Mistral Large 2
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
#70Coding
#67Reasoning
#58Knowledge
#62Math
#53Multilingual
#53Multimodal
#74Inst. Following
#79Chatbot Arena Performance
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.
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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.
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