Average Ratings 1 Rating
Average Ratings 0 Ratings
Description
Ox Alpha is an anonymous frontier-style reasoning model that emerged in August 2026 with a strong focus on software engineering and agentic AI applications. The organization responsible for developing the model has not publicly identified itself, and the model initially appeared under the identifier stealth/ox-alpha. It is built to reason through difficult problems rather than simply produce short conversational responses. Ox Alpha provides a 1,048,576-token context window, giving it enough capacity to process very large code repositories, documents, specifications, and conversation histories in a single context. Its maximum output length reaches 131,072 tokens, enabling unusually long and detailed responses when needed. The model can process text, images, and video as inputs while returning text-based results. Developers can use tool calling and structured JSON output to connect Ox Alpha with applications, APIs, and autonomous agent workflows. Its capabilities are particularly suited to long-running coding tasks such as debugging, refactoring, architecture analysis, and reasoning across multiple files without quickly losing context. Ox Alpha has attracted attention from developers because of its combination of large-context reasoning, multimodal input, agentic features, and currently anonymous origins.
Description
Qwen3.8-2.4T-A95B stands out as the most extensive open model within the Qwen3.8 series, offering advanced Qwen-Max-class features in a publicly accessible format. Constructed upon the solid framework of Qwen3.5, this model significantly enhances performance in areas such as coding, professional tasks, research, and complex, prolonged agentic activities, emphasizing the reliability of executing intricate, multi-step workflows to completion. Utilizing a cutting-edge mixture-of-experts architecture, it boasts an impressive total of 2.4 trillion parameters, with 95 billion of those being activated, featuring 512 experts and engaging 10 routed along with one shared expert simultaneously. The model accommodates a native context length of 262,144 tokens, which can be extended to around 1.01 million tokens, thereby providing substantial flexibility for various applications. Furthermore, improvements in agent execution, such as enhanced autonomous planning and better responsiveness to environmental feedback, contribute to its efficiency, while its broader compatibility with widely used agent frameworks and development tools facilitates seamless integration into existing systems, making it a versatile choice for developers and researchers alike.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Hermes Agent
OpenClaw
Alibaba Cloud Model Studio
Cherry Studio
Claude Code
Cline
ClinePass
DeepSeek Harness
Model Context Protocol (MCP)
ModelScope
Integrations
Hermes Agent
OpenClaw
Alibaba Cloud Model Studio
Cherry Studio
Claude Code
Cline
ClinePass
DeepSeek Harness
Model Context Protocol (MCP)
ModelScope
Pricing Details
$0 per 1M tokens
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Ox Alpha
Website
openrouter.ai/compare/stealth/ox-alpha
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai