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Mistral Small 3

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Mistral's 24B small model: open-weights, fast, and strong on instruction following for its size.

Mistral Small 3 is a efficient AI model from Mistral. It costs $0.050 per million input tokens and $0.080 per million output tokens (blended $0.059/M), with a 32,768-token context window.

Profile inherited from upstream Mistral Small 3.2 ↗ — this is a hosted variant of the same open-weights model.

INPUT
$0.050/M
per million input tokens
OUTPUT
$0.080/M
per million output tokens
BLENDED 70/30
$0.059/M
unchanged since 3 May
CONTEXT
32,768
tokens
What it is good at
  • Open weights (Apache 2.0)
  • Single-GPU friendly
  • 128K context
Typical use cases
  • Self-hosted production chat
  • Cheap European-hosted inference

Benchmarks

vs. best public score
Scores inherited from Mistral Small 3.2 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU71%
Multitask academic knowledge across 57 subjects.
Python function synthesis from docstrings.
LMArena Elo1175 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Mistral Small 3 cost?

Mistral Small 3 costs $0.050 per million input tokens and $0.080 per million output tokens, for a blended reference rate of $0.059 per million tokens.

What is Mistral Small 3's context window?

Mistral Small 3 supports up to 32,768 tokens of context in a single request.

What is Mistral Small 3 best for?

Mistral Small 3 is well suited to Open weights (Apache 2.0), Single-GPU friendly and 128K context.

Who makes Mistral Small 3?

Mistral Small 3 is developed and served by Mistral.

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