Compare Kimi K2.6 from moonshotai and Gemma 4 31B (free) 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.
Kimi K2.6 and Gemma 4 31B (free) are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Kimi K2.6, from moonshotai, has a 262,144-token context window and is priced at $0.4408/M tokens input, $1.856/M tokens output on OpenRouter.
Gemma 4 31B (free), from Google, has a 262,144-token context window and is free to use on OpenRouter.
| Kimi K2.6 | Gemma 4 31B (free) | |
|---|---|---|
| Input price | $0.4408/M tokens | Free |
| Output price | $1.856/M tokens | Free |
| Context window | 262,144 tokens | 262,144 tokens |
| Intelligence Index | 23.6 | 13.9 |
| Coding Index | Not available | 33.2 |
| Agentic Index | Not available | Not available |
| Latency (p50) | 0.96 s | 1.21 s |
| Throughput (p50) | 58.0 tok/s | 29.0 tok/s |
Kimi K2.6 and Gemma 4 31B (free) have the same context window of 262,144 tokens.
Kimi K2.6 is faster on OpenRouter, generating a median 58.0 tokens per second compared with 29.0 tokens per second for Gemma 4 31B (free).