Ox Alpha

• 🧠 Reasoning model built for coding and sustained agentic work
• 📏 Very large context window of 1,048,576 tokens
• 👁️ Vision capability for workflows mixing text with visual context
• 🔧 Supports function calling for tool-driven, multi-step workflows
• 🌐 Listed with web search among its capabilities
• 🎯 Positioned for long-horizon software engineering and production workloads
• 🏢 Catalog lists no provider, license, or parameter count
• 🆕 Released August 2026; no predecessor listed in its family

No provider metadata — this model has not yet been attributed to a known organisation.

Ox Alpha is a text-generation model described as a reasoning system designed for coding, sustained agentic work, and production workloads. Its stated focus is long-horizon software engineering, complex reasoning, and workflows that combine text with visual context, which places it in the category of models intended to run extended tool-using sessions rather than single-turn chat exchanges.

The headline specification is context length: the catalog lists a window of 1,048,576 tokens, roughly a million tokens of input, which is the kind of capacity used for holding large repositories, long logs, or extended agent trajectories in a single session. Capability tags cover reasoning, vision, code optimization, function calling, and web search, so the model is meant to read images or diagrams alongside text and to call external tools as part of its work.

Ox Alpha appears in the catalog with a release date of August 2026 and no sibling or predecessor entries in its family, so there is no earlier generation from the same line to compare it against on context length, modality support, or agentic features. The listing also carries no parameter count, license, or quantization details, and no first-party model card or evaluation results are available here.

Given that, the practical approach is direct evaluation on your own tasks — large-context code work, multi-step tool loops, and multimodal debugging — rather than reliance on published scores.