Intelligence index
Outperforms 70% of compared models
Kimi K2.7 Code
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts architecture that accepts text and image input, and it always operates in a thinking mode, preserving full reasoning content across multi-turn conversations. With a 256K-token context window, it targets long-horizon coding, agentic task decomposition, and multi-turn dialogue. The model activates 32B parameters out of roughly 1T total.
- Input / output price
- $0.56/$3.1per 1M tokens
- Context
- 262K
- Released
- 2026-06-12
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 72% of compared models
Agentic index
Outperforms 56% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Asciiart
1193Elo
Win rate 48.3%
Website
1262Elo
Win rate 51.2%
3D
1237Elo
Win rate 50.3%
UI Component
1253Elo
Win rate 50.5%
Code Categories
1251Elo
Win rate 49.8%
SVG
1173Elo
Win rate 44%
Game Development
1220Elo
Win rate 46.9%
Data Visualization
1224Elo
Win rate 48.3%
Agent Arena
Htmlslides
1097Elo
Win rate 53.6%
Godotgamedev
1147Elo
Win rate 49.2%
Agenticgamedev
1093Elo
Win rate 43%
Fullstack
1175Elo
Win rate 50.9%
Python-pptxslides
1108Elo
Win rate 44.6%
Androidnative
1136Elo
Win rate 46%
Webapps
1176Elo
Win rate 46.9%
Mobile Apps
1141Elo
Win rate 46.2%
Related Models
Kimi K3.1 Pro
moonshotaiKimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, with native image and video understanding.
- Context
- 1.0M
- Max output
- 943.7K
- Released
- 2026-10-23
- Input
- $2/M
- Output
- $10/M
- Cache read
- $0.2/M
Kimi K3
moonshotaiKimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at navigating large repositories, using tools, debugging, and iterating against images, logs, tests, and runtime feedback. Its architecture uses KDA and Attention Residuals for computational efficiency.
- Context
- 1.0M
- Max output
- 943.7K
- Released
- 2026-07-16
- Input
- $0.159/M
- Output
- $11.5/M
- Cache read
- $0.149/M
Kimi K2.6
moonshotaiKimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight.
- Context
- 262K
- Max output
- 235.9K
- Released
- 2026-04-20
- Input
- $0.65/M
- Output
- $3.41/M
- Cache read
- $0.15/M