Compare GLM 5.3 from Z.ai and Kimi K3 from moonshotai on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


GLM 5.3 and Kimi K3 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
GLM 5.3, from Z.ai, has a 1,048,576-token context window and is priced at $0.079/M tokens input, $1.40/M tokens output on OpenRouter.
Kimi K3, from moonshotai, has a 1,048,576-token context window and is priced at $0.238/M tokens input, $16/M tokens output on OpenRouter.
| Attribute | GLM 5.3 | Kimi K3 |
|---|---|---|
| Input price | $0.079/M tokens | $0.238/M tokens |
| Output price | $1.40/M tokens | $16/M tokens |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Intelligence Index | 44.8 | 43.6 |
| Coding Index | 74.8 | 76.2 |
| Agentic Index | 53.1 | 50.0 |
| Latency (p50) | 0.45 s | 0.79 s |
| Throughput (p50) | 113.0 tok/s | 86.0 tok/s |
Benchmark data updated
GLM 5.3 is cheaper than Kimi K3 on OpenRouter: GLM 5.3 costs $0.079/M tokens input and $1.40/M tokens output, while Kimi K3 costs $0.238/M tokens input and $16/M tokens output.
GLM 5.3 and Kimi K3 have the same context window of 1,048,576 tokens.
GLM 5.3 is faster on OpenRouter, generating a median 113.0 tokens per second compared with 86.0 tokens per second for Kimi K3.
Kimi K3 scores higher on coding, with an Artificial Analysis Coding Index of 76.2 compared with 74.8 for GLM 5.3.