readable AI benchmarks (simplified)
MiniMax
MiniMax-M2.1
MiniMax-M2.1 has a Quality Score of 32.9, ranking 231st among 551 scored models. Per 1M tokens, pricing is $0.300 input, $1.20 output, $0.030 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 33.6, ranking 271st among 553 scored models, below average (total average: 35.6). Its Value Score is 27.7, around average compared with the total Value average of 30.7.
Quality Score32.9coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score27.7
Factual reliability33.6
Cache Discount90%
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
- $0.030
- Cache write
- $0.375
- Cost per task
- not available
Capability
- Intelligence
- 20.9
- Coding
- not available
- Agentic
- not available
- Omniscience
- -32.9
- Correct
- 21.2%
- Blended price
- $0.201
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 75.2%
Correct 21.2%Incorrect 54.0%Partial / not attempted 24.8%
Artificial Analysis benchmarks
- Humanity’s Last Exam
- 23%
- GPQA Diamond
- 83%
- CritPt
- 0%
- AA-Omniscience
- 34%
- AA-LCR
- 68%
Similar models
- MiniMax-M2.5MiniMaxQuality Score 32.8Value Score 27.6
- MiniMax-M2MiniMaxQuality Score 27.7Value Score not available
- MiniMax-M2.7MiniMaxQuality Score 42.7Value Score 35.6
- MiniMax M1 80kMiniMaxQuality Score 21.9Value Score not available
- MiniMax-M3MiniMaxQuality Score 47.8Value Score 39.9
- MiniMax M1 40kMiniMaxQuality Score not availableValue Score not available