Hello, Welcome to Kimi K2
Kimi K2, developed by Moonshot AI, is a next-generation, trillion-parameter large language model that pushes the boundaries of what open-weight AI models can achieve. With a Mixture-of-Experts (MoE) architecture and capabilities that rival or surpass proprietary models like GPT-4, Kimi K2 stands out as a leading solution for developers, researchers, and enterprises seeking state-of-the-art AI performance in an open ecosystem.
What is Kimi K2?
Kimi K2 is a Mixture-of-Experts language model featuring:
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1 trillion total parameters
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32 billion activated parameters per inference
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128,000-token context window
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Open-weight release with licensing for commercial-scale use
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Kimi-K2-Base:Ideal for fine-tuning and custom research.
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Kimi-K2-Instruct:Instruction-tuned for agentic workflows, code generation, and autonomous tool use.
It comes in two variants:
Key Features of Kimi K2
| Feature | Specification |
|---|---|
| Architecture | Mixture-of-Experts (MoE) |
| Total Parameters | 1 trillion |
| Activated Parameters | 32 billion |
| Experts | 384 (8 activated per token) |
| Layers | 61 (1 dense) |
| Attention Heads | 64 |
| Context Window | 128,000 tokens |
| Training Data | 15.5 trillion tokens |
| Optimizer | MuonClip |
| Formats | block-fp8 (Hugging Face), API (JSON) |
| Model Variants | Base, Instruct |
| Open Weight License | Yes (with commercial display clause) |
Features of Kimi K2
Kimi K2 is a state-of-the-art, open-weight Mixture-of-Experts (MoE) language model developed by Moonshot AI, designed for performance, scalability, and agentic intelligence. Its core features include:
Massive Scale
With 1 trillion total parameters and 32 billion activated per inference, Kimi K2 delivers powerful capabilities while maintaining computational efficiency.
MoE Architecture
Employs 384 experts, dynamically selecting 8 per token plus 1 shared expert, across 61 layers, 64 attention heads, and an attention hidden size of 7168 for specialized and scalable computation.
Long Context Window
Supports up to 128,000 tokens per input, enabling deep understanding of long documents, complex codebases, and extended conversations.
Advanced Training Stability
Trained on 15.5 trillion tokens with zero instability, thanks to the MuonClip optimizer, which stabilizes attention mechanisms and prevents performance degradation.
Agentic Intelligence
Built for autonomous reasoning, tool use, multi-step task execution, and code synthesis, making it ideal for reflex-grade, real-world AI agents.
Benchmark-Leading Performance
Achieves top-tier results in key benchmarks: MMLU (87.8%)
MATH (70.2%)
LiveCodeBench (53.7%)
GSM8k (92.1%)
EvalPlus (80.3%)
Model Variants
Kimi-K2-Base: For fine-tuning and research.
Kimi-K2-Instruct: Tuned for general-purpose conversation and agentic tasks.
Developer-Friendly Access
Offers open weights, API access compatible with OpenAI and Anthropic formats, and seamless integration into modern AI workflows.
Agentic Intelligence & Capabilities
Kimi K2 is designed for agentic automation, meaning it can perform:
These capabilities position it as a leader in reflex-grade AI applications, especially where independence and decision-making are critical.
How to Use Kimi K2
Kimi K2 is a powerful AI model that can be accessed and integrated through multiple methods, depending on your technical needs and use case. Here’s how you can start using it:
Kimi AI Pricing
Kimi AI offers flexible pricing for individuals, teams, and developers. It’s free to use on web and mobile with basic features, while paid plans ($9.99–$49.99/month) unlock advanced tools and higher usage caps. Its API is affordably priced at $0.60 per 1M input tokens and $2.50 per 1M output tokens, with discounts for cached usage. All plans support long-context inputs up to 128,000 tokens.
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Free Tier: $0
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Individual Pro: $9.99–$19.99
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Professional: $29.99–$49.99
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Enterprise: Custom Pricing
Kimi AI K2
Kimi AI K2 is the flagship large language model developed by Moonshot AI, designed to push the boundaries of open agentic intelligence. Leveraging a mixture-of-experts (MoE) architecture and a context window of up to 128,000 tokens, Kimi K2 is optimized for tasks involving complex reasoning, tool use, long-form understanding, and code generation.
