Kimi K2Moonshot AI
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Mercury VoiceInception
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Related Products
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About
Kimi K2 is a state-of-the-art open source large language model series built on a mixture-of-experts (MoE) architecture, featuring 1 trillion total parameters and 32 billion activated parameters for task-specific efficiency. Trained with the Muon optimizer on over 15.5 trillion tokens and stabilized by MuonClip’s attention-logit clamping, it delivers exceptional performance in frontier knowledge, reasoning, mathematics, coding, and general agentic workflows. Moonshot AI provides two variants, Kimi-K2-Base for research-level fine-tuning and Kimi-K2-Instruct pre-trained for immediate chat and tool-driven interactions, enabling both custom development and drop-in agentic capabilities. Benchmarks show it outperforms leading open source peers and rivals top proprietary models in coding tasks and complex task breakdowns, while its 128 K-token context length, tool-calling API compatibility, and support for industry-standard inference engines.
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About
Mercury is a family of diffusion large language models built to deliver frontier LLM quality at significantly higher speeds, running at 1,000+ tokens per second on commercial NVIDIA GPUs for instant, in-the-flow AI applications. The models are OpenAI-compatible and designed as drop-in replacements for traditional LLMs, making them easier to integrate into existing AI stacks. Mercury 2.5 is the family’s most intelligent reasoning dLLM, built for complex applications where both quality and speed matter. It supports a 260K context window, reasoning, tool use, and structured output, with use cases including rapid coding iteration, agents and subagents, customer support, and enterprise search. Mercury Voice is optimized for voice agents and delivers time-to-first-token under 170 ms while supporting reasoning, tool use, structured output, and a 128K context window. It is suited to applications such as customer support, patient care, education, and gaming.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI researchers, developers and organizations seeking an open source, high-performance agentic intelligence model for advanced reasoning, coding and autonomous task execution
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Audience
Developers and AI teams seeking to build fast, high-performance applications, agents, voice systems, and reasoning workflows with diffusion-based language models
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Open source
Free Version
Supported
Free Trial
Not Supported
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Pricing
$0.04 per 1M tokens
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationMoonshot AI
Founded: 2023
China
moonshotai.github.io/Kimi-K2/
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Company InformationInception
United States
www.inceptionlabs.ai/models
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Alternatives |
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Categories |
Categories |
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Integrations
AiAssistWorks
Supported
Brokk
Supported
Claude Haiku 4.5
Not Supported
EaseMate AI
Supported
GPT-5.6 Luna
Not Supported
Gemini 3.5 Flash-Lite
Not Supported
Kimi
Supported
NVIDIA TensorRT
Supported
Nebius Token Factory
Supported
Okara
Supported
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Integrations
AiAssistWorks
Not Supported
Brokk
Not Supported
Claude Haiku 4.5
Supported
EaseMate AI
Not Supported
GPT-5.6 Luna
Supported
Gemini 3.5 Flash-Lite
Supported
Kimi
Not Supported
NVIDIA TensorRT
Not Supported
Nebius Token Factory
Not Supported
Okara
Not Supported
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