MiniMax M2.7
MiniMax M2.7 is a Chinese Frontier generalist model with a context window of 205,000 tokens for large-scale documents and multilingual applications. The MoE architecture delivers high performance for general language and reasoning tasks; the model is available as a cloud variant and designed for productive applications. When used via cloud, Chinese jurisdiction applies with the corresponding data privacy implications.
- Restricted Weights
- Server
- OpenRouter
- Text
- Interactive
Sovereign Risk: HIGH MiniMax is a Chinese company and subject to China’s National Security Law (NSL), which may enable state access to data. In February 2025, the BSI explicitly warned against the use of Chinese AI cloud services; this risk assessment is conservatively applied here as well.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 73.03
- Routine
- 44.67
- Reasoning
- 28.37
- LLM Judge Avg
- 3.71 / 5
- 100 Coverage
- Avg Task Duration
- 33.69s
- Interactive
- Token Rate
- 48.05tok/s
- Output Rate
- P95 Latency
- 89.11s
- Top 5 %
- Total Tokens
- 109900
- Output Volume
- Cost per 1K
- $0.0012
- USD / 1K Requests
- Benchmark Cost
- $0.13
- Total · 109900 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median