readable AI benchmarks (simplified)
Mistral
Mistral Large 4 (Medium)
Mistral Large 4 (Medium) has a Quality Score of 43.6, ranking 104th among 217 scored models. Per 1M tokens, pricing is $0.700 input, $2.10 output, $0.070 cached input, and $0.700 cache write. It has a 1M token context window. Its Reliability Score is 51.6, ranking 89th among 229 scored models, above average (total average: 46.2). Its Value Score is 34.0, around average compared with the total Value average of 33.8.
Quality Score43.6coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score34.0
Factual reliability51.6
Cache Discount90%
Model specification
- Reasoning
- reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 1M tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- $0.700
- Output
- $2.10
- Cached Input
- $0.070
- Cache write
- $0.700
- Cost per task
- $1.41
Capability
- Intelligence
- 23.1
- Coding
- not available
- Agentic
- not available
- Omniscience
- 3.3
- Correct
- 22.5%
- Blended price
- $0.399
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 41.7%
Correct 22.5%Incorrect 19.2%Partial / not attempted 58.3%
Artificial Analysis benchmarks
- CritPt
- 11%
- AA-Omniscience
- 52%
Similar models
- Mistral Large 4 (High)MistralQuality Score 46.3Value Score 36.2
- Magistral Medium 1.2MistralQuality Score not availableValue Score not available
- Magistral Small 1MistralQuality Score not availableValue Score not available
- Magistral Small 1.2MistralQuality Score not availableValue Score not available
- Mistral Medium 3.5MistralQuality Score not availableValue Score not available
- Mistral Small 4 (Reasoning)MistralQuality Score not availableValue Score not available