Compare Qwen3.6 27B from Qwen and Gemma 4 31B from Google on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


Qwen3.6 27B and Gemma 4 31B are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Qwen3.6 27B, from Qwen, has a 262,144-token context window and is priced at $0.20/M tokens input, $3/M tokens output on OpenRouter.
Gemma 4 31B, from Google, has a 262,144-token context window and is priced at $0.10/M tokens input, $0.34/M tokens output on OpenRouter.
| Attribute | Qwen3.6 27B | Gemma 4 31B |
|---|---|---|
| Input price | $0.20/M tokens | $0.10/M tokens |
| Output price | $3/M tokens | $0.34/M tokens |
| Context window | 262,144 tokens | 262,144 tokens |
| Intelligence Index | Not available | Not available |
| Coding Index | 53.7 | 43.4 |
| Agentic Index | 18.5 | 4.2 |
| Latency (p50) | 0.61 s | 0.84 s |
| Throughput (p50) | 65.0 tok/s | 38.0 tok/s |
Benchmark data updated
Gemma 4 31B is cheaper than Qwen3.6 27B on OpenRouter: Gemma 4 31B costs $0.10/M tokens input and $0.34/M tokens output, while Qwen3.6 27B costs $0.20/M tokens input and $3/M tokens output.
Qwen3.6 27B and Gemma 4 31B have the same context window of 262,144 tokens.
Qwen3.6 27B is faster on OpenRouter, generating a median 65.0 tokens per second compared with 38.0 tokens per second for Gemma 4 31B.
Qwen3.6 27B scores higher on coding, with an Artificial Analysis Coding Index of 53.7 compared with 43.4 for Gemma 4 31B.