MoonshotAI: Kimi K2 Thinking
By Moonshotai
Released: 2025-11-06
Moonshotai Kimi K2 Thinking features MoE architecture and 262k-token context window. Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in Kimi K2, it activates 32 billion parameters per forward pass and supports 256 k-token context windows. The model is optimised for persistent step-by-step thought, dynamic tool invocation, and complex reasoning workflows that span hundreds of turns. It interleaves step-by-step reasoning with tool use, enabling autonomous research, coding, and writing that can persist for hundreds of sequential actions without drift. It sets new open-source benchmarks on HLE, BrowseComp, SWE-Multilingual, and LiveCodeBench, while maintaining stable multi-agent behaviour through 200–300 tool calls. Built on a large-scale MoE architecture with MuonClip optimization, it combines strong reasoning depth with high inference efficiency for demanding agentic and analytical tasks. Available at $0.4/1M tokens.
Visit MoonshotAI: Kimi K2 ThinkingAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Moonshotai Model Timeline
262k tokens context
262k tokens context
262k tokens context
33k tokens context
131k tokens context
131k tokens context
Specifications
AI Evaluation
Combines language understanding with search capabilities. Excels at finding and synthesizing information from various sources.
Pros
- 262k token context window
- Strong code generation and debugging
- Advanced logical reasoning
- Agent-ready with tool use
Cons
- May lack creative flair
- API integration required
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