readable AI benchmarks (simplified)
Mistral
Mistral Large 2 (Nov '24)
Mistral Large 2 (Nov '24) has a Quality Score of 22.2, ranking 341st among 551 scored models. It has a 128k token context window. Its Reliability Score is 32.8, ranking 278th among 553 scored models, below average (total average: 35.6).
Quality Score22.2coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability32.8
Cache Discountnot available
Model specification
- Reasoning
- non-reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 128k tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- not available
- Output
- not available
- Cached Input
- not available
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- 7.6
- Coding
- not available
- Agentic
- not available
- Omniscience
- -34.4
- Correct
- 19.9%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 74.1%
Correct 19.9%Incorrect 54.2%Partial / not attempted 25.9%
Artificial Analysis benchmarks
- Humanity’s Last Exam
- 3%
- GPQA Diamond
- 49%
- CritPt
- 0%
- AA-Omniscience
- 33%
Similar models
- Mistral Large 3MistralQuality Score 22.2Value Score 18.0
- Devstral MediumMistralQuality Score 24.0Value Score not available
- Mistral Medium 3.1MistralQuality Score 20.5Value Score not available
- Mistral Medium 3MistralQuality Score 24.1Value Score not available
- Devstral 2MistralQuality Score 20.0Value Score not available
- Mistral Small 4 (Non-reasoning)MistralQuality Score 19.8Value Score 17.7