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MMistral Small 4OPEN

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system.

262KContext window · tokens
$0.15Input price · per M tokens
$0.6Output price · per M tokens
Mistral AIProvider

Prices update automatically — checked daily against provider list prices.

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Benchmarks & performance

Independent benchmark scores for Mistral Small 4, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

Coding index26.6
GPQA76.9%
Humanity's Last Exam9.9%
Long Context Reasoning49.7%
SciCode38.8%
IFBench48.2%
τ²-Bench41.2%
τ-Bench Banking4.9%
Terminal-Bench21%
Terminal-Bench Hard17.4%
⚡ Speed182.4 tokens/sec
⏱ Latency0.7s to first token
💰 Blended price$0.262 / 1M tokens
Benchmark data by Artificial Analysis

About this model

Mistral Small 4 is an open-weight AI model by Mistral AI. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Mistral Small 4?

Mistral Small 4 is an AI language model from Mistral AI. It is open-weight: you can download it and run it on your own hardware, for free.

Is Mistral Small 4 free?

The weights are free and open — you can self-host Mistral Small 4 and pay nothing per token. If you prefer a hosted API, list prices are $0.15 per million input tokens and $0.6 per million output tokens.

What is Mistral Small 4 good at?

Independent benchmarks from Artificial Analysis give it GPQA 76.9%, Humanity's Last Exam 9.9%, Long Context Reasoning 49.7%, SciCode 38.8%, IFBench 48.2%, τ²-Bench 41.2%, τ-Bench Banking 4.9%, Terminal-Bench 21%, Terminal-Bench Hard 17.4%. It is particularly used for code generation.

How fast is Mistral Small 4?

It generates about 182.4 tokens per second, with a median 0.7s delay before the first token. Measured independently by Artificial Analysis.

Can I self-host Mistral Small 4?

Yes. Mistral Small 4 has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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