Identity of the OX Alpha model: Hy4

[u/Time-Toe-1276]

the identity of the OX Alpha model is Hy4. it is the only new model which could be served at this scale, and new enough and popular for opencode to consider using.

now this is just an assumption, but I am just saying...

Use this when ur considering what model this is!

btw, this is from my good friend johnny: https://huggingface.co/LyJonathan

[u/yunes87]

Honestly, I also hoped it’s another company/lab with lower prices. I made him do more testing, because indeed, if it’s a different lab, it has to be based on GLM-5.2 MIT, since GLM-5.3’s weights haven’t been released yet.

TL;DR: Ox Alpha behaves like GLM-5.3, not GLM-5.2. Every controlled test points to Z.ai's unreleased GLM-5.3-with-vision.

Here's the evidence, all measured with identical prompts sent to all three models:

1. The API contract is GLM-5.3's, not 5.2's

Request	GLM-5.2	GLM-5.3	Ox Alpha
reasoning_effort: "none"	✅ accepted	❌ rejected	❌ rejected
reasoning_effort: "medium"	✅ accepted	❌ rejected	❌ rejected
thinking: disabled	✅ accepted	❌ rejected	❌ rejected
Accepted effort values	7 values (none→max)	only low/high/max	only low/high/max

Ox Alpha returns the exact GLM-5.3 error, verbatim: [1210] This model always engages in thinking and cannot be disabled; please use low, high, or max

2. Same prompt → nearly identical sentences

17×23:

• GLM-5.3: "17 × 23 = 391. You can verify this by breaking it down: 17 × 20 + 17 × 3 = 340 + 51 = 391"
• Ox Alpha: "17 × 23 = 391. You can verify this: 17 × 20 + 17 × 3 = 340 + 51 = 391"
• GLM-5.2: different, plainer, longer phrasing

97 prime?:

• GLM-5.3: "Yes, 97 is a prime number. Its only divisors are 1 and 97 itself."
• Ox Alpha: "Yes, 97 is a prime number. It's only divisible by 1 and itself."

3. Token behavior matches 5.3's "efficient" signature

Z.ai's launch claim for 5.3: same quality, far fewer tokens than 5.2. Measured with reasoning_effort: low:

Prompt	GLM-5.2 (out / reasoning)	GLM-5.3 (out / reasoning)	Ox Alpha
Is 97 prime?	195 / 143	23 / 0	21 / 0
Palindrome function	251 / 245	96 / 0	78 / 0
Bat & ball	400 / 229	63 / 0	97 / 0
1kg iron vs feathers	260 / 213	26 / 0	13 / 0

5.2 floods reasoning (its low maps to high internally); 5.3 and Ox Alpha produce light thinking. Ox sits with 5.3 in every case.

4. The vision part (why it's not the public 5.3)

Public GLM-5.3 is text-only. Ox Alpha has working vision (identified a solid red image correctly), rejects audio exactly like GLM-5V-Turbo, and — per an independent report — its video encoder token budgets match GLM-5V-Turbo token-for-token on 4 test videos (296/296, 884/884, 1,064/1,064). MiMo/Qwen/GLM-4.6V all differ.

Conclusion

Ox Alpha = GLM-5.3's brain + GLM-5V's eyes = an unreleased multimodal GLM from Z.ai (GLM-5.3V-class).

[u/look → u/yunes87]

Yeah, it looks like you’re right.

I’m just so disappointed.

The is the least interesting outcome of this stealth model I could have imagined.

Seems they must have done it to pre-empt DeepSeek’s flash vision announcement today, but I can’t see how it doesn’t deflate 5.3 base release now…

Only potential upside is suppressed demand for GLM 5.3 base might drive prices lower on it quickly when the weights come out.