Kimi K2 — Moonshot AI’s Next-Gen Agentic Intelligence
Kimi K2 is Moonshot AI’s breakthrough trillion-parameter Mixture-of-Experts (MoE) model, built for deep reasoning, long-form context, and autonomous tool use.
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Kimi K2 AI Benchmark Performance & Features
Kimi K2 blends scale, reasoning prowess, and tool-enabled autonomy to extraordinary performance.
Trillion-Parameter Sparse Architecture
Kimi K2 employs a mixture-of-experts design with 1 trillion total parameters, but only activates ~32 billion per token via expert routing. This provides massive capacity without incurring the full inference cost, enabling deep knowledge.
Ultra-Long 128K Context Window
With a 128,000-token context length, the Kimi K2 model can process entire books, lengthy codebases, or multi-document conversations in a single pass. This makes it ideal for tasks that require sustained memory.
Agentic & Reasoning Performance
On key evaluations, Kimi K2 achieves 71.6% on SWE-bench (coding), 65.8% on agentic task benchmarks, and 53.7% on LiveCodeBench v6. Kimi K2 Thinking goes even further (44.9% on Humanity’s Last Exam).
Work with Massive Documents Easily
Feed Kimi K2 long text, huge reports, or extended conversations, and it will keep every detail in context. Thanks to its long-window memory, you don’t have to break up your work into smaller chunks.
Kimi K2 Model’s Powerful Capabilities
Moonshot AI Kimi K2 is engineered to be smart, efficient, and deeply capable.
Huge Expert Network
Uses 384 “experts” but only activates a few at a time, giving huge knowledge without massive slowdowns.
Stable Training
Trained using the MuonClip optimizer, which prevents the training from becoming unstable even at massive scale.
Handles Long Texts
Can read and work with super long documents (up to 128,000 tokens), so nothing gets cut off.
Open-Source License
Released under a modified MIT license, meaning it’s free to use, adapt, and integrate for many kinds of projects.
Built for Action
Designed to call tools, run code, and make decisions — not just chat, but do.
Top Coding Skills
Performs very well on coding benchmarks, making it a great helper for programming.
Understands Multiple Languages
Trained with a massive dataset, so it handles many languages and domains smoothly.
Efficient Memory Use
Even with trillion-parameter model, it only uses about 32 billion per inference, making it cheaper to run.
Autonomous Problem Solving
Built to plan, evaluate, and act on complex tasks with minimal human help — ideal for multi-step workflows.
Frequently Asked Questions
Still got questions? Learn more about how Kimi K2 operates.