Mistral Small 4
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
BenchLM is tracking Mistral Small 4, 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 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 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 Instruction Following (#80). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 3 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
#80Chatbot 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 Small 4 stacks up against similar models
Frequently Asked Questions
How does Mistral Small 4 perform overall in AI benchmarks?
Mistral Small 4 has 17 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 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
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 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 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 ranks #80 out of 119 models in instruction following benchmarks with an average score of 48.2. There are stronger options in this category.
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 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 Small 4?
Mistral Small 4 has a context window of 256K, which determines how much text it can process in a single interaction.
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