Model profile
Mistral Medium 3
Evidence coverage
13 of 323 tracked benchmarks are published. 0 are verified and 13 provisional. 6 of 8 categories are measured.
- Published / tracked
- 13 / 323
- Verified
- 0
- Provisional
- 13
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic1 benchmarkReported
- Coding1 benchmarkReported
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal2 benchmarksReported
- Inst. Following1 benchmarkReported
Mistral Medium 3 ranks #156 out of 200 models on the public leaderboard with an overall score of 43.2/100. 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 Medium 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 13 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 42.58–43.87
- Ling 2.6 FlashInclusionAICompare#15443.87Ling 2.6 Flash is #154 with a score of 43.87.
- Gemma 4 E4BGoogleCompare#15543.2Gemma 4 E4B is #155 with a score of 43.2.
- Mistral Medium 3Current modelMistral#15643.2Mistral Medium 3 is #156 with a score of 43.2.
- Sarvam 105BSarvamCompare#15742.97Sarvam 105B is #157 with a score of 42.97.
- Claude 4 SonnetAnthropicCompare#15842.79Claude 4 Sonnet is #158 with a score of 42.79.
- GPT-OSS 20BOpenAICompare#15942.74GPT-OSS 20B is #159 with a score of 42.74.
- DeepSeek R1 Distill Qwen 32BDeepSeekCompare#16042.58DeepSeek R1 Distill Qwen 32B is #160 with a score of 42.58.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%1 benchmarkReported | Score pending | Not ranked | Not available | 22% | 1 benchmark | Reported |
| CodingRank Not rankedWeight 20%1 benchmarkReported | 30.3 | Not ranked | Not available | 20% | 1 benchmark | Reported |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%6 benchmarksReported | 73.4 | Not ranked | Not available | 12% | 6 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%2 benchmarksReported | Score pending | Not ranked | Not available | 12% | 2 benchmarks | Reported |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 89.4 | Not ranked | Not available | 5% | 1 benchmark | Reported |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic1 benchmark
τ²-Bench Tool-Agent-User Evaluation
Coding1 benchmark
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Multimodal2 benchmarks
Artificial Analysis MMMU-Pro
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Mistral Medium 3 perform overall in AI benchmarks?
Mistral Medium 3 has 13 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Mistral Medium 3 good for knowledge and understanding?
Mistral Medium 3 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Mistral Medium 3 good for coding and programming?
Mistral Medium 3 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is Mistral Medium 3 good for reasoning and logic?
Mistral Medium 3 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Mistral Medium 3 good for agentic tool use and computer tasks?
Mistral Medium 3 has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is Mistral Medium 3 good for multimodal and grounded tasks?
Mistral Medium 3 has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is Mistral Medium 3 good for instruction following?
Mistral Medium 3 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Does Mistral Medium 3 have full benchmark coverage on BenchLM?
Not yet. Mistral Medium 3 currently has 13 published benchmark scores out of the 323 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 Medium 3?
Mistral Medium 3 has a published context window of 128K, which determines how much text it can process in a single interaction.
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