Claude Fable 5$22.000/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-5.5$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/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/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-5.5$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/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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Mistral Small 4

Efficient

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

Mistral Small 4 is a efficient AI model from Mistral. It costs $0.100 per million input tokens and $0.300 per million output tokens (blended $0.160/M), with a 128K-token context window.

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

Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$0.100/M
per million input tokens
OUTPUT
$0.300/M
per million output tokens
BLENDED 70/30
$0.160/M
default reference rate · how it's calculated →
CONTEXT
128K
128,000 tokens
What it's 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.
HumanEval68%
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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Mistral Large 2
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in $2.000/Mout $6.000/M
Pixtral Large
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Pixtral 12B
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Mistral Small 3.2
Efficient · 128K ctx
in $0.100/Mout $0.300/M
Frequently asked questions

How much does Mistral Small 4 cost?

Mistral Small 4 costs $0.100 per million input tokens and $0.300 per million output tokens, for a blended reference rate of $0.160 per million tokens.

What is Mistral Small 4's context window?

Mistral Small 4 supports up to 128K tokens of context (128,000 tokens).

What is Mistral Small 4 best for?

Mistral Small 4 is well suited to Open weights (Apache 2.0), Single-GPU friendly and 128K context.

Who makes Mistral Small 4?

Mistral Small 4 is developed and served by Mistral.