LLM Reference

Kimi K2.7-Code

Released
2026-06-12
Last refreshed
2026-06-25
Status
Researched 78d ago
Open sourceCommercial use: permittedMultimodalCodingRAGAgentsLong 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 2 tracked provider routes

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
MITOSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Created by

Lossless long-context AI innovation

Beijing, China
Founded 2023
Website
Pricing
Output / 1M
$3.07
Input / 1M
$0.612

Cheapest of 2 routes · OpenRouter · cache read $0.1296

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.

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 all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
OpenRouter$0.612$3.07read $0.1296
Serverless
Moonshot AI Kimi$0.950$4.00read $0.190
Serverless

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

Benchmark peer barsfor Coding

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

Benchmark scores(8)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
Kimi Code Bench v262.0official, Moonshot-reportedObserved 2026-06-12Source
Program Bench53.6official, Moonshot-reportedObserved 2026-06-12Source
MLS Bench Lite35.1official, Moonshot-reportedObserved 2026-06-12Source
Kimi Claw 24/7 Bench46.9official, Moonshot-reportedObserved 2026-06-12Source
MCP-Atlas76.0official, Moonshot-reportedObserved 2026-06-12Source
MCP Mark Verified81.1official, Moonshot-reportedObserved 2026-06-12Source
GeneBench-Pro2.3reasoning_enabledObserved 2026-06-30Source
CursorBench49.7CursorBench 3.2Observed 2026-07-18
Configuration: Kimi K2.7 Code
Harness: CursorBench 3.2 productized Cursor-agent workflow
Evaluator: Cursor
Confidence: confirmed
Cost/task: $1.43
Tokens/task: 31,247
Steps/task: 58
Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful.
Source

Migration checks

No linked migration route is available for this model yet.