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What is Ling Studio?

Ling Studio is an online platform established by Ant Ling that enables users to explore the extensive possibilities of AI while evaluating the core functionalities of the Ling model series. This platform provides a smooth avenue for individuals to experiment with Ant Ling's models before accessing them through API connections, thereby improving the user experience in areas such as multi-turn reasoning, managing extensive contexts, generating multimodal content, and examining model behaviors in an interactive chat format. It is closely linked to Ant Ling's comprehensive array of models crafted for text generation, coding, reasoning, and various multimodal applications. The Ling models are adaptable large language models (LLMs) that utilize a Mixture of Experts architecture, striking a balance between high parameter counts and low activation expenses, which supports conversation, text production, and a wide range of content creation. Furthermore, the Ling models are designed to perform exceptionally well in deep reasoning and cognitive tasks, showcasing remarkable skills in mathematics, programming, and achieving outstanding results on extensive reasoning assessments, making them essential resources for users in search of advanced AI solutions. This pioneering strategy not only boosts user engagement but also paves the way for innovative applications within the AI domain, ultimately transforming how people interact with intelligent systems. Additionally, the platform encourages collaboration and knowledge sharing among users, fostering a vibrant community focused on the future of AI technology.

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.

Media

Media

Integrations Supported

Claude Code
Hermes Agent
Kilo Code
OpenAI
OpenClaw
OpenRouter

Integrations Supported

Claude Code
Hermes Agent
Kilo Code
OpenAI
OpenClaw
OpenRouter

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.0028 per 1M tokens
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

chat.ant-ling.com/chat

Company Facts

Organization Name

Ant Group

Date Founded

2014

Company Location

China

Company Website

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

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