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Mistral Open sourceJan 2025

Mistral Small 3

Excellent latency / cost ratio — open weights, production-ready.

Intelligence index
52/ 100
vs all models5th pctile
Composite of MMLU, GPQA, MATH & HumanEval
Speed
150tok/s
vs all models77th pctile
Median across providers, steady state
Blended price
$0.30/ 1M tokens
vs all models82th pctile
3:1 input:output blend

At a glance

Context window
32k tokens
Max output
8k tokens
Input price
$0.20 / 1M tokens
Output price
$0.60 / 1M tokens
Time to first token
0.3s
Input modalities
text
Output modalities
text
License
Open source
Provider
Mistral

Benchmark scores

Public scores from each provider; bars compare this model against the leader in each benchmark.

MMLU
General knowledge across 57 subjects
81.0
leader: 91.8
MMLU Pro
Harder MMLU successor with more reasoning
66.0
leader: 80.0
GPQA
Graduate-level science Q&A
45.0
leader: 78.0
MATH
Competition mathematics
70.6
leader: 94.8
HumanEval
Python code generation pass@1
84.5
leader: 95.8
Strengths
  • Apache 2.0 license
  • Fast
  • Cheap
Weaknesses
  • Smaller context
Best for
  • Self-hosting
  • Edge deployment
  • Real-time apps

Mistral Small 3 — frequently asked questions

Mistral Small 3 is a large language model from Mistral, released on 30 January 2025. Excellent latency / cost ratio — open weights, production-ready.

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