Tabbit
It has a codename, an anonymous route, and a short list of public specs. The developer remains undisclosed, but Ox Alpha is now available in Tabbit so you can test the mystery against real work.
Use in Tabbit Ox Alpha
Ox Alpha · Model overview
A compact view of reviewed task guides, public evaluations, and evidence boundaries. Client access still depends on your current account.
Model access and permissions must be checked in the current Tabbit account.
Extract structured data, build a visual prototype, or start a coding task.
A one-line SVG prompt for a dragon riding a bicycle is a quick way to check Ox Alpha's handling of structural relationships, physical plausibility, and executable SVG code.
Give Ox Alpha documentation for a custom language that cannot be in its training data, then implement the game and language feature in separate stages to test document reading, sustained coding, and regression verification.
When Ox Alpha appears stuck, first separate service-side errors from local scanning or MCP blocking, then use .ignore, snapshot: false, and temporary MCP removal to narrow the cause.
When using Ox Alpha for frontend UI, providing actionable browser, animation, and aesthetic tools first, then having the model read reference sites, is usually more reusable than simply asking it to “make a beautiful page.”
Public results use different versions, tiers, and harnesses; unknown values stay unknown.
OpenRouter describes Ox Alpha as a reasoning model for coding, sustained agentic work, and production workloads, listing free access, a 1,048,576-token context, up to 131,072 output tokens, and text/image/video input; the provider is only named Stealth, the developer remains anonymous, and the page publishes no reproducible capability benchmark.
Cline says Ox Alpha and Fable both correctly fixed one real bug in its repository; Ox Alpha used about three times fewer output tokens and repeated less reasoning. This is an efficiency signal worth retesting, not a general capability ranking.
Under a single-turn code-generation protocol with no agent, tools, scaffold, or sampling and with temperature=0, the experimental repository reports that Ox Alpha scored 49/175, or Pass@1=28.0%, on LiveCodeBench release_v6, with lower pass rates as difficulty increased.
Stealth
Ox Alpha is a reasoning model whose developer has not been disclosed, built for coding, long-context work, and sustained agent tasks. Review sourced specs and field notes, then use it directly in Tabbit.