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Agentic CapabilitiesKimi K2 can autonomously decide which tools to use and how to apply them to achieve user-defined goals, making it ideal for automated workflows, research analysis, software development, and even multi-step planning tasks.
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Multimodal ReadyWhile current vision capabilities are limited, Kimi K2 is designed with future multimodal support in mind for integrating image, code, and document understanding.
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Two Model VariantsKimi-K2-Base: A foundational model optimized for fine-tuning and internal adaptation.Kimi-K2-Instruct: Tailored for interactive tasks like chat, agent-driven queries, and structured document reasoning.
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Efficient & Scalable:Powered by the MuonClip optimizer, Kimi K2 ensures training stability and superior token efficiency, outperforming previous models like DeepSeek and Claude on benchmarks for reasoning, STEM, and agentic coding.
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Tool Use & Reinforcement LearningTrained on large-scale simulated environments with reinforcement learning, Kimi K2 excels at combining logic, language, and action—enabling it to operate autonomously in terminal environments, code editors, and complex analytics pipelines.
Frequently Asked Questions About Kimi K2
Have another question? Contact us through our official channels.
What is Kimi AI?
Kimi AI is an advanced AI assistant developed by Moonshot AI, designed for high-performance reasoning, natural language processing, and multi-modal interactions. It offers features like long-context understanding, real-time answering, and agentic task execution, making it suitable for both casual users and enterprise applications.
What is an Example Use Case of Kimi AI?
One popular use case of Kimi AI is in academic research assistance. A user can upload entire PDFs or datasets, and Kimi will summarize key findings, generate citations, or even critique methodologies—greatly enhancing productivity for students and researchers.
What Makes Kimi AI Unique Compared to Other AI Assistants?
Kimi AI stands out with:
Ultra-Long Context Window (over 2 million tokens) for deep, coherent conversations and document understanding.
Agentic Automation Capabilities allowing Kimi to reason, plan, and execute multi-step tasks autonomously.
Privacy-focused Design with local data processing options.
Fluent Multimodal Understanding combining text, image, and code inputs for versatile use.
How is Kimi AI Used in Real-World Applications?
In real-world settings, Kimi AI powers:
Customer Service Agents that autonomously resolve support tickets.
Legal Tech Platforms that parse and interpret complex legal documents.
Finance and Investment Research where it scans and analyzes large market reports or earnings data.
Healthcare for summarizing clinical notes and patient histories with strict data handling protocols.
How Does Kimi AI Enable Agentic Automation?
Kimi AI is designed to function as an Open Agentic Intelligence (K2) system. It can:
- Autonomously break down tasks into subtasks.
- Invoke external tools or APIs to fetch or process data.
- Use memory to iterate on tasks until completion—just like a human agent.
Example: Instead of just generating an email, Kimi can draft, refine, attach relevant documents, and schedule it to be sent.
How Does Kimi AI Perform on Benchmarks?
Kimi AI ranks highly on several public NLP and reasoning benchmarks:
- MMLU, HumanEval, and GSM8K: Kimi K2 achieves top-tier results comparable to GPT-4 and Claude 3.
- Multimodal Benchmarks: It handles image-to-text reasoning on par with state-of-the-art multimodal models.
- Its code interpretation and document QA capabilities have received strong reviews from academic and developer communities.
What Are the Limitations of Kimi AI?
Despite its strengths, Kimi AI has a few known limitations:
- Limited Tool Integration in public versions compared to private enterprise access.
- Chinese-first Optimization (due to Moonshot’s roots), so certain Western datasets may perform better in other LLMs.
- Memory Persistence and long-term task chaining are still evolving.
- Limited English community documentation compared to tools like OpenAI or Anthropic.
What Are the Future Plans for Kimi AI?
Moonshot AI has ambitious goals for Kimi, including:
- Expanding Developer Access via a public API and agentic SDKs.
- Full Multilingual Support with enhanced cultural context awareness.
- Open Tool Plugin Ecosystem to allow third-party integrations.
- On-Device Kimi Models for privacy-focused edge applications.
- Further development of Kimi K2, a flagship Open Agentic Intelligence model designed for enterprise-grade autonomous AI.
Kimi K2 Is Here to Redefine Intelligence
Embrace the future of autonomous problem-solving with cutting-edge agentic AI.