Compare MiniMax M2 from MiniMax and gpt-oss-safeguard-20b 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 and gpt-oss-safeguard-20b are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
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.
gpt-oss-safeguard-20b, from OpenAI, has a 131,072-token context window and is priced at $0.075/M tokens input, $0.30/M tokens output on OpenRouter.
| Attribute | MiniMax M2 | gpt-oss-safeguard-20b |
|---|---|---|
| Input price | $0.255/M tokens | $0.075/M tokens |
| Output price | $1.02/M tokens | $0.30/M tokens |
| Context window | 204,800 tokens | 131,072 tokens |
| Intelligence Index | 18.6 | Not available |
| Coding Index | Not available | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 1.48 s | 0.13 s |
| Throughput (p50) | 48.0 tok/s | 613.0 tok/s |
Benchmark data updated
gpt-oss-safeguard-20b is cheaper than MiniMax M2 on OpenRouter: gpt-oss-safeguard-20b costs $0.075/M tokens input and $0.30/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 131,072 tokens for gpt-oss-safeguard-20b.
gpt-oss-safeguard-20b is faster on OpenRouter, generating a median 613.0 tokens per second compared with 48.0 tokens per second for MiniMax M2.