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Mistral Large 2407

by Mistral AI · Released Nov 2024

Open Source
35.1
avg score
Rank #226
Compare
Better than 28% of all models
Context
131K tokens (~66 books)
Input $/1M
$2.00
Output $/1M
$6.00
Type
text
License
Open Source
Benchmarks
7 tested
Data as of
About

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement here....

Tested on 7 benchmarks · BenchGecko score 35.1. Top scores: Chatbot Arena Elo — Overall (1314.4%), MMLU (73.3%), Lech Mazur Writing (69.0%).

Looking for similar performance at lower cost?
Gemma 3 27B (free) scores 35.1 (100% as good) at $0.00/1M input · 100% cheaper
Capabilities
reasoning
7.0
#197 globally
math
26.6
#205 globally
knowledge
58.1
#71 globally
Benchmark Scores
Compare All
Tested on 7 benchmarks · Ranked across 4 categories
Score Distribution (all 312 models)
0255075100
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SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

7.0·
MATH level 5

Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.

44.8·
OTIS Mock AIME 2024-2025

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

8.4·
MMLU

Massive Multitask Language Understanding. 57 subjects from STEM, humanities, and social sciences. The most widely-cited knowledge benchmark.

73.3·
Lech Mazur Writing

Writing quality evaluation by Lech Mazur. Tests prose quality, coherence, and stylistic ability.

69.0·
GPQA diamond

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

32.0·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
mistral-large-2407
Specifications
  • Typetext
  • Context131K tokens (~66 books)
  • ReleasedNov 2024
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.010
Available On
Mistral AI logoMistral AI$2.00
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Mistral Large 2407 is an open-source text AI model by Mistral AI, released in November 2024. It has an average benchmark score of 35.1. Context window: 131K tokens.

Key facts · as of 2026-10-05

  • Mistral Large 2407 by Mistral AI. BenchGecko score 35.1, rank 225 of 312 scored models (normalized average of public benchmark scores).
  • List price $2.00 input · $6.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 3 providers (as of 2026-10-05): Mistral $2.00 in / $6.00 out · Mistral $2.00 in / $6.00 out · Mistral $2.20 in / $6.60 out. Every provider

How to cite · data as of 2026-10-05

Mistral Large 2407 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/mistral-large-2407

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