Compare MiniMax M2-her from MiniMax and GPT-5.1 from OpenAI 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-her and GPT-5.1 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
MiniMax M2-her, from MiniMax, has a 65,536-token context window and is priced at $0.30/M tokens input, $1.20/M tokens output on OpenRouter.
GPT-5.1, from OpenAI, has a 400,000-token context window and is priced at $1.25/M tokens input, $10/M tokens output on OpenRouter.
| MiniMax M2-her | GPT-5.1 | |
|---|---|---|
| Input price | $0.30/M tokens | $1.25/M tokens |
| Output price | $1.20/M tokens | $10/M tokens |
| Context window | 65,536 tokens | 400,000 tokens |
| Intelligence Index | Not available | 24.7 |
| Coding Index | Not available | 49.4 |
| Agentic Index | Not available | Not available |
| Latency (p50) | 0.74 s | 1.04 s |
| Throughput (p50) | 42.0 tok/s | 53.0 tok/s |
MiniMax M2-her is cheaper than GPT-5.1 on OpenRouter: MiniMax M2-her costs $0.30/M tokens input and $1.20/M tokens output, while GPT-5.1 costs $1.25/M tokens input and $10/M tokens output.
GPT-5.1 has the longer context window at 400,000 tokens, compared with 65,536 tokens for MiniMax M2-her.
GPT-5.1 is faster on OpenRouter, generating a median 53.0 tokens per second compared with 42.0 tokens per second for MiniMax M2-her.