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What is Ling 2.6?

Ling 2.6 signifies a series of large language models that have been independently developed and made open-source by Ant Group, leveraging a Mixture of Experts (MoE) architecture to optimize inference efficiency, manage long context modeling, improve training methodologies, and facilitate collaborative reasoning among AI agents. Through the implementation of this MoE architecture, Ling adeptly channels each token to interact solely with the most relevant expert subnetworks, which markedly decreases computational demands while maintaining the model's extensive functional capabilities. Notably, this series achieves significant advancements in long-sequence modeling, as demonstrated by Ling-2.6-1T, which supports a native context window of up to 1 million tokens and provides a 256K context window via its official API; further, Ling-2.6-flash is designed with a native 256K context window, allowing it to process approximately 200,000 characters in large inputs. These models are designed with great precision to ensure the reliable retrieval of information over long distances without any noticeable degradation in quality, regardless of the position of the data within the context. This cutting-edge methodology in long-context processing establishes a new standard for both efficiency and reliability in the performance of language models. The implications of such advancements could revolutionize how AI systems interact with extensive data sets, enabling more sophisticated applications in various fields.

What is Kimi K2 Thinking?

Kimi K2 Thinking is an advanced open-source reasoning model developed by Moonshot AI, specifically designed for complex, multi-step workflows where it adeptly merges chain-of-thought reasoning with the use of tools across various sequential tasks. It utilizes a state-of-the-art mixture-of-experts architecture, encompassing an impressive total of 1 trillion parameters, though only approximately 32 billion parameters are engaged during each inference, which boosts efficiency while retaining substantial capability. The model supports a context window of up to 256,000 tokens, enabling it to handle extraordinarily lengthy inputs and reasoning sequences without losing coherence. Furthermore, it incorporates native INT4 quantization, which dramatically reduces inference latency and memory usage while maintaining high performance. Tailored for agentic workflows, Kimi K2 Thinking can autonomously trigger external tools, managing sequential logic steps that typically involve around 200-300 tool calls in a single chain while ensuring consistent reasoning throughout the entire process. Its strong architecture positions it as an optimal solution for intricate reasoning challenges that demand both depth and efficiency, making it a valuable asset in various applications. Overall, Kimi K2 Thinking stands out for its ability to integrate complex reasoning and tool use seamlessly.

Media

Media

Integrations Supported

OpenClaw
GPT-5
GPT-5.1
GPT-5.1 Pro
GPT-5.1 Thinking
GPT-5.2 Instant
GPT-5.2 Pro
GPT-5.2 Thinking
GPT-5.4 Pro
GPT-5.4 nano
GPT-5.5
GPT-5.5 Pro
GPT-5.6 Sol
GPT-5.6 Terra
Hermes Agent
Hugging Face
Kilo Code
Nebius Token Factory
OpenAI
OpenRouter

Integrations Supported

OpenClaw
GPT-5
GPT-5.1
GPT-5.1 Pro
GPT-5.1 Thinking
GPT-5.2 Instant
GPT-5.2 Pro
GPT-5.2 Thinking
GPT-5.4 Pro
GPT-5.4 nano
GPT-5.5
GPT-5.5 Pro
GPT-5.6 Sol
GPT-5.6 Terra
Hermes Agent
Hugging Face
Kilo Code
Nebius Token Factory
OpenAI
OpenRouter

API Availability

Has API

API Availability

Has API

Pricing Information

$0.0028 per 1M tokens
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

Ant Group

Date Founded

2014

Company Location

China

Company Website

developer.ant-ling.com/en/docs/models/ling/

Company Facts

Organization Name

Moonshot AI

Date Founded

2023

Company Location

United States

Company Website

moonshotai.github.io/Kimi-K2/thinking.html

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