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Mistral Large 4

by Mistral AI · Released Oct 2026

Multimodal1M Context
39.3
avg score
Rank #214
Compare
Better than 35% of all models
Context
1.0M tokens (~524 books)
Input $/1M
$0.70
Output $/1M
$2.10
Type
multimodal
License
Proprietary
Benchmarks
24 tested
Data as of
About

Mistral Large 4 (Le Chonk) is Mistral AI's open weight multimodal Mixture of Experts model · about 1T total and 52B active parameters, 128 routed experts with 4 active per token · text and image input, text output · 1M token context · three reasoning modes (low, medium, high) · weights released 2026-10-29 on Hugging Face as mistralai/Mistral-Large-4-1T-A52B under the Mistral Ecosystem Open-Weight License, a modified MIT license that requires a commercial license for Model-as-a-Service use.

Tested on 24 benchmarks · BenchGecko score 39.3. Top scores: OTIS Mock AIME 2024-2025 (99.4%), GPQA diamond (90.5%), Artificial Analysis · Long Context Reasoning (81.3%).

Looking for similar performance at lower cost?
ERNIE 4.5 21B A3B Thinking scores 39.8 (101% as good) at $0.07/1M input · 90% cheaper
Capabilities
coding
33.6
#169 globally
math
62.6
#88 globally
knowledge
37.9
#228 globally
agentic
51.6
#29 globally
general
27.4
#154 globally
speed
48.9
#37 globally
Benchmark Scores
Compare All
Tested on 24 benchmarks · Ranked across 6 categories
Score Distribution (all 327 models)
0255075100
▲ You are here
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

99.4·
GPQA diamond

Graduate-level science questions written by PhD experts. Diamond subset contains questions where experts disagree, testing deep understanding.

90.5·
Chess Puzzles

Tactical chess puzzles testing pattern recognition and multi-move calculation. Measures strategic reasoning ability.

25.3·
SimpleQA Verified

Simple factual questions with verified correct answers. Tests accuracy of basic knowledge retrieval. Low scores indicate hallucination.

22.4·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Recently Happened
Mistral Large 4 pricing dropped 50%
Oct 30, 2026
Mistral Large 4 pricing increased 100%
Oct 21, 2026
New model: Mistral Large 4 by Mistral AI
Oct 8, 2026
Links
Documentation
Community
BenchGecko API
mistral-large-4-0
Specifications
  • Typemultimodal
  • Context1.0M tokens (~524 books)
  • ReleasedOct 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.004
Available On
Mistral AI logoMistral AI$0.70
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Mistral Large 4 is a proprietary multimodal AI model by Mistral AI, released in October 2026. It has an average benchmark score of 39.3. Context window: 1M tokens.

Key facts · as of 2026-11-12

  • Mistral Large 4 by Mistral AI. BenchGecko score 39.3, rank 214 of 327 scored models (normalized average of public benchmark scores).
  • List price $0.70 input · $2.10 output per 1M tokens (as of 2026-11-12).
  • Sold by 2 providers (as of 2026-11-12): Mistral $0.70 in / $2.10 out · Mistral $0.77 in / $2.31 out. Every provider
  • Gecko Tests · Gecko Score 54 (rank 25): Who Are You B (Knows who made it) · Censorship Index A (Answers almost everything) · Knowledge Horizon E (Knows news up to Apr 2025).

How to cite · data as of 2026-11-12

Mistral Large 4 · benchmarks, pricing and providers. BenchGecko, data as of 2026-11-12. https://benchgecko.ai/model/mistral-large-4-0

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP