Model profile
Mistral Medium 3.5 128B
Evidence coverage
25 of 323 tracked benchmarks are published. 3 are verified and 22 provisional. 6 of 8 categories are measured.
- Published / tracked
- 25 / 323
- Verified
- 3
- Provisional
- 22
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic11 benchmarksMixed evidence
- Coding3 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge7 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal1 benchmarkReported
- Inst. Following1 benchmarkReported
BenchLM is tracking Mistral Medium 3.5 128B, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
Mistral Medium 3.5 128B is a open weight model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 25 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 Coding (#91). This performance profile makes it particularly well-suited for software development and code generation tasks.
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 77.44–83.93
- Claude Mythos 5AnthropicCompare#183.93Claude Mythos 5 is #1 with a score of 83.93.
- Claude Fable 5AnthropicCompare#283.68Claude Fable 5 is #2 with a score of 83.68.
- GPT-5.6 SolOpenAICompare#381.96GPT-5.6 Sol is #3 with a score of 81.96.
- Kimi K3Moonshot AICompare#480.96Kimi K3 is #4 with a score of 80.96.
- Claude Opus 4.8AnthropicCompare#578.34Claude Opus 4.8 is #5 with a score of 78.34.
- Muse Spark 1.1MetaCompare#677.44Muse Spark 1.1 is #6 with a score of 77.44.
- Mistral Medium 3.5 128BCurrent modelMistralUnrankedNot measuredMistral Medium 3.5 128B is Unranked with a score of Not measured.
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.
- Coding26%Eligible cohort rank #91 of 122Category score 45.7
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%11 benchmarksMixed sources | Score pending | Not ranked | Not available | 22% | 11 benchmarks | Mixed sources |
| CodingRank #91 of 122Percentile 26thWeight 20%3 benchmarksMixed sources | 45.7 | #91 of 122 | 26th | 20% | 3 benchmarks | Mixed sources |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeWeight 12%7 benchmarksReported | Score pending | Not ranked | Not available | 12% | 7 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. FollowingWeight 5%1 benchmarkReported | Score pending | 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.
Agentic11 benchmarks
τ³-Bench Tool-Agent-User Evaluation
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Gert Labs Composite Game Benchmark
Artificial Analysis Briefcase
Artificial Analysis EnterpriseOps-Gym
Artificial Analysis Harvey LAB-AA
Artificial Analysis Tau3-Banking
Coding3 benchmarks
Software Engineering Benchmark Verified
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge7 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Artificial Analysis Openness Index
Multimodal1 benchmark
Artificial Analysis MMMU-Pro
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Mistral Medium 3.5 128B perform overall in AI benchmarks?
Mistral Medium 3.5 128B has 25 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Mistral Medium 3.5 128B good for knowledge and understanding?
Mistral Medium 3.5 128B has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Mistral Medium 3.5 128B good for coding and programming?
Mistral Medium 3.5 128B ranks #91 out of 122 models in coding and programming benchmarks with an average score of 45.7. There are stronger options in this category.
Is Mistral Medium 3.5 128B good for reasoning and logic?
Mistral Medium 3.5 128B has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Mistral Medium 3.5 128B good for agentic tool use and computer tasks?
Mistral Medium 3.5 128B 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 3.5 128B good for multimodal and grounded tasks?
Mistral Medium 3.5 128B has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is Mistral Medium 3.5 128B good for instruction following?
Mistral Medium 3.5 128B has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Is Mistral Medium 3.5 128B open source?
Yes, Mistral Medium 3.5 128B is an open weight model created by Mistral, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Mistral Medium 3.5 128B have full benchmark coverage on BenchLM?
Not yet. Mistral Medium 3.5 128B currently has 25 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 3.5 128B?
Mistral Medium 3.5 128B has a published context window of 256K, which determines how much text it can process in a single interaction.
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