Mistral Large 3
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
According to BenchLM.ai, Mistral Large 3 ranks #68 out of 119 models on the provisional leaderboard with an overall score of 49/100. 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 3 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 17 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 Multimodal & Grounded (#32), while its weakest is Knowledge (#70). This performance profile makes it particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
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
#64Coding
#65Reasoning
#51Knowledge
#70Math
#40Multilingual
#55Multimodal
#32Inst. Following
#52Chatbot 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.
Compare This Model
See how Mistral Large 3 stacks up against similar models
Frequently Asked Questions
How does Mistral Large 3 perform overall in AI benchmarks?
Mistral Large 3 currently ranks #68 out of 119 models on BenchLM's provisional leaderboard with an overall score of 49 (estimated). It is created by Mistral and features a 128K context window.
Is Mistral Large 3 good for knowledge and understanding?
Mistral Large 3 ranks #70 out of 119 models in knowledge and understanding benchmarks with an average score of 41.5. There are stronger options in this category.
Is Mistral Large 3 good for coding and programming?
Mistral Large 3 ranks #65 out of 119 models in coding and programming benchmarks with an average score of 38.4. There are stronger options in this category.
Is Mistral Large 3 good for reasoning and logic?
Mistral Large 3 ranks #51 out of 119 models in reasoning and logic benchmarks with an average score of 52.1. There are stronger options in this category.
Is Mistral Large 3 good for agentic tool use and computer tasks?
Mistral Large 3 ranks #64 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 38.2. There are stronger options in this category.
Is Mistral Large 3 good for multimodal and grounded tasks?
Mistral Large 3 ranks #32 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 67. There are stronger options in this category.
Is Mistral Large 3 good for instruction following?
Mistral Large 3 ranks #52 out of 119 models in instruction following benchmarks with an average score of 67.2. There are stronger options in this category.
Does Mistral Large 3 have full benchmark coverage on BenchLM?
Not yet. Mistral Large 3 currently has 17 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 3?
Mistral Large 3 has a context window of 128K, which determines how much text it can process in a single interaction.
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