Kimi AI - Now with K2

Kimi AI - Now with K2

Kimi K2 is an open-source trillion-parameter MoE AI model developed by Moonshot AI that excels in advanced coding, reasoning, and agentic capabilities with a 256K context window and ability to handle multiple tools.
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Kimi AI - Now with K2

Product Information

Updated:Nov 13, 2025

What is Kimi AI - Now with K2

Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model developed by Chinese startup Moonshot AI. It features 1 trillion total parameters with 32 billion activated parameters per inference, trained using the innovative Muon optimizer. The model is available in two main versions - K2 Base for researchers and builders, and K2 Thinking which is specifically optimized for reasoning and autonomous problem-solving. As an open-source model released under a modified MIT license, it achieves exceptional performance across frontier knowledge, math, coding tasks while being meticulously designed for agentic capabilities.

Key Features of Kimi AI - Now with K2

Kimi K2 is a state-of-the-art open-source AI model featuring 1 trillion total parameters with 32 billion activated parameters. It excels in reasoning, coding, and agentic capabilities, offering a 256K context window and the ability to execute 200-300 sequential tool calls without human intervention. The model integrates advanced features like real-time web search across 100+ websites, file analysis, and autonomous problem-solving capabilities, all while being more cost-effective than competitors at $4.6M training cost.
Advanced Parameter Architecture: Utilizes a Mixture-of-Experts (MoE) architecture with 1 trillion total parameters and 32 billion activated parameters, enabling sophisticated reasoning and processing capabilities
Extensive Context Processing: Features a 256K context window allowing handling of up to 200,000 words in a single conversation for deep, detailed discussions
Autonomous Tool Integration: Capable of executing 200-300 sequential tool calls without human intervention, enabling complex multi-step task completion
Cost-Efficient Performance: Achieves state-of-the-art performance while maintaining cost efficiency through INT4 quantization and optimized architecture, trained for only $4.6M

Use Cases of Kimi AI - Now with K2

Advanced Software Development: Excels in coding tasks with strong performance on coding benchmarks, offering assistance in software engineering and development
Research and Analysis: Conducts comprehensive research across multiple websites and analyzes various file formats including PDFs, Documents, and Presentations
Content Creation: Assists in creating presentations, websites, and visual content through its AI-powered tools and creative capabilities
Autonomous Workflow Management: Handles complex workflows from product planning to interaction design through its Agent Mode feature

Pros

Open-source availability with MIT license
Cost-effective compared to competitors
Strong performance in reasoning and coding tasks
Extensive tool integration capabilities

Cons

Limited mobile device functionality
Needs more features and integrations
Chat interface requires improvements
Performance may vary in chat mode compared to benchmark scores

How to Use Kimi AI - Now with K2

Create Account: Log in to Kimi AI using your Google account to get started with 100 free credits
Access the Platform: Go to kimi.ai or download the Kimi mobile app to access the platform
Choose Subscription Plan (Optional): Select from three subscription tiers - Moderato, Allegretto, or Vivace - for additional features like K2 Turbo access and higher usage limits. The basic version is free to use with rate limits
Set Up API Access (Optional): For API access: 1) Log in to Moonshot console 2) Add payment details (~$5 + $5 voucher) 3) Create API key under API Keys tab 4) Save API key for future use
Start Using Features: Access key features including: 200k context window, ability to analyze up to 50 files (PDFs, Docs, PPTs), OK Computer agent mode, coding assistance, content creation, and presentation generation
Follow Best Practices: For optimal results: 1) Use clear, specific prompts 2) Iterate and refine queries 3) Cross-check information for accuracy 4) Leverage multiple domains 5) Balance AI insights with personal expertise
Explore Advanced Options: For developers/researchers: Access model weights on Hugging Face, run locally with sufficient hardware (250GB+ combined RAM/VRAM recommended), or use quantized versions for lower resource requirements

Kimi AI - Now with K2 FAQs

Kimi K2 is an open-source Mixture-of-Experts (MoE) AI model with 1 trillion total parameters (32B activated) developed by Moonshot AI. It's currently considered the best non-reasoning open source model available.

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