LLM Reference

Kimi K2.7-Code

Released
2026-06-12
Last refreshed
2026-06-14
Status
Researched today
Open SourceCommercial use allowedMultimodalCodingRAGAgentsLong contextVisionJSON / Tool use

Kimi K2.7-Code is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 262k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
Kimi K2
Released
2026-06-12
Context
262k
Max output
65,536
Parameters
1T
Architecture
Mixture of Experts
Specialization
code
Openness
Open source
License
MIT(OSI)Commercial use allowed
Created by

Lossless long-context AI innovation

Beijing, China
Founded 2023
Website
Pricing
Output / 1M
$4.00
Input / 1M
$0.950

Cheapest of 1 route · Moonshot AI Kimi · cache read $0.190

About

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.

Kimi K2.7-Code is an open-source model in the Kimi K2 family. The structured metadata tracks a 262k-token context window, multimodal input, reasoning, function calling, tool use, and structured outputs. This page tracks provider routes through Moonshot AI Kimi, with the cheapest tracked route listed at $0.95 input and $4 output per 1M tokens. No headline benchmark score is tracked for Kimi K2.7-Code yet.

Top use-case fit: coding, agents, and build tasks

Coding

Included by capability and metadata signals in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Moonshot AI Kimi$0.950$4.00read $0.190
Serverless

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsPrompt Caching

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.