Compare DeepSeek V3.2 from DeepSeek and MiniMax M2 from MiniMax on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


DeepSeek V3.2 and MiniMax M2 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
DeepSeek V3.2, from DeepSeek, has a 163,840-token context window and is priced at $0.2088/M tokens input, $0.3096/M tokens output on OpenRouter.
MiniMax M2, from MiniMax, has a 204,800-token context window and is priced at $0.255/M tokens input, $1.02/M tokens output on OpenRouter.
| Attribute | DeepSeek V3.2 | MiniMax M2 |
|---|---|---|
| Input price | $0.2088/M tokens | $0.255/M tokens |
| Output price | $0.3096/M tokens | $1.02/M tokens |
| Context window | 163,840 tokens | 204,800 tokens |
| Intelligence Index | 21.5 | 18.6 |
| Coding Index | 44.2 | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 1.46 s | 1.24 s |
| Throughput (p50) | 55.0 tok/s | 54.0 tok/s |
Benchmark data updated
DeepSeek V3.2 is cheaper than MiniMax M2 on OpenRouter: DeepSeek V3.2 costs $0.2088/M tokens input and $0.3096/M tokens output, while MiniMax M2 costs $0.255/M tokens input and $1.02/M tokens output.
MiniMax M2 has the longer context window at 204,800 tokens, compared with 163,840 tokens for DeepSeek V3.2.
DeepSeek V3.2 is faster on OpenRouter, generating a median 55.0 tokens per second compared with 54.0 tokens per second for MiniMax M2.