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What is Kimi K2?

Kimi K2 showcases a groundbreaking series of open-source large language models that employ a mixture-of-experts (MoE) architecture, featuring an impressive total of 1 trillion parameters, with 32 billion parameters activated specifically for enhanced task performance. With the Muon optimizer at its core, this model has been trained on an extensive dataset exceeding 15.5 trillion tokens, and its capabilities are further amplified by MuonClip’s attention-logit clamping mechanism, enabling outstanding performance in advanced knowledge comprehension, logical reasoning, mathematics, programming, and various agentic tasks. Moonshot AI offers two unique configurations: Kimi-K2-Base, which is tailored for research-level fine-tuning, and Kimi-K2-Instruct, designed for immediate use in chat and tool interactions, thus allowing for both customized development and the smooth integration of agentic functionalities. Comparative evaluations reveal that Kimi K2 outperforms many leading open-source models and competes strongly against top proprietary systems, particularly in coding tasks and complex analysis. Additionally, it features an impressive context length of 128 K tokens, compatibility with tool-calling APIs, and support for widely used inference engines, making it a flexible solution for a range of applications. The innovative architecture and features of Kimi K2 not only position it as a notable achievement in artificial intelligence language processing but also as a transformative tool that could redefine the landscape of how language models are utilized in various domains. This advancement indicates a promising future for AI applications, suggesting that Kimi K2 may lead the way in setting new standards for performance and versatility in the industry.

What is DeepSeek-V4?

DeepSeek-V4 represents a new generation of open large language models focused on scalable reasoning, advanced problem solving, and agentic intelligence. Designed to handle complex analytical tasks, it integrates DeepSeek Sparse Attention (DSA), a long-context attention innovation that significantly lowers computational demands while preserving model quality. This mechanism enables efficient processing of extended inputs without the typical performance trade-offs associated with large context windows. The model is trained using a robust, scalable reinforcement learning pipeline that enhances reasoning depth and real-world task alignment. DeepSeek-V4 further strengthens its agent capabilities through a large-scale task synthesis framework that generates structured reasoning examples and tool-interaction demonstrations for post-training refinement. An updated conversational template introduces enhanced tool-calling logic, enabling smoother integration with external systems and APIs. The optional developer role supports advanced orchestration in multi-agent or workflow-based environments. Its architecture is optimized for both academic research and production-grade deployments requiring long-horizon reasoning. By combining computational efficiency with elite reasoning benchmarks, DeepSeek-V4 competes with leading frontier models while remaining open and extensible. The model is particularly well suited for applications involving autonomous agents, tool-augmented reasoning, and structured decision-making tasks. DeepSeek-V4 demonstrates how open models can achieve cutting-edge performance through architectural innovation and scalable training strategies.

Media

Media

No images available

Integrations Supported

AiAssistWorks
Brokk
DeepSeek
EaseMate AI
Kimi
NVIDIA TensorRT
Nebius Token Factory
Okara
OpenClaw
OpenCode
PenguinBot
PrivatClaw
SiliconFlow

Integrations Supported

AiAssistWorks
Brokk
DeepSeek
EaseMate AI
Kimi
NVIDIA TensorRT
Nebius Token Factory
Okara
OpenClaw
OpenCode
PenguinBot
PrivatClaw
SiliconFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Moonshot AI

Date Founded

2023

Company Location

China

Company Website

moonshotai.github.io/Kimi-K2/

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

Categories and Features

Categories and Features

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