K
Kimi K2.7 Code
Scores reviewed 2026-07-17Prices checked 2026-10-25Moonshot AI
- OpenRouter
- moonshotai/kimi-k2.7-code
- Context
- 262K
- Price per 1M
- $0.67 in / $3.35 out
- Tooling
- 5/5
- Deploy
- Cloud API
Monthly cost, worked example
| Input | 667,000 tokens × $0.67 per 1M | $0.45 |
|---|---|---|
| Output | 333,500 tokens × $3.35 per 1M | $1.12 |
| Total | ~$1.56/mo |
667 requests a month at 1,000 input and 500 output tokens each, about 1M tokens. The recommender uses the same assumption when you don't give your own usage.
Best for
- Agentic workflows and tool calling
- Writing and editing code
- Long documents (~262K context)
- Cost-sensitive, high-volume workloads
Skip if
- You need a specialized, domain-tuned model
Capability scores
Tool calling5/5
Tooling (1-5): how reliably the model calls tools and follows multi-step instructions. Editorial score from LMFinder, not a benchmark.
Multi-step reasoning4/5
Specifications
- Context window
- 262K tokens
- VRAM
- N/A (cloud-hosted)
- License
- modified-mit
- Pricing
- $0.67 in / $3.35 out per 1M
- Deployment
- Cloud API
- Docs
- Model docs ↗
Our take
Kimi K2.7 Code from Moonshot AI offers a 262K-token context window and is well-suited to strong tool calling, multi-step reasoning, coding, long-context work. Pricing is $0.67 in / $3.35 out per 1M, billed per token through the provider API.
It is a balanced pick with no major caveats for most use cases. License: modified-mit.
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