readable AI benchmarks (simplified)
Mistral
Mistral Small 4 (Reasoning)
Mistral Small 4 (Reasoning) has a Quality Score of 26.1, ranking 314th among 571 scored models. Per 1M tokens, pricing is $0.150 input, $0.600 output, and $0.015 cached input. It accepts text and image input, outputs text, and has a 256k token context window. Its Reliability Score is 34.8, ranking 281st among 573 scored models, below average (total average: 36.5). Its Value Score is 23.4, low compared with the total Value average of 31.4.
Quality Score26.1coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score23.4
Factual reliability34.8
Cache Discount90%
Model specification
- Reasoning
- reasoning
- Input modalities
- text, image
- Output modalities
- text
- Context window
- 256k tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- $0.150
- Output
- $0.600
- Cached Input
- $0.015
- Cache write
- not available
- Cost per task
- $0.015
Capability
- Intelligence
- 11.3
- Coding
- not available
- Agentic
- not available
- Omniscience
- -30.4
- Correct
- 21.7%
- Blended price
- $0.100
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 73.8%
Correct 21.7%Incorrect 52.1%Partial / not attempted 26.2%
Artificial Analysis benchmarks
- GDPval-AA v2
- 0%
- τ³-Banking
- 5%
- SciCode
- 39%
- Humanity’s Last Exam
- 10%
- GPQA Diamond
- 77%
- CritPt
- 0%
- AA-Omniscience
- 35%
- AA-LCR
- 50%
Similar models
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- Magistral Medium 1MistralQuality Score 25.2Value Score not available
- Mistral Medium 3.5MistralQuality Score 26.7Value Score 18.4
- Magistral Small 1MistralQuality Score 20.2Value Score not available
- Magistral Small 1.2MistralQuality Score 15.3Value Score not available
- Mistral Medium 3MistralQuality Score 24.1Value Score not available