Compare Kimi K2 Thinking from moonshotai and Qwen3 Coder Next 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.




Kimi K2 Thinking and Qwen3 Coder Next are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Kimi K2 Thinking, from moonshotai, has a 262,144-token context window and is priced at $0.60/M tokens input, $2.50/M tokens output on OpenRouter.
Qwen3 Coder Next, from Qwen, has a 262,144-token context window and is priced at $0.12/M tokens input, $0.80/M tokens output on OpenRouter.
| Attribute | Kimi K2 Thinking | Qwen3 Coder Next |
|---|---|---|
| Input price | $0.60/M tokens | $0.12/M tokens |
| Output price | $2.50/M tokens | $0.80/M tokens |
| Context window | 262,144 tokens | 262,144 tokens |
| Intelligence Index | 22.0 | 9.2 |
| Coding Index | Not available | 36.2 |
| Agentic Index | Not available | 0.9 |
| Latency (p50) | 26.01 s | 0.74 s |
| Throughput (p50) | 9.5 tok/s | 57.0 tok/s |
Benchmark data updated
Qwen3 Coder Next is cheaper than Kimi K2 Thinking on OpenRouter: Qwen3 Coder Next costs $0.12/M tokens input and $0.80/M tokens output, while Kimi K2 Thinking costs $0.60/M tokens input and $2.50/M tokens output.
Kimi K2 Thinking and Qwen3 Coder Next have the same context window of 262,144 tokens.
Qwen3 Coder Next is faster on OpenRouter, generating a median 57.0 tokens per second compared with 9.5 tokens per second for Kimi K2 Thinking.