readable AI benchmarks (simplified)
Mistral
Mistral 7B Instruct
Mistral 7B Instruct has a Quality Score of 12.6, ranking 508th among 551 scored models. Per 1M tokens, pricing is $0.150 input and $0.200 output. It has a 8,192 token context window. Its Reliability Score is 17.5, ranking 493rd among 553 scored models, below average (total average: 35.6).
Quality Score12.6coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability17.5
Cache Discountnot available
Model specification
- Reasoning
- non-reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 8,192 tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- $0.150
- Output
- $0.200
- Cached Input
- not available
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- 5.0
- Coding
- not available
- Agentic
- not available
- Omniscience
- -64.9
- Correct
- 9.0%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 83.0%
Correct 9.0%Incorrect 73.9%Partial / not attempted 17.0%
Artificial Analysis benchmarks
- Humanity’s Last Exam
- 5%
- GPQA Diamond
- 18%
- CritPt
- 0%
- AA-Omniscience
- 18%
- AA-LCR
- 0%
Similar models
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- Devstral Small 2MistralQuality Score 16.4Value Score not available
- Mistral Small 3.1MistralQuality Score 17.8Value Score not available
- Devstral Small (Jul '25)MistralQuality Score 18.1Value Score not available