Coding Model Ox Alpha Retains Every Prompt: You Cannot Name Company Holding Them
Coding Model Ox Alpha Retains Every Prompt: You Cannot Name Company Holding Them
摘要: The robo-crypto bull statue is seen on the campus of Miami Dade College's Wolfson campus on July 16, 2025, in Miami, Florida.
Joe Raedle/Getty Images
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The robo-crypto bull statue is seen on the campus of Miami Dade College's Wolfson campus on July 16, 2025, in Miami, Florida.
Joe Raedle/Getty Images
A frontier coding model appeared on a developer marketplace three days ago under an anonymous label, offering a million-token context window for free — and retaining every prompt under terms that its per-model listing and the platform's governing EULA describe in contradictory ways. The model, listed as
stealth/ox-alpha
OpenRouter's model catalog
, has attracted serious developer attention since August 20; serving-layer forensics published August 22 now point with high confidence to Zhipu AI's Z.ai infrastructure as its source — while the question of what the anonymous provider is allowed to do with your data remains officially unresolved.
Ox Alpha Launched Three Days Ago. Here's What It Actually Does.
Ox Alpha appeared on OpenRouter on August 20, 2026 without a company name, a press release, or a logo, listed under the generic "Stealth" provider label. Open-source coding agent OpenCode announced it would be
free for one week
— through around August 27, 2026 — with the anonymous provider claiming capacity of 100 trillion tokens per day.
The model's context window is the first thing most developers noticed: a
1,048,576-token context window
, supporting text, image, and video input, with function calling and structured JSON output. That window size is not a small incremental step — it means a developer can load an entire large codebase into a single prompt and ask the model to reason across all of it simultaneously. Most production-grade models handle between 8,000 and 200,000 tokens. A million-token window is a different category of tool.
Community benchmarks ran almost immediately. Developer Ben Davis ran Ox Alpha against DeepSWE, a rigorous coding-agent evaluation that tests AI performance on real software engineering problems, and reported the model completing 8 of 10 tasks — an 80% pass rate. His co