Model profile
Mistral Small 4
Evidence coverage
16 of 323 tracked benchmarks are published. 0 are verified and 16 provisional. 6 of 8 categories are measured.
- Published / tracked
- 16 / 323
- Verified
- 0
- Provisional
- 16
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic4 benchmarksReported
- Coding2 benchmarksReported
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal1 benchmarkReported
- Inst. Following1 benchmarkReported
Mistral Small 4 ranks #140 out of 200 models on the public leaderboard with an overall score of 46.23/100. 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 Small 4 is a open weight model with a 256K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Mistral Small 4 sits inside the Mistral Small 4 family alongside Mistral Small 4 (Reasoning). This profile currently has 16 of 323 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 Agentic (#88), while its weakest is Coding (#89). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
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 45.13–47.29
- Gemma 4 12BGoogleCompare#13747.29Gemma 4 12B is #137 with a score of 47.29.
- Qwen3.5 PlusAlibabaCompare#13847.2Qwen3.5 Plus is #138 with a score of 47.2.
- GPT-5 nanoOpenAICompare#13946.36GPT-5 nano is #139 with a score of 46.36.
- Mistral Small 4Current modelMistral#14046.23Mistral Small 4 is #140 with a score of 46.23.
- o1-proOpenAICompare#14145.94o1-pro is #141 with a score of 45.94.
- Claude 4.1 OpusAnthropicCompare#14245.88Claude 4.1 Opus is #142 with a score of 45.88.
- Z-1ZCompare#14345.13Z-1 is #143 with a score of 45.13.
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.
- Agentic26%Eligible cohort rank #88 of 119Category score 42.3
- Coding27%Eligible cohort rank #89 of 122Category score 46.3
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 |
|---|---|---|---|---|---|---|
| AgenticRank #88 of 119Percentile 26thWeight 22%4 benchmarksReported | 42.3 | #88 of 119 | 26th | 22% | 4 benchmarks | Reported |
| CodingRank #89 of 122Percentile 27thWeight 20%2 benchmarksReported | 46.3 | #89 of 122 | 27th | 20% | 2 benchmarks | Reported |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%6 benchmarksReported | 62.3 | 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%1 benchmarkReported | Score pending | Not ranked | Not available | 12% | 1 benchmark | Reported |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 72.9 | Not ranked | Not available | 5% | 1 benchmark | Reported |
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1358 | ±5.2 | 17,696 |
| Coding | 1413 | ±10.0 | 3,359 |
| Math | 1339 | ±17.5 | 1,041 |
| Instruction Following | 1339 | ±8.9 | 4,383 |
| Creative Writing | 1325 | ±12.8 | 2,167 |
| Multi-turn | 1367 | ±10.6 | 3,082 |
| Hard Prompts | 1374 | ±6.9 | 7,813 |
| Hard Prompts (English) | 1398 | ±9.1 | 4,071 |
| Longer Query | 1360 | ±10.1 | 3,401 |
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.
Agentic4 benchmarks
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Coding2 benchmarks
Artificial Analysis Coding Index
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
Multimodal1 benchmark
Artificial Analysis MMMU-Pro
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Mistral Small 4 perform overall in AI benchmarks?
Mistral Small 4 has 16 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Mistral Small 4 good for knowledge and understanding?
Mistral Small 4 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Mistral Small 4 good for coding and programming?
Mistral Small 4 ranks #89 out of 122 models in coding and programming benchmarks with an average score of 46.3. There are stronger options in this category.
Is Mistral Small 4 good for reasoning and logic?
Mistral Small 4 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Mistral Small 4 good for agentic tool use and computer tasks?
Mistral Small 4 ranks #88 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 42.3. There are stronger options in this category.
Is Mistral Small 4 good for multimodal and grounded tasks?
Mistral Small 4 has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is Mistral Small 4 good for instruction following?
Mistral Small 4 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Is Mistral Small 4 open source?
Yes, Mistral Small 4 is an open weight model created by Mistral, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Mistral Small 4?
Mistral Small 4 belongs to the Mistral Small 4 family. Related variants on BenchLM include Mistral Small 4 (Reasoning).
Does Mistral Small 4 have full benchmark coverage on BenchLM?
Not yet. Mistral Small 4 currently has 16 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 Small 4?
Mistral Small 4 has a published context window of 256K, which determines how much text it can process in a single interaction.
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