Compare Kimi K2.6 from moonshotai and GLM 5.1 from Z.ai 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 GLM 5.1 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 $0.4323/M tokens input, $1.82/M tokens output on OpenRouter.
GLM 5.1, from Z.ai, has a 204,800-token context window and is priced at $0.9646/M tokens input, $3.032/M tokens output on OpenRouter.
| Attribute | Kimi K2.6 | GLM 5.1 |
|---|---|---|
| Input price | $0.4323/M tokens | $0.9646/M tokens |
| Output price | $1.82/M tokens | $3.032/M tokens |
| Context window | 262,144 tokens | 204,800 tokens |
| Intelligence Index | 23.6 | 24.2 |
| Coding Index | Not available | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 0.90 s | 1.27 s |
| Throughput (p50) | 62.0 tok/s | 58.0 tok/s |
Benchmark data updated
Kimi K2.6 is cheaper than GLM 5.1 on OpenRouter: Kimi K2.6 costs $0.4323/M tokens input and $1.82/M tokens output, while GLM 5.1 costs $0.9646/M tokens input and $3.032/M tokens output.
Kimi K2.6 has the longer context window at 262,144 tokens, compared with 204,800 tokens for GLM 5.1.
Kimi K2.6 is faster on OpenRouter, generating a median 62.0 tokens per second compared with 58.0 tokens per second for GLM 5.1.