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Mistral Large 2

MistralEstablishedReleased Jul 24, 2024
Overall Score
Est. 38Prov. #83 of 119
Arena Elo
1305
Categories Ranked
8of 8
Price (1M tokens)
$ in / $ out
Speed
38tok/s
Context
128K
ProprietaryNon-Reasoning
Confidence
base

According to BenchLM.ai, Mistral Large 2 ranks #83 out of 119 models on the provisional leaderboard with an overall score of 38/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Mistral Large 2 is a proprietary model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 16 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Multilingual (#53), while its weakest is Instruction Following (#79). This performance profile makes it a well-rounded choice across a range of tasks.

Ranking Distribution

Category rank across 8 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

#70
33.0/ 100
Weight: 22%4 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#67
32.9/ 100
Weight: 20%3 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#58
44.5/ 100
Weight: 17%2 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#62
47.8/ 100
Weight: 12%6 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#53
47.9/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#53
60.6/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#74
40.7/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

#79
50.6/ 100
Weight: 5%1 benchmark
IFEvalIFBench

Chatbot Arena Performance

Text Overall1305CI: ±4.428,073 votes
Coding1346CI: ±8.94,212 votes
Math1282CI: ±9.33,574 votes
Instruction Following1294CI: ±6.010,971 votes
Creative Writing1276CI: ±9.04,439 votes
Multi-turn1293CI: ±8.94,438 votes
Hard Prompts1313CI: ±7.06,954 votes
Hard Prompts (English)1324CI: ±8.64,452 votes
Longer Query1304CI: ±9.63,607 votes

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Frequently Asked Questions

How does Mistral Large 2 perform overall in AI benchmarks?

Mistral Large 2 currently ranks #83 out of 119 models on BenchLM's provisional leaderboard with an overall score of 38 (estimated). It is created by Mistral and features a 128K context window.

Is Mistral Large 2 good for knowledge and understanding?

Mistral Large 2 ranks #62 out of 119 models in knowledge and understanding benchmarks with an average score of 47.8. There are stronger options in this category.

Is Mistral Large 2 good for coding and programming?

Mistral Large 2 ranks #67 out of 119 models in coding and programming benchmarks with an average score of 32.9. There are stronger options in this category.

Is Mistral Large 2 good for reasoning and logic?

Mistral Large 2 ranks #58 out of 119 models in reasoning and logic benchmarks with an average score of 44.5. There are stronger options in this category.

Is Mistral Large 2 good for agentic tool use and computer tasks?

Mistral Large 2 ranks #70 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 33. There are stronger options in this category.

Is Mistral Large 2 good for instruction following?

Mistral Large 2 ranks #79 out of 119 models in instruction following benchmarks with an average score of 50.6. There are stronger options in this category.

Does Mistral Large 2 have full benchmark coverage on BenchLM?

Not yet. Mistral Large 2 currently has 16 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Mistral Large 2?

Mistral Large 2 has a context window of 128K, which determines how much text it can process in a single interaction.

Last updated: June 2, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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