A 2.8T-parameter open-weight model for frontier reasoning and coding.
What it does
Executes complex, long-horizon coding tasks with minimal human supervision.
Features a 1-million-token context window for processing massive documents and codebases.
Integrates visual reasoning for tasks like game development, frontend engineering, and CAD.
Operates as a multimodal agent capable of autonomous research, planning, and web navigation.
Scales efficiency using Stable LatentMoE framework to optimize active parameters during inference.
Why it works
8T parameter scale provides state-of-the-art reasoning and coding capabilities.
Open-weight model distribution allows for flexible deployment and local optimization.
Advanced architecture (KDA/AttnRes) improves computational efficiency for long-sequence tasks.
Seamless integration with agentic tools like Kimi Code and Kimi WebBridge.
Competitive pricing compared to US-based proprietary frontier models.
A 2.8T-parameter open-weight model for frontier reasoning and coding.
Overview
Kimi K3 is a flagship 2.8 trillion-parameter multimodal reasoning model developed by Moonshot AI. It excels in long-horizon coding, enterprise knowledge work, and complex agentic workflows. Built with Kimi Delta Attention and Attention Residuals, it offers a 1-million-token context window and competitive performance against leading frontier models, providing both API access and an all-in-one agentic workspace for users.
Founded year:2023
Founder:Yang Zhilin
Team size:100+
Popularity:Millions of monthly visitors
HQ:Beijing, China
Status:Active
Funding status:Funded
Customer type:B2B2C
Funding:$30B+ valuation (estimated)
Pricing:Freemium
Tech stack:Stable LatentMoE, Kimi Delta Attention, PyTorch, CUDA
Platform:Web • API • Mobile
Integrations:Kimi Code CLI, Kimi WebBridge, OpenRouter, GitHub, Various IDEs
What it does
Executes complex, long-horizon coding tasks with minimal human supervision.
Features a 1-million-token context window for processing massive documents and codebases.
Integrates visual reasoning for tasks like game development, frontend engineering, and CAD.
Operates as a multimodal agent capable of autonomous research, planning, and web navigation.
Scales efficiency using Stable LatentMoE framework to optimize active parameters during inference.
Who it's for
Software Developers
Data Scientists
Enterprise Knowledge Workers
AI Researchers
Why it works
8T parameter scale provides state-of-the-art reasoning and coding capabilities.
Open-weight model distribution allows for flexible deployment and local optimization.
Advanced architecture (KDA/AttnRes) improves computational efficiency for long-sequence tasks.
Seamless integration with agentic tools like Kimi Code and Kimi WebBridge.
Competitive pricing compared to US-based proprietary frontier models.
Founder story
Moonshot AI is a Beijing-based startup founded by Yang Zhilin. Established to narrow the gap between Chinese and US AI capabilities, the company focuses on building powerful, agent-native models. Kimi K3 represents their flagship effort in 2026, leveraging massive scale and innovative architectural tweaks to handle complex, real-world engineering and research workflows.
Alternatives
Comparison overview
Kimi K3 is distinguished by its 2.8T parameter size and open-weight distribution, positioning it as a high-performance alternative to closed-source frontier models. [Kimi K3 offers a 1M-token context window and architectural optimizations for long-horizon coding , while models like Claude or GPT rely on proprietary closed ecosystems/