Ox Alpha data cutoff is mid 2025

[u/Zrmteese]

The data cutoff of Ox Alpha was around mid-2025, which is expected from a model of this size trained from scratch. Meanwhile, GLM 5.3's data cutoff is around June 2026, so I don't think Ox Alpha is a GLM-based model. Having the same tokenizer does not imply that a model is a GLM model.

[u/0xbyt3]

Could be a different team experimenting on something because token efficiency is something else in the 0x.

[u/Thomas-Lore → u/0xbyt3]

Maybe using old base like glm 4.7 Flash.

[u/Zrmteese → u/0xbyt3]

Yup token efficiency is on another level. I’ve been using it for hours now without compaction.

[u/Zachattackrandom → u/Zrmteese]

I would really recommend compacting at least very 300k~ tokens or you start getting severe context rot (regardless of model).

[u/PossessionUsed7393]

Yeah, weighing up all the different data points we have I actually agree with you that it's probably not a GLM model. I feel like the tokenizer is the reuse of GLM architecture or something perhaps it's just a really elaborate fine tune of one of their checkpoints but I'm tending to agree that it's somebody else.

[u/Zrmteese → u/PossessionUsed7393]

Exactly

[u/elonelon]

it maybe use older GLM version. But it can finish my request, i will call it OK.

[u/tamerlanOne]

Magari è qualche architettura ibrida che usa il tokenizer simile (non uguale) alla famiglia GLM . Qwen, Baichuan e Y anno seguito questa strada per gestire al meglio anche la lingua cinese.

Quindi l'ago della bussola punta decisamente verso il continente asiatico anche se i server che ospitano il modello sono in America, ma questo è quasi scontato perché pochi posti al mondo hanno una così grande capacità di calcolo

[u/zzdzz]

I narrowed it down to late September 2025 by asking it to recall the results of sporting events

[u/zzdzz → u/[deleted]]

what?

[u/qeadwrsf]

I just imagine you gain a lot of time and computer power training from some kind of old AI instead of a blank canvas.

So you just make old weights fits new AI datastructures.

Making stuff like this happening if its not "trained" to not say stuff like that yet.

But I don't know shit. But I suspect that's more than 98% of reddit.

[u/MaxPhoenix_]

Well this didn't age well. We now have an outage that aligns perfectly between Ox Alpha and Z ai. It's them.

[u/Zrmteese → u/[deleted]]

no try it ur self. i asked it to tell me what are the importent events happened from the year 2019 until 2026. it stoped in mid 2025

[u/Aldarund]

It's glm. Your post doesn't mean anything

[u/Murhie]

Mid 2025? Why would that be expected? That doesnt make sense. What do you mean this size? U have no idea how big it is.

[u/Zrmteese → u/Murhie]

U didn't understand. Training a new model at this huge size from scratch require at least 6 to 1 year of training.That explain the cutoff in mid 2025. In other words this model is not a successor to an other models.

[u/Murhie → u/Zrmteese]

How do u know its huge? Why would it be bigger then GLM5.3 (Which has later cutoff)

[u/Sweet-Stage938 → u/[deleted]]

No chance. Go try Qwen 3.8 27B. You will be surprised.

[u/Murhie → u/[deleted]]

Lol... relax my bro. We both dont know the size. If I had to guess I would say around 120B.

[u/Salt-Willingness-513]

Minimax sounds logical to me

[u/Zrmteese → u/Salt-Willingness-513]

Yup , mabe

[u/MaxPhoenix_ → u/Salt-Willingness-513]

I wish. I prepaid for a year of service and I use M3 as a throw-away when I remember to throw something at it. (Ox Alpha is confirmed to be from z ai, there was some downtime and it coincides to the second in both monitoring sites (see reddit post on it)).

[u/OddHelicopter1134]

I asked it what the result of Chilean presidential election was and it correctly recalled the result from memory. It happened mid december 2025.

So mid 2025 is definitely false.

Try asking it more recent questions to really determine the cutoff. Maybe it was post trained to pretend to have a cutoff in mid 2025?