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MistralOpen source Mistral AI · France· 2026

Mistral Small 4

Efficient, cheap-to-run open model (Apache 2.0).

Modality

Text

Context

Efficient context

Pricing (per 1M)

Open / self-host

What Mistral Small 4 is for

Mistral Small 4 is the efficient tier — built to do useful work at low cost and low latency, and to run on modest hardware where deployed directly.

Mistral's design philosophy is most visible at this size: extracting more from fewer parameters, which makes their small models unusually competitive against larger rivals.

Where it does well

Price and speed without the sharp capability cliff that usually comes with them. For classification, extraction, routing and short-form generation it is genuinely capable rather than merely adequate.

Multilingual handling is a real advantage at this size — most small models are heavily English-weighted and degrade noticeably in other languages.

Where it falls short

It remains a small model. Complex reasoning, long context and nuanced writing are all beyond it, and it will attempt them confidently rather than declining.

Prompts need to be more specific than a larger tier requires, and output should be validated in production.

Should you use it?

A strong default for high-volume, well-defined tasks, particularly multilingual ones. Pair it with Large 3 behind a routing decision rather than using either alone — the cheap model handling the easy majority is the pattern that keeps quality up and cost down.

Capabilities

Fast inferenceClassificationOpen weights

Pros

  • Very efficient
  • Cheap to self-host
  • Open license

Cons

  • Lightweight on complex reasoning

Best for

High-volume open deploymentsEdge inference

Try a prompt for Mistral Small 4

Mistral Small 4
Classify this email: support, sales, or spam. One word answer.

Other Mistral models

Pricing indicative, per 1M tokens, reviewed July 2026.

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