Compare MiniMax M2.7 from MiniMax and Qwen3.7 Max from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


MiniMax M2.7 and Qwen3.7 Max are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
MiniMax M2.7, from MiniMax, has a 204,800-token context window and is priced at $0.21/M tokens input, $0.84/M tokens output on OpenRouter.
Qwen3.7 Max, from Qwen, has a 1,000,000-token context window and is priced at $1.475/M tokens input, $4.425/M tokens output on OpenRouter.
| Attribute | MiniMax M2.7 | Qwen3.7 Max |
|---|---|---|
| Input price | $0.21/M tokens | $1.475/M tokens |
| Output price | $0.84/M tokens | $4.425/M tokens |
| Context window | 204,800 tokens | 1,000,000 tokens |
| Intelligence Index | 22.8 | 29.5 |
| Coding Index | 52.6 | 66.0 |
| Agentic Index | 15.3 | 22.5 |
| Latency (p50) | 1.74 s | 1.05 s |
| Throughput (p50) | 42.0 tok/s | 72.0 tok/s |
Benchmark data updated
MiniMax M2.7 is cheaper than Qwen3.7 Max on OpenRouter: MiniMax M2.7 costs $0.21/M tokens input and $0.84/M tokens output, while Qwen3.7 Max costs $1.475/M tokens input and $4.425/M tokens output.
Qwen3.7 Max has the longer context window at 1,000,000 tokens, compared with 204,800 tokens for MiniMax M2.7.
Qwen3.7 Max is faster on OpenRouter, generating a median 72.0 tokens per second compared with 42.0 tokens per second for MiniMax M2.7.
Qwen3.7 Max scores higher on coding, with an Artificial Analysis Coding Index of 66.0 compared with 52.6 for MiniMax M2.7.