readable AI benchmarks (simplified)
MiniMax
MiniMax-M2.7
MiniMax-M2.7 has a Quality Score of 42.7, ranking 148th among 551 scored models. Per 1M tokens, pricing is $0.300 input, $1.20 output, $0.060 cached input, and $0.375 cache write. It accepts text input, outputs text, and has a 204,800 token context window. Its Reliability Score is 50.4, ranking 108th among 553 scored models, above average (total average: 35.6). Its Value Score is 35.6, high compared with the total Value average of 30.7.
Quality Score42.7coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score35.6
Factual reliability50.4
Cache Discount80%
Model specification
- Reasoning
- reasoning
- Input modalities
- text
- Output modalities
- text
- Context window
- 204,800 tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- $0.300
- Output
- $1.20
- Cached Input
- $0.060
- Cache write
- $0.375
- Cost per task
- $0.102
Capability
- Intelligence
- 22.8
- Coding
- not available
- Agentic
- not available
- Omniscience
- 0.8
- Correct
- 26.8%
- Blended price
- $0.222
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 52.8%
Correct 26.8%Incorrect 26.0%Partial / not attempted 47.2%
Artificial Analysis benchmarks
- GDPval-AA v2
- 25%
- τ³-Banking
- 10%
- SciCode
- 50%
- Humanity’s Last Exam
- 30%
- GPQA Diamond
- 87%
- CritPt
- 1%
- AA-Omniscience
- 50%
- AA-LCR
- 78%
Similar models
- MiniMax-M3MiniMaxQuality Score 47.8Value Score 39.9
- MiniMax-M2.5MiniMaxQuality Score 32.8Value Score 27.6
- MiniMax-M2.1MiniMaxQuality Score 32.9Value Score 27.7
- MiniMax-M2MiniMaxQuality Score 27.7Value Score not available
- MiniMax M1 80kMiniMaxQuality Score 21.9Value Score not available
- MiniMax M1 40kMiniMaxQuality Score not availableValue Score not available