Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Nex-N2-Pro is an innovative open-source agentic model designed to enhance productivity in real-world scenarios by transforming reasoning into actionable, verifiable, and repeatable tasks. Instead of viewing reasoning, tool utilization, and environmental execution as distinct functions, Nex-N2 integrates these elements within a cohesive framework that aligns requirement comprehension, task organization, code execution, environmental feedback, assessment, debugging, and ongoing refinement into a seamless, closed-loop process. Its unified thinking approach spans searching, programming, and calling agentic tools, adhering to a consistent pattern of breaking down goals, tracking states, adjusting strategies, and performing self-assessments, which proves particularly advantageous in complex workflows that involve both coding and tool interactions. The model's Adaptive Thinking capability allows it to autonomously determine when to engage in deeper thought processes, enabling it to carry out straightforward actions swiftly while dedicating more time to critical decisions for optimal resource management, thus maximizing efficiency. This multifaceted approach ensures that Nex-N2-Pro is well-equipped to tackle a diverse range of tasks in dynamic environments.
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
No
API Access
Has API
Yes
Integrations
Claude Code
No
Hermes Agent
No
Kilo Code
No
OpenClaw
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
Nex-AGI
Founded
2025
Country
China
Website
nex-agi.com
Vendor Details
Company Name
Ant Group
Founded
2014
Country
China
Website
developer.ant-ling.com/en/docs/models/ring/