alt Hacker NewsZ.ai confirms Ox Alpha is a new GLM-series model and will release its weights
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Mixed signals, here it's performing below even GPT-5.4 Nano:
while here it outperforms Fable by a significant margin:
but if the latter is true, will people still say it was "distilled" from Fable?
Releasing weights is the right move. Keeps them competitive with DeepSeek on the open side.
I'd be interested to know what was going on with it during the public test as there were numerous reports of it improving considerably at tasks it was asked to do early on in the test compared to later in it.
Rather than a pelican, for fun I showed it a couple of screenshots from Niu Lai and asked it to create an SVG inspired by the images. I explained a little about how the movie had been made by a mother & son team, initially derided but then went on to surprise cult box office success. It came up with this:
https://x.com/syneryder/status/2091978367579156569/photo/1
Created in a single turn - but technically not a "one-shot", because I gave it a tool to convert SVG to PNG so it could visualize what it had made. I asked it to keep iterating with tools during the same turn until it was happy.
I've also been using Ox Alpha for tasks that better resemble real work, and I'm really enjoying working with it. I've downgraded my Anthropic account so I can put some budget towards Ox Alpha instead, with the rumors that this one is going to be cheap. Opus & Fable are still better at getting large tasks / features done autonomously, but Ox Alpha can work autonomously too, and it's fun. I'm enjoying working with Ox in a way that I'm just not enjoying talking to the 5.0 Anthropic models. (As much as I don't want to say that, as someone with Claude /stickers on their laptop.)
It one-shotted generation of Java bindings for this project: https://github.com/jeffhajewski/latticedb
Related PR: https://github.com/jeffhajewski/latticedb/pull/5
The session used ~100K input tokens, ~60K output tokens, and ~80K thinking tokens.
I reviewed it using gpt-sol-medium, and it seems to be satisfied with it's work.
> The company on Wednesday confirmed speculation that the Ox Alpha model is a new iteration of its GLM series and said it will release the weights for it tonight, in response to queries by Bloomberg News.
Where? And "Tonight" in which timezone?
There's a lot of brand confusion among the Chinese models right now. Kimi, Qwen, GLM, Z.ai, Ox. We might know the difference (or I should say, someone does because I'm losing track already) but these models have no chance at end user penetration and loyalty until there's a single focused survivor.
It took me a year talking about it until my wife knew that ChatGPT and Gemini are two different things.
Funny how all china companies are expected to release weights by default
Unfortunately I can't find sources other than this for now but this seems to be legit.
Anyone has a link to a report of its capabilities? I can't find a reliable source.
will we reach the singularity once the llm can be used to program the llm?
Good to see more competition in the open weights space. The more players the better.
my guess is this is a small model punching way above its weight
on toy benches it made quite a few mistakes but was able to fix all of them on its own
(meaning more tokens, more turns, more tool calls — but same outcome as gpt 5.6 sol)
Only reason people are interested is it’s free at the moment. I wasn’t impressed by its performance. Once the model gets a price tag it’s usage will be negligible.
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I had Ox Alpha working on coding tasks for a couple days non-stop, via OpenRouter and OpenCode Zen. It was able to complete tasks at a level that I'd put between Sonnet and Opus. It makes few mistakes, but is not that smart.
The main issue for me, is that it degraded into a doom loop several times. One of them was running the same bash command about a thousand times. The last model I've used that had this problem was Mimo 2.5, which is quite dated at this point. As a result of this, you cannot leave it unattended / not usable for agents.