What does Kimi K2 do?

Kimi K2 is an AI chat platform from Moonshot AI that provides access to the Kimi K2.5 model for tasks like chatting, research, coding, file analysis, web search, and multimodal inputs with a 256K token context window.

Who is Kimi K2 best for?

Kimi K2 is best for casual users, researchers, daily power users, professionals handling work tasks in Chinese or English, and developers needing research, coding, or agentic workflows.

Do I need to install anything to use Kimi K2?

No, you do not need to install anything. Access Kimi K2 through its web chat interface at kimi.com by creating an account with email or phone.

Does Kimi K2 offer a free trial or demo?

Yes, all paid plans include a 7-day free trial with no credit card required.

Does Kimi K2 offer an API or integrations?

Yes, Kimi K2 offers an API with pay-as-you-go pricing starting at $0.60 per 1M input tokens and $2.50-$3.00 per 1M output tokens, available directly or via providers like OpenRouter and Together AI.

How do I contact Kimi K2 support?

Contact Kimi K2 support through their platform at kimi.com after signing up, or send a mail to support@moonshot.cn

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Kimi K2

AI Infrastructure & MLOps+1Software Development

A multimodal AI model for developers and researchers that supports long-context reasoning, agentic tool use, and local or API deployment for complex tasks.

Available Via:WebAPIChat Based

Visit Kimi K2

Kimi K2 is a multimodal AI model by Moonshot AI for developers, researchers, and AI enthusiasts who need long-context reasoning, coding help, and agentic task execution via web chat, API, or local deployment.

Key capabilities include:

Native vision and language support for visual analysis and cross-modal reasoning, including visual coding that can generate code (for example, React/HTML) from UI mockups, images, or video-based workflows
Agentic modes for autonomous work, including an Agent mode designed for extended workflows with 200 to 300 tool calls, and Agent Swarm coordination for up to 100 parallel agents
256K context window for long-document analysis and extended sessions with fewer context resets
Local deployment options with community tooling support, including recommended inference engines such as vLLM, SGLang, KTransformers, and TensorRT-LLM

Pricing: Paid plans include Starter ($9/month + 10M credits monthly), and Ultra ($49/month + 70M tokens monthly).

Notable for its Mixture-of-Experts design (1T total parameters, 32B active per request), Multi-Head Latent Attention to make 256K context more efficient on standard GPUs, and open-source availability (Modified MIT License) with Base and Instruct variants for customization or chat and agent use.

TransparencySee listing history, review integrity, and health signals

Feature:AI Agents Code Generation Document Analysis Prompt Engineering

Use Case:Writing Code Docs

Audience:Developers Researchers

Pricing:Subscription