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Description
Ling Studio serves as the online platform created by Ant Ling, allowing users to delve into the vast potential of AI while assessing the fundamental capabilities of the Ling model series. This environment offers a seamless way for individuals to test out Ant Ling models prior to utilizing them via API access, thus enhancing the experience of engaging with multi-turn reasoning, processing lengthy contexts, generating multimodal content, and observing model behavior within an interactive chat interface. It is interconnected with Ant Ling’s robust family of models designed for text generation, coding, reasoning, and various multimodal tasks. The Ling models themselves are versatile large language models (LLMs) built on a Mixture of Experts architecture, achieving a balance between a high parameter scale and low activation costs, which facilitates conversation, text creation, and diverse content generation. Additionally, the Ring models are engineered to excel in deep reasoning and cognitive functions, demonstrating exceptional capabilities in mathematics, programming, and achieving high scores on comprehensive reasoning benchmarks, ultimately making them invaluable tools for users seeking advanced AI solutions. This innovative approach not only enhances user engagement but also opens doors to new applications in the AI landscape.
Description
Ring is a sophisticated trillion-parameter thinking model created by Ant Group, specifically tailored for real-world Agent workflows. It employs a Mixture of Experts architecture similar to that of Ling, activating approximately 63 billion parameters during each inference, and is particularly geared towards tasks such as coding agents, utilizing tools, collaborating with multiple tools, engineering development, conducting research analysis, and executing long-term tasks. Instead of merely striving for "smarter" outcomes, Ring prioritizes the reliable completion of intricate tasks while maintaining a cost-effective approach, effectively balancing quality, speed, and efficiency in production settings. The latest iteration, Ring-2.6-1T, incorporates an adjustable Reasoning Effort mechanism that features high and xhigh reasoning intensity levels, which allocates an adaptive reasoning budget according to the complexity of the task at hand. The high mode is specifically optimized for high-frequency Agent workflows, resulting in lower token costs and quicker multi-step execution, while also facilitating multi-turn interactions, tool collaboration, and task decomposition. As a result, Ring demonstrates a significant advancement in enhancing the capabilities of agents in various operational contexts.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Claude Code
No
Hermes Agent
No
Kilo Code
No
OpenClaw
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.0028 per 1M tokens
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Ant Group
Founded
2014
Country
China
Website
chat.ant-ling.com/chat
Vendor Details
Company Name
Ant Group
Founded
2014
Country
China
Website
developer.ant-ling.com/en/docs/models/ring/