Image: METAL
Summary
- OpenRouter listed Ox Alpha as a free preview model from an unnamed third-party provider
- In a community test, its token counts matched comparison candidate GLM-5.2 on all 60 strings
- Multiple models can share the same tokenizer, so the actual model and developer remain unconfirmed
The anonymous model Ox Alpha
OpenRouter introduced Ox Alpha as an anonymous preview model aimed at coding and long-running agent tasks. Its model ID is stealth/ox-alpha, with a context window of 1,048,576 tokens and a maximum output of 131,072 tokens. It accepts text, image, and video input and responds in text, with support for tool calls. The identity of the third-party provider behind it, however, hasn't been disclosed.
All 60 tokenizer tests lined up
A Reddit user in r/LocalLLaMA, DistanceSolar1449, ran 60 different strings through Ox Alpha and several candidate models to compare their token counts. The results are laid out in the table below. The model names in the table refer to comparison candidates — they don't establish Ox Alpha's actual identity.
| Candidate model | Exact matches | Average error |
|---|---|---|
| GLM-5.2 | 60/60 | 0.000 |
| Kimi-K2.6 | 8/60 | 2.133 |
| Qwen 3.5 | 2/60 | 4.683 |
| DeepSeek V4 | 1/60 | 13.083 |
| MiMo V2.5 | 0/60 | 16.617 |
A tokenizer is the set of rules a model uses to break text into tokens. Models from the same family can share a tokenizer, but it's also possible for unrelated models to reuse the same rule set.
What's confirmed, and what's still unknown
What the community test actually confirmed is that Ox Alpha and the comparison candidate GLM-5.2 produced identical token counts across all 60 strings. That result alone isn't enough to pin down the model family or the developer behind it.
The only officially confirmed fact is that Ox Alpha is a preview model from an unnamed third-party provider. The real model and its developer should remain unconfirmed until that provider makes an official announcement.
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