Compare MiniMax M2.1 from MiniMax and GPT-5.2 Chat 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 M2.1 and GPT-5.2 Chat are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
MiniMax M2.1, from MiniMax, has a 204,800-token context window and is priced at $0.30/M tokens input, $1.20/M tokens output on OpenRouter.
GPT-5.2 Chat, from OpenAI, has a 128,000-token context window and is priced at $1.75/M tokens input, $14/M tokens output on OpenRouter.
| MiniMax M2.1 | GPT-5.2 Chat | |
|---|---|---|
| Input price | $0.30/M tokens | $1.75/M tokens |
| Output price | $1.20/M tokens | $14/M tokens |
| Context window | 204,800 tokens | 128,000 tokens |
| Intelligence Index | Not available | Not available |
| Coding Index | Not available | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 1.95 s | Not available |
| Throughput (p50) | 82.0 tok/s | Not available |
MiniMax M2.1 is cheaper than GPT-5.2 Chat on OpenRouter: MiniMax M2.1 costs $0.30/M tokens input and $1.20/M tokens output, while GPT-5.2 Chat costs $1.75/M tokens input and $14/M tokens output.
MiniMax M2.1 has the longer context window at 204,800 tokens, compared with 128,000 tokens for GPT-5.2 Chat.