Compare Kimi K2.7 Code from moonshotai and Inkling from thinkingmachines on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


Kimi K2.7 Code and Inkling are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Kimi K2.7 Code, from moonshotai, has a 262,144-token context window and is priced at $0.6712/M tokens input, $3.35/M tokens output on OpenRouter.
Inkling, from thinkingmachines, has a 524,288-token context window and is priced at $0.95/M tokens input, $4.05/M tokens output on OpenRouter.
| Attribute | Kimi K2.7 Code | Inkling |
|---|---|---|
| Input price | $0.6712/M tokens | $0.95/M tokens |
| Output price | $3.35/M tokens | $4.05/M tokens |
| Context window | 262,144 tokens | 524,288 tokens |
| Intelligence Index | 25.8 | 25.0 |
| Coding Index | 60.8 | 52.1 |
| Agentic Index | 21.0 | 22.5 |
| Latency (p50) | 0.70 s | 0.85 s |
| Throughput (p50) | 79.0 tok/s | 67.5 tok/s |
Benchmark data updated
Kimi K2.7 Code is cheaper than Inkling on OpenRouter: Kimi K2.7 Code costs $0.6712/M tokens input and $3.35/M tokens output, while Inkling costs $0.95/M tokens input and $4.05/M tokens output.
Inkling has the longer context window at 524,288 tokens, compared with 262,144 tokens for Kimi K2.7 Code.
Kimi K2.7 Code is faster on OpenRouter, generating a median 79.0 tokens per second compared with 67.5 tokens per second for Inkling.
Kimi K2.7 Code scores higher on coding, with an Artificial Analysis Coding Index of 60.8 compared with 52.1 for Inkling.