Intelligence index
Outperforms 38% of compared models
Kimi K2 0711
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. Kimi K2 excels across a broad range of benchmarks, particularly in coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) tasks. It supports long-context inference up to 128K tokens and is designed with a novel training stack that includes the MuonClip optimizer for stable large-scale MoE training.
- Input / output price
- $0.57/$2.3per 1M tokens
- Context
- 131K
- Released
- 2025-07-11
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
UI Component
1025Elo
Win rate 55.1%
Data Visualization
1018Elo
Win rate 49.4%
Code Categories
1032Elo
Win rate 51.7%
Website
1050Elo
Win rate 53.1%
Game Development
974Elo
Win rate 46.4%
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