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Mistral AI · AI model

Mistral Large 3

Multimodal MoE model with 675B total and 41B active parameters, released Dec 2, 2025 under Apache 2.0. Text and image input, 256k-token context, text output without a reasoning mode. Alias mistral-large-latest; $0.50/$1.50 per 1M tokens.

Last verified Available 9 sources

Key specs

Provider
Mistral AI
Family
Mistral Large
API identifier
mistral-large-2512
Availability
Available
Release date
2025-12-02
License
Open source (Apache 2.0)
Context window
256,000 tokens
Max output
256,000 tokens
Knowledge cutoff
July 2025
API access
Yes
Consumer app
Unknown

Capabilities

Inputs

  • Text input Yes
  • Image input Yes Up to 8 images per the technical documentation
  • Audio input No Technical documentation marks audio input as not supported (N/A)
  • Video input No Technical documentation marks video input as not supported (N/A)
  • File input Yes PDF documents via Document QnA (OCR + model) in Chat Completions/Conversations; Document QnA is listed on the model page; uploaded files max 50 MB and 1,000 pages

Outputs

  • Text output Yes
  • Image output No Only text output listed; image generation exists separately as a built-in agent tool
  • Audio output No Only text output listed

Features

  • Reasoning None Model page lists text output only (no reasoning output); not among the models listed on the reasoning docs page
  • Tool calling Yes Function Calling listed for /v1/chat/completions and /v1/conversations
  • Web search Yes Built-in web_search / web_search_premium tools via the Conversations and Agents APIs (not Chat Completions); model page lists Built-In Tools

"Unknown" means we have not verified this capability yet; it does not mean the model lacks it.

Pricing

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DimensionTierPriceSinceVerifiedSource
Input tokens base $0.50 per 1M tokens 2026-10-12 2026-10-25 API pricing | Mistral Docs Standard mode list price (Priority mode +75% and regional inference +10% not included)
Cached input tokens base $0.05 per 1M tokens 2026-10-12 2026-10-25 API pricing | Mistral Docs Cached input price listed on the docs pricing page (10% of the input price)
Output tokens base $1.50 per 1M tokens 2026-10-12 2026-10-25 API pricing | Mistral Docs Standard mode list price
Batch input tokens base $0.25 per 1M tokens 2026-10-12 2026-10-25 API pricing | Mistral Docs Batch API: 50% of standard price (docs pricing page Batch mode, factor 0.5: 'Batching ... at a 50% discount'; also stated on mistral.ai/pricing); computed from the standard list price
Batch output tokens base $0.75 per 1M tokens 2026-10-12 2026-10-25 API pricing | Mistral Docs Batch API: 50% of standard price (docs pricing page Batch mode, factor 0.5); computed from the standard list price

Prices are shown in the currency the provider publishes; we never convert currencies.

Benchmarks

BenchmarkSettingScoreReported byMeasuredVerifiedSource
GDPval-AA v2.1 Elo, higher is better v2.1; no effort label; Stirrup harness (shell + web browsing) 420 Elo Third party 2026-10-25 2026-10-25 GDPval-AA v2.1 Leaderboard (Artificial Analysis)
Text Arena Arena score, higher is better LMArena text leaderboard, view and style control not stated; non-reasoning model 1,418 Self-reported 2025-12-02 2026-10-25 Introducing Mistral 3 | Mistral AI
Overall, style control (default view); no effort suffix 1,414 Third party 2026-10-23 2026-10-25 Text Arena leaderboard (Arena)
GDPval-AA v2.1 caveats:

Elo is a relative rating: values change as models are added and the scale is re-anchored, so always store the date a rating was read. For example, Anthropic's launch page gives 1846 for Claude Opus 5.5, while the leaderboard on 2026-10-12 shows 1866 (Max, Default Fallback). Earlier versions (Google cites "GDPVal-AA v2") are not comparable. Judging is done by an LLM, not by human experts. Anthropic models are listed with "Default Fallback", meaning refused steps are routed to a fallback model. AA-Briefcase and GDP.pdf are separate evaluations.

Text Arena caveats:

Scores measure voter preference, which can be influenced by answer style and length. The leaderboard offers a style-control adjustment, so record which view was used. Scores shift with every update, so a value is only meaningful together with its leaderboard date. Entries marked "Preliminary" or with few votes have wide confidence intervals. The same model can appear several times with different reasoning-effort suffixes (for example -high or -max). Category views (Coding, Math, Creative Writing and others) are different rankings from Overall.

One row per result, without rank numbers: each result was measured under its own setting (effort level, harness, tools, test version), as stated by the source, and scores compare only within the same setting. Self-reported results come from the provider and have not been reproduced independently.

Rankings

Derived from our published ranking snapshots; each ranking explains its criteria and weights.

Compare Mistral Large 3

Guides

About Mistral Large 3

Mistral Large 3 is a general-purpose multimodal Mixture-of-Experts model with 675B total and 41B active parameters. It accepts text and image input (up to 8 images) and has a 256k-token context window. Base and instruct weights are released under the Apache 2.0 license. In the API it is available as mistral-large-2512 and via the alias mistral-large-latest.

Strengths and weaknesses

Strengths

  • Apache 2.0 open weights (base and instruct)
  • Text and image input with a 256k-token context window
  • Supports structured outputs, function calling, batch processing and built-in tools
  • List price of $0.50 input / $1.50 output per 1M tokens

Weaknesses

  • No reasoning mode in the API (text output only; not listed on the reasoning docs page)
  • 256k-token context window, smaller than Mistral Large 4 (1M)
  • No audio or video input

Sources

  1. Mistral Large 3 - Mistral AI | Mistral Docs
  2. Mistral Large 3 - Technical Documentation for Downstream Providers
  3. Mistral Large 3 - Public Summary of Training Content
  4. Document QnA | Mistral Docs
  5. Websearch | Mistral Docs
  6. API pricing | Mistral Docs
  7. GDPval-AA v2.1 Leaderboard (Artificial Analysis)
  8. Text Arena leaderboard (Arena)
  9. Introducing Mistral 3 | Mistral AI

Last verified Page updated 2026-10-26