readable AI benchmarks (simplified)
Mistral
Magistral Small 1.2
Magistral Small 1.2 has a Quality Score of 15.3, ranking 496th among 572 scored models. Per 1M tokens, pricing is $0.500 input and $1.50 output. It accepts text and image input, outputs text, and has a 128k token context window. Its Reliability Score is 17.4, ranking 516th among 574 scored models, below average (total average: 36.5).
Quality Score15.3coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability17.4
Cache Discountnot available
Model specification
- Reasoning
- reasoning
- Input modalities
- text, image
- Output modalities
- text
- Context window
- 128k tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- $0.500
- Output
- $1.50
- Cached Input
- not available
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- 8.6
- Coding
- not available
- Agentic
- not available
- Omniscience
- -65.1
- Correct
- 13.5%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 92.0%
Correct 13.5%Incorrect 78.5%Partial / not attempted 8.0%
Artificial Analysis benchmarks
- GDPval-AA v2
- 0%
- τ³-Banking
- 5%
- Humanity’s Last Exam
- 6%
- GPQA Diamond
- 66%
- CritPt
- 0%
- AA-Omniscience
- 17%
- AA-LCR
- 19%
Similar models
- Magistral Small 1MistralQuality Score 20.2Value Score not available
- Magistral Medium 1MistralQuality Score 25.2Value Score not available
- Mistral Small 4 (Reasoning)MistralQuality Score 26.1Value Score 23.4
- Magistral Medium 1.2MistralQuality Score 27.4Value Score not available
- Mistral Medium 3.5MistralQuality Score 26.7Value Score 18.4
- Devstral Small 2MistralQuality Score 16.4Value Score not available