readable AI benchmarks (simplified)
Mistral
Mistral Small 3.2
Mistral Small 3.2 has a Quality Score of 18.7, ranking 413th among 551 scored models. Per 1M tokens, pricing is $0.075 input and $0.200 output. It accepts text and image input, outputs text, and has a 128k token context window. Its Reliability Score is 24.7, ranking 379th among 553 scored models, below average (total average: 35.6).
Quality Score18.7coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability24.7
Cache Discountnot available
Model specification
- Reasoning
- non-reasoning
- Input modalities
- text, image
- Output modalities
- text
- Context window
- 128k tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- $0.075
- Output
- $0.200
- Cached Input
- not available
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- 8.2
- Coding
- not available
- Agentic
- not available
- Omniscience
- -50.6
- Correct
- 14.8%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 80.3%
Correct 14.8%Incorrect 65.4%Partial / not attempted 19.8%
Artificial Analysis benchmarks
- GDPval-AA v2
- 0%
- τ³-Banking
- 6%
- SciCode
- 29%
- Humanity’s Last Exam
- 4%
- GPQA Diamond
- 51%
- CritPt
- 0%
- AA-Omniscience
- 25%
- AA-LCR
- 20%
Similar models
- Devstral Small (Jul '25)MistralQuality Score 18.1Value Score not available
- Devstral Small (May '25)MistralQuality Score 17.5Value Score not available
- Devstral 2MistralQuality Score 20.0Value Score not available
- Mistral Small 4 (Non-reasoning)MistralQuality Score 19.8Value Score 17.7
- Mistral Small 3.1MistralQuality Score 17.8Value Score not available
- Mistral Medium 3.1MistralQuality Score 20.5Value Score not available