LLM Reference
OpenRouter

Using Kimi K2.7-Code on OpenRouter

Implementation guide · Kimi K2 · Moonshot AI

ServerlessOpen Source

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call moonshotai/kimi-k2.7-code — see the documentation for request format.
  3. 3
    You'll be billed $0.61/1M input, $3.07/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

About OpenRouter

OpenRouter provides a unified interface for Large Language Models with better pricing, improved uptime, and no subscription requirements. Route across providers for cost optimization and reliability.

OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.61
Output tokens$3.07
Image input$1.00

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsPrompt Caching

About Kimi K2.7-Code

Kimi K2.7-Code is Moonshot AI's coding-focused multimodal model released June 12, 2026, built on Kimi K2.6. Uses the same 1-trillion-parameter MoE architecture (32B active parameters, 384 experts with 8 selected per token, 61 layers) with a 262K context window and MoonViT vision encoder (400M parameters). Reports +21.8% on Moonshot's Kimi Code Bench v2, +11.0% on Program Bench, +31.5% on MLS Bench Lite versus K2.6, with approximately 30% fewer reasoning tokens. Forces thinking mode on by default and preserves reasoning content across multi-turn interactions for agentic use. Available via Kimi platform API and HuggingFace under Modified MIT license.

Model Specs

Released2026-06-12
Parameters1T
Context262k
ArchitectureMixture of Experts

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA