MoonshotAI: Kimi K2 0711
By Moonshotai
Released: 2025-07-11
Moonshotai Kimi K2 features MoE architecture and 131k-token context window. 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 optimised 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. Premium pricing at $0.5/1M tokens reflects its advanced capabilities.
Visit MoonshotAI: Kimi K2 0711AI-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
Optimized for programming tasks, this model excels at code generation, debugging, and software engineering workflows with solid benchmark performance.
Pros
- 131k 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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