Claude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MClaude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/M
Mistral
Mistral
EfficientLIVE INDEX

Mistral Small 3

text->text

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.

More from Mistral

See all 15

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.

Terms used on this page