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Mistral Small 4

MistralCurrentReleased Feb 20, 2026
Overall Score
Coming soon
Arena Elo
1357
Categories Ranked
1of 8
Price (1M tokens)
$0.15 in / $0.6 out
Speed
175tok/s
Context
256K
Open WeightSelf-hostNon-Reasoning
Confidence
base

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Mistral Small 4
API / mo$563
Self-host / mo$2,278
Break-even266M/day
Model the full break-even

BenchLM is tracking Mistral Small 4, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

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 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

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

65.8/ 100
Weight: 22%0 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

0.0/ 100
Weight: 20%0 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

0.0/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

46.2/ 100
Weight: 12%0 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

0.0/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

0.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

0.0/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

#80
46.1/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1357CI: ±5.217,723 votes
Coding1412CI: ±10.03,362 votes
Math1338CI: ±17.51,045 votes
Instruction Following1339CI: ±8.94,385 votes
Creative Writing1324CI: ±12.82,175 votes
Multi-turn1367CI: ±10.63,077 votes
Hard Prompts1375CI: ±6.97,820 votes
Hard Prompts (English)1398CI: ±9.14,075 votes
Longer Query1360CI: ±10.13,409 votes

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.

Mistral Small 4 Family

Base entry

Frequently Asked Questions

How does Mistral Small 4 perform overall in AI benchmarks?

BenchLM is tracking Mistral Small 4, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.

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 0 published benchmark scores out of the 185 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.

Last updated: May 1, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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