Moonshot AI logo

Kimi K2.7 Code

Multimodal
Moonshot AI

Kimi K2.7 Code is Moonshot AI's coding-focused agentic model built on Kimi K2.6. It improves real-world long-horizon coding task completion, instruction following, and token efficiency while reducing thinking-token usage by approximately 30% versus Kimi K2.6. The model uses a native multimodal Mixture-of-Experts architecture with 1T total parameters, 32B activated parameters, a 256K-token context window, image and video input support, and forced thinking with preserve_thinking enabled for multi-turn coding agent workflows. It is served by deepinfra, fireworks, moonshot, novita, together with a 256K-token context window at $0.68 / $3.4 per 1M input/output tokens.

Key Specifications

Parameters
1.0T
Context
262.1K
Release Date
June 12, 2026
Average Score
54.2%

Timeline

Key dates in the model's history
Announcement
June 12, 2026
Last Update
September 12, 2026
Today
September 19, 2026

Technical Specifications

Parameters
1.0T
Training Tokens
-
Knowledge Cutoff
-
Family
-
Fine-tuned from
kimi-k2.6
Capabilities
MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)
$0.95
Output (per 1M tokens)
$4.00
Max Input Tokens
262.1K
Max Output Tokens
131.1K
Supported Features
Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning

Benchmark Results

Model performance metrics across various tests and benchmarks

Other Tests

Specialized benchmarks
DeepSWE 1.1
DeepSWE v1.1 leaderboard, mini-swe-agent harness; Pass@1 31% ± 1%.Verified
31.0%
FrontierCode 1.1
FrontierCode 1.1 current leaderboard; mergeability score: 30.1%.Verified
30.1%
Kimi Claw 24/7 Bench
OpenClaw harness, average pass rate over 610 evaluation points and 3 runsSelf-reported
46.9%
Kimi Code Bench v2
Kimi Code CLI, thinking mode, temperature 1.0, top_p 0.95, 262144-token contextSelf-reported
62.0%
LiveBench
2026-01-08Verified
71.9%
MCP Atlas
Official MCP-Atlas configuration, 100 tool-call budget, 32k max tokens per step, averaged over 3 runsSelf-reported
76.0%
MCP-Mark
Verified; 100-step tool-call budget and 32k max tokens per step, averaged over 3 runsSelf-reported
81.1%
MLS-Bench Lite
Kimi Code CLI, thinking mode, temperature 1.0, top_p 0.95, 262144-token contextSelf-reported
35.1%
Program Bench
Kimi Code CLI, thinking mode, temperature 1.0, top_p 0.95, 262144-token contextSelf-reported
53.6%

License & Metadata

License
modified_mit_license
Announcement Date
June 12, 2026
Last Updated
September 12, 2026

Similar Models

All Models

Recommendations are based on similarity of characteristics: developer organization, multimodality, parameter size, and benchmark performance. Choose a model to compare or go to the full catalog to browse all available AI models.