Mistral Medium 3.5 128B
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 20 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Ranking Distribution
Category rank across 1 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
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 Medium 3.5 128B perform overall in AI benchmarks?
Mistral Medium 3.5 128B has 20 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 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
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 20 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 Medium 3.5 128B?
Mistral Medium 3.5 128B has a context window of 256K, which determines how much text it can process in a single interaction.
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