Kimi AI | Multimodal LLM with Agent Swarm & 256K Context

Last updated: 2026-06-14

Kimi by Moonshot AI: frontier multimodal LLM with native vision, 256K context, Agent Swarm technology. MMLU 92.0, HumanEval 99.0. $0.60/$2.50 per M tokens.

Kimi K2.6 by Moonshot AI is a 1-trillion-parameter open-source AI with a 256K context window, starting free or $0.60 per million input tokens via API. K2.6 (April 2026) adds Office Pilot for lossless PPT/Word/Excel/PDF conversion, K2.6 Thinking for complex reasoning, and Agent Swarm with 300 sub-agents running 4.5x faster in parallel.

About Kimi

Kimi is a frontier-class AI assistant developed by Moonshot AI, featuring a native multimodal architecture that seamlessly integrates visual and text understanding with advanced agentic capabilities. Built on the Kimi K2.5 model with 1 trillion total parameters (32 billion activated) using a Mixture-of-Experts architecture, Kimi excels at complex reasoning, coding, document analysis, and autonomous multi-step tasks. The platform offers both a consumer-facing chat interface and a developer API, with support for thinking modes, instant responses, Agent Swarm technology for parallel task execution, and extended context windows up to 256K tokens. Kimi differentiates itself through aggressive pricing (starting at $0.60/$2.50 per million tokens for API), automatic context caching that reduces costs by 75%, and exceptional benchmark performance across MMLU (92.0), HumanEval (99.0), and mathematical reasoning tasks. The platform natively supports vision inputs through its MoonViT-3D vision encoder, enabling visual coding from UI designs and video demonstrations. Kimi's Agent Swarm feature enables self-directed, coordinated task decomposition and parallel execution across dynamically instantiated domain-specific agents. The tool is positioned as an open-source model under a Modified MIT license, making it suitable for researchers, developers, enterprises, and individual users seeking cost-effective frontier-quality AI capabilities with enterprise-grade reasoning, coding, and visual understanding.

Pricing

Free tier (Adagio) with unlimited basic chat but limited agent usage. Consumer subscriptions: Andante $19/month (¥49 CNY), Moderato/Allegretto $39-79/month (¥99-199 CNY), Vivace $159-199/month. API pricing: $0.60 per million input tokens, $2.50 per million output tokens; cached input tokens $0.15/M (75% discount). Turbo model: $1.15/$8.00/M. Automatic $5 voucher when cumulative recharge reaches $5.

Key Features

• Kimi K2.6 with Office Pilot: K2.6 (April 2026) introduces K2.6 Thinking for step-by-step math and logic, Office Pilot for lossless conversion across PPT/Word/Excel/PDF with auto-generated formulas, and support for analyzing 50 files at once.
• Native Multimodality: Pre-trained on vision and language tokens with advanced visual understanding, enabling code generation from UI designs and visual task comprehension
• Agent Swarm (300 Sub-Agents): Spawns up to 300 sub-agents in parallel with 4,000+ coordinated steps, cutting execution time by up to 4.5x for complex multi-step research, coding, and analysis tasks.
• Extended Context Window: Supports 256K token context window enabling processing of entire documents, books, and extended conversations without losing context
• Thinking & Instant Modes: Offers both deep reasoning mode for complex problems and instant mode for quick responses, with configurable reasoning depth
• OpenAI-Compatible API: Drop-in replacement for OpenAI API with automatic context caching, reducing input costs by 75% on repeated content
• 300-Step Tool Calling: Supports autonomous execution of up to 300 sequential tool calls for complex workflows including web search, file operations, and system commands

Pros

• Exceptional benchmark performance with MMLU 92.0, HumanEval 99.0, and MATH-500 98.0, competing with frontier models at fraction of cost
• Aggressive pricing at $0.60/$2.50 per million tokens with automatic 75% context caching, making it 4-17x cheaper than GPT-5.4
• Native multimodal capabilities enabling visual coding, chart understanding, and video processing without separate vision models
• Open-source under Modified MIT license with publicly available weights and comprehensive documentation
• OpenAI-compatible API enabling seamless migration and integration with existing OpenAI tooling

Cons

• Chinese-first interface and primary focus on Chinese market may limit international support and documentation
• Younger ecosystem with less established enterprise support compared to OpenAI and Anthropic
• Data residency concerns for users requiring non-China infrastructure (Moonshot AI based in Beijing)
• Limited established integrations compared to competitor platforms with longer market presence

Frequently Asked Questions

What is Kimi?

Kimi is a frontier-class AI assistant developed by Moonshot AI, built on the Kimi K2.5 model with 1 trillion total parameters (32 billion activated) using Mixture-of-Experts architecture. It features native multimodal understanding, Agent Swarm technology for parallel task execution, and context windows up to 256K tokens.

How much does Kimi cost?

Kimi's consumer chat interface is free to use. API access starts at $0.60 per million input tokens and $2.50 per million output tokens, with automatic context caching reducing costs by 75% for repeated context.

What are the main features of Kimi?

Key features include the MoonViT-3D vision encoder for visual coding from UI designs and video, Agent Swarm for self-directed parallel task decomposition across dynamically instantiated agents, thinking and instant response modes, and benchmark scores including MMLU 92.0 and HumanEval 99.0.

Is Kimi free to use?

Yes, Kimi's chat interface is free to use for consumers. API access for developers is metered, starting at $0.60/1M input tokens and $2.50/1M output tokens, with a 75% cost reduction via context caching.

Who is Kimi best for?

Kimi is best for developers and enterprises needing cost-effective frontier-quality reasoning, coding, and visual understanding with very large context windows (up to 256K tokens), particularly for agentic multi-step tasks via Agent Swarm. Users requiring guaranteed data residency in Western jurisdictions may prefer alternatives.

How does Kimi compare to GPT-4 and Claude?

Kimi K2.5 achieves competitive benchmark scores (MMLU 92.0, HumanEval 99.0) at substantially lower API pricing ($0.60/$2.50 per million tokens) than GPT-4-class and Claude models, and is released under a Modified MIT open-source license, allowing self-hosting unlike GPT-4 or Claude.

Does Kimi support vision and multimodal input?

Yes, Kimi natively supports vision inputs through its MoonViT-3D vision encoder, enabling visual coding from UI designs, video demonstration analysis, and multimodal reasoning alongside text.

Is Kimi open source?

Yes, Kimi is released under a Modified MIT license, making it accessible for researchers, developers, and enterprises seeking cost-effective frontier-quality AI with the ability to self-host.

Visit Kimi Official Website