Compare Llama Guard 4 12B from Meta Llama 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.




Llama Guard 4 12B and Qwen3.7 Max are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Llama Guard 4 12B, from Meta Llama, has a 163,840-token context window and is priced at $0.18/M tokens input, $0.18/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 | Llama Guard 4 12B | Qwen3.7 Max |
|---|---|---|
| Input price | $0.18/M tokens | $1.475/M tokens |
| Output price | $0.18/M tokens | $4.425/M tokens |
| Context window | 163,840 tokens | 1,000,000 tokens |
| Intelligence Index | Not available | 29.5 |
| Coding Index | Not available | 66.0 |
| Agentic Index | Not available | 22.5 |
| Latency (p50) | 1.88 s | 1.15 s |
| Throughput (p50) | Not available | 81.0 tok/s |
Benchmark data updated
Llama Guard 4 12B is cheaper than Qwen3.7 Max on OpenRouter: Llama Guard 4 12B costs $0.18/M tokens input and $0.18/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 163,840 tokens for Llama Guard 4 12B.