistral Large 3

> Mistral's flagship open-weight, Apache-2.0 multimodal MoE — 675B total / 41B active parameters

- Maker: Mistral AI
- Line: Mistral Large
- Canonical page: https://ai-tldr.dev/models/mistral-large-3/
- Updated: 2026-10-06

## In short

Mistral Large 3 is Mistral AI's flagship open-weight model, announced December 2, 2025 as part of the Mistral 3 family. It has a 256K-token context window and costs $0.50 per million input tokens and $1.50 per million output tokens. You can use it through Mistral AI (La Plateforme) and Hugging Face.

## Facts

| Fact | Value | Source |
| --- | --- | --- |
| Context window | 256K | [1] |
| Input price | $0.50 / 1M tokens | [2] |
| Output price | $1.50 / 1M tokens | [2] |
| Licence | Apache-2.0 · open weights | [1] |
| Released | 2 December 2025 | [3] |
| Parameters | 675B total · 41B active | [1] |

## Sources

1. [Mistral Large 3 model card (Hugging Face)](https://huggingface.co/mistralai/Mistral-Large-3-675B-Instruct-2512)
2. [Mistral pricing](https://mistral.ai/pricing)
3. [Introducing Mistral 3 (announcement)](https://mistral.ai/news/mistral-3/)

## Overview

Mistral Large 3 is Mistral AI's flagship open-weight model, announced December 2, 2025 as part of the Mistral 3 family. It is a sparse, granular mixture-of-experts (MoE) model trained from scratch with 675 billion total parameters and 41 billion active parameters per forward pass — Mistral's first MoE release since the Mixtral series.

The architecture pairs a ~673B-parameter granular-MoE language model (39B active) with a 2.5B vision encoder, giving native text and image understanding. It supports a 256K-token context window and many languages, and is designed for production assistants, retrieval-augmented systems, and complex enterprise and agentic workflows. It debuted at #2 in the OSS non-reasoning category (#6 among OSS models overall) on the LMArena leaderboard at launch.

It is released under the permissive Apache 2.0 license and is available open-weight on Hugging Face, plus hosted on Mistral AI Studio and providers such as Amazon Bedrock, Azure Foundry, IBM watsonx, Fireworks, and Together AI.

## Pricing

- Input: $0.50 / 1M tokens
- Output: $1.50 / 1M tokens

Source: https://mistral.ai/pricing

## Strengths

- Permissive Apache-2.0 license — fully open weights for commercial use and self-hosting
- Frontier-class quality at sparse cost: 41B of 675B parameters active per token
- Native multimodality via an integrated 2.5B vision encoder
- Long 256K-token context for long-document and RAG workloads
- Strong multilingual coverage across many languages

## Best for

- Production-grade assistants and chat applications
- Retrieval-augmented generation over long documents
- Agentic and instruction-following enterprise workflows
- Self-hosted deployments needing an Apache-2.0 frontier model

## How to access

- [Mistral AI (La Plateforme)](https://mistral.ai/pricing) — model id `mistral-large-3-675b-instruct-2512`
- [Hugging Face](https://huggingface.co/mistralai/Mistral-Large-3-675B-Instruct-2512) — model id `mistralai/Mistral-Large-3-675B-Instruct-2512`

## Mistral Large versions

- [Mistral Large 4](https://ai-tldr.dev/models/mistral-large-4/) (6 October 2026)
- Mistral Large 3 (2 December 2025) — this page
- [Mistral Large 2.1 (24.11)](https://ai-tldr.dev/models/mistral-large-2-1/) (18 November 2024)
- [Mistral Large 2 (24.07)](https://ai-tldr.dev/models/mistral-large-2/) (24 July 2024)
- [Mistral Large (24.02)](https://ai-tldr.dev/models/mistral-large-1/) (26 February 2024)

## FAQ

### Is Mistral Large 3 open-weight?

Yes. Mistral Large 3 is released under the permissive Apache 2.0 license, with weights available on Hugging Face (mistralai/Mistral-Large-3-675B-Instruct-2512). Unlike Meta's Llama community license, Apache 2.0 is a standard open-source license, so the weights can be used, modified, and deployed commercially with minimal restrictions, including full self-hosting.

### How big is Mistral Large 3?

Mistral Large 3 is a sparse mixture-of-experts model with 675 billion total parameters and 41 billion active parameters per forward pass. The architecture combines a roughly 673B-parameter granular-MoE language model (39B active) with a 2.5B vision encoder for native image understanding. It supports a 256K-token context window.

### How much does Mistral Large 3 cost to use via API?

On Mistral's official platform, Mistral Large 3 is priced at $0.50 per million input tokens and $1.50 per million output tokens, per the mistral.ai pricing page. Because it is Apache-2.0 open-weight, you can also self-host the model or run it through third-party providers such as Amazon Bedrock, Azure Foundry, Fireworks, and Together AI.

## Links

- [Mistral models (official)](https://mistral.ai/models)
- [Introducing Mistral 3 (announcement)](https://mistral.ai/news/mistral-3/)
- [Mistral Large 3 model card (Hugging Face)](https://huggingface.co/mistralai/Mistral-Large-3-675B-Instruct-2512)
- [Mistral pricing](https://mistral.ai/pricing)
- [Mistral Large 3 on NVIDIA build](https://build.nvidia.com/mistralai/mistral-large-3-675b-instruct-2512/modelcard)

Source: AI/TLDR LLM registry, https://ai-tldr.dev/models/mistral-large-3/