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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MistralEfficient

Mistral Small 3.2

Efficient

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

Mistral Small 3.2 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.

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
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.
More from Mistral
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Mistral Large 3
Frontier · 256K ctx
in $0.500/Mout $1.500/M
Mistral Medium 3.5
Balanced · 256K ctx
in $1.500/Mout $7.500/M
Mistral Small 4
Efficient · 128K ctx
in $0.100/Mout $0.300/M
Mistral Large 2
Frontier · 128K ctx
in $2.000/Mout $6.000/M
Pixtral Large
Vision · 128K ctx
in $2.000/Mout $6.000/M
Pixtral 12B
Compact Vision · 128K ctx
in $0.150/Mout $0.150/M
Frequently asked questions

How much does Mistral Small 3.2 cost?

Mistral Small 3.2 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 3.2's context window?

Mistral Small 3.2 supports up to 128K tokens of context (128,000 tokens).

What is Mistral Small 3.2 best for?

Mistral Small 3.2 is well suited to Open weights (Apache 2.0), Single-GPU friendly and 128K context.

Who makes Mistral Small 3.2?

Mistral Small 3.2 is developed and served by Mistral.