Kimi K2.7 Code: price, context window and capabilities
Kimi K2.7 Code is a model from Moonshot AI (moonshotai/kimi-k2.7-code). It supports reasoning. It supports tool use. It costs $0.671 per million input tokens and $3.35 per million output tokens, with a 262K-token context window.
What it costs in practice
Using the listed prices: a chat turn of 2,000 input and 500 output tokens costs about $0.0030, so 10,000 such turns cost about $30.17. Summarising a 100,000-token document into 2,000 tokens costs about $0.074. A long agent run that reads 1 million tokens and writes 50,000 costs about $0.839.
How it compares
Among the 40 models we track, Kimi K2.7 Code ranks #20 by input price and #20 by output price (1 is cheapest), and #31 by context window (1 is largest). Models with the same tool and reasoning support that cost less per output token: DeepSeek V4 Pro 0423 ($0.418), Qwen3.8 Omni Flash ($0.470), Qwen3.8 Flash ($0.470), GPT-6 Luna Pro ($0.500). Models with a larger context window at the same or lower output price: Llama 4 Scout (1.3M), GPT-6 Luna Pro (1.1M), GPT-6 Luna (1.1M), Gemini 3.5 Flash Lite (1.0M).
More from Moonshot AI
- Kimi K3: $0.720 in / $13.00 out, 1.0M context
- Kimi K2.6: $0.950 in / $4.00 out, 262K context
- Kimi K2.5: $0.450 in / $2.25 out, 262K context
Prices and limits come from OpenRouter's public model catalogue, last synced 4 Oct 2026. Provider pricing can differ from OpenRouter's and changes often; confirm on the provider's own page before you commit. See the guide to choosing a model or the full comparison.
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