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What is Qwen3.7-Max?

Qwen3.7-Max signifies the pinnacle of innovation in Qwen's proprietary model series, specifically designed for the agent-centric era, and acts as a solid platform for a multitude of applications such as writing and debugging code, automating office workflows, and sustaining prolonged autonomous browsing sessions. This model excels in coding performance, showcasing exceptional skills in software engineering, terminal operations, graphical user interface interactions, web surfing, and the effective use of agentic tools. By improving the synergy between the model's intelligence and actual agent execution, Qwen3.7-Max supports sophisticated planning, reasoning over extended contexts, reliable function invocation, and the management of complex, multi-step tasks in intricate workflows. Additionally, it enhances multimodal and document-oriented tasks via Qwen Studio, which facilitates chatbot interactions, interprets images and videos, creates visuals, processes documents, develops presentations, provides coding assistance, performs thorough research, and supports web development. With this extensive array of capabilities, Qwen3.7-Max is positioned as a premier solution for various operational requirements in today's dynamic digital environment, ensuring users can efficiently tackle a wide range of challenges. As technology continues to evolve, the importance of such advanced models will only grow, making Qwen3.7-Max an invaluable asset for future endeavors.

What is Ornith-1.0?

Ornith-1.0 introduces a groundbreaking suite of models specifically designed for coding tasks that necessitate agent-like capabilities. This collection features a diverse array of models, ranging from the efficient 9B Dense versions suited for edge device deployment to the larger 397B MoE frontier-scale models optimized for maximum performance, including options such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Drawing on the robust foundations of pretrained models like Gemma 4 and Qwen 3.5, Ornith-1.0 stands out by delivering top-notch performance among open-source models of comparable sizes when assessed against coding benchmarks. A notable advancement of this model is its innovative self-improving training framework, which adeptly learns to generate both solution rollouts and the customized scaffolds that guide those rollouts. Instead of relying on static, manually crafted structures, Ornith-1.0 treats the scaffold as a fluid entity that evolves in sync with its policy, allowing the model to enhance both task orchestration and solution outcomes simultaneously. This dual-focused optimization significantly boosts the model's versatility and efficacy in practical coding applications, making it a vital tool for developers seeking cutting-edge solutions. As a result, Ornith-1.0 sets a new standard in the realm of coding models, promising advancements that could reshape how coding challenges are approached.

Media

Media

Integrations Supported

Alibaba Cloud Model Studio
Cherry Studio
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen
Qwen Studio
Vercel AI Gateway

Integrations Supported

Alibaba Cloud Model Studio
Cherry Studio
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen
Qwen Studio
Vercel AI Gateway

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

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Company Facts

Organization Name

DeepReinforce

Company Location

United States

Company Website

deep-reinforce.com/ornith_1_0.html

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