Kimi K2 is Moonshot AI's groundbreaking 1 trillion parameter Mixture-of-Experts (MoE) model with 32 billion activated parameters. Pre-trained on 15.5 trillion tokens with zero training instability using the novel MuonClip Optimizer, it achieves state-of-the-art performance in knowledge, math, and coding among non-thinking models. The API is fully OpenAI and Anthropic-compatible, making integration straightforward for existing projects. Both code and model weights are released under a Modified MIT License.
Key Statistics
1T
Total parameters
Source: Moonshot AI 2026
32B
Activated parameters per inference
Source: Moonshot AI 2026
256K
Context window tokens
Source: Moonshot AI 2026
60.2%
BrowseComp benchmark score
Source: Kimi K2 Paper
99.1%
AIME 2025 (with Python)
Source: Kimi K2 Paper
Key Features
kimi k2 api offers these core capabilities:
- → 1 trillion total parameters with 32B activated (MoE architecture)
- → 256K token context window for extensive codebases
- → OpenAI and Anthropic-compatible API endpoints
- → Strong agentic capabilities with up to 100 sub-agents for parallel tool execution
- → Multimodal support for screenshots, UI designs, and short videos
- → Stable tool-use across 200-300 sequential calls
- → MIT-style license for open commercial use
Use Cases
Here are the most common ways people use kimi k2 api:
- → Complex coding tasks with full codebase context
- → Agentic workflows requiring multi-step tool use
- → Multimodal processing of screenshots and designs
- → Integration with OpenClaw for powerful AI assistant capabilities
- → Cost-effective alternative to Claude 3.5 Sonnet or GPT-4o
Getting Started
Follow these steps to set up kimi k2 api:
- → Get your API key from platform.moonshot.ai
- → Set base URL to https://api.moonshot.ai/v1
- → Use model ID 'kimi-k2.5' for latest version
- → Set recommended temperature to 0.6 for best results
- → Test with OpenAI SDK - just change base URL and key
Official Resources
Key Takeaways
- → 1 trillion total parameters with 32B activated (MoE architecture)
- → 256K token context window for extensive codebases
- → OpenAI and Anthropic-compatible API endpoints
- → Strong agentic capabilities with up to 100 sub-agents for parallel tool execution
Related Searches
Frequently Asked Questions
How does Kimi K2 compare to GPT-4 and Claude?
Kimi K2 performs competitively, often matching or exceeding proprietary models in coding and multilingual tasks. The K2.5 version claims to outperform GPT-5.2 on several benchmarks. It's significantly more cost-effective while offering comparable quality.
Can I use Kimi K2 with OpenClaw?
Yes, configure OpenClaw's ~/.openclaw/openclaw.json with the Moonshot provider settings: set baseUrl to 'https://api.moonshot.ai/v1' and your API key. The OpenAI-compatible API makes integration seamless.
Is there a free tier for Kimi K2?
Moonshot AI offers initial credits for new users. For extended free access, you can use OpenRouter's free tier with Kimi K2 or run the quantized GGUF weights locally using llama.cpp.
What's the difference between K2 and K2.5?
Kimi K2.5 is derived from K2-Base with additional training. K2.5 is better at processing multimodal files like charts and generally scores higher on benchmarks. Use K2.5 for most applications.
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