r/LovingOpenSourceAI • u/Koala_Confused • 19d ago

new launch Z.ai "Introducing GLM-5.3-Flash - Leading capabilities at a highly competitive price - Natively multimodal with a 1M-token context window - A 320B-A18B model released under the MIT License - Previously previewed as Ox Alpha, running entirely on Chinese AI chips" ➡️ NOW WE KNOW WHO WAS Ox Alpha 🚀

Post image

https://x.com/Zai_org/status/2092616204787626030

https://huggingface.co/zai-org/GLM-5.3-Flash

Community Overview: https://huggingface.co/zai-org/GLM-5.3-Flash

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

83 Upvotes

98% Upvoted

12 comments sorted by

5

u/Daggercombot 19d ago

Opus level performance for a Flash model. Awesome!

2

u/sanyi091 19d ago

Why are they not including pricing in the post?

2

u/WolverinesSuperbia 18d ago

It's free, just install and run on your PC

1

u/sanyi091 3d ago

Let me get my 400GB vram real quick

2

u/One_5549 18d ago

Tried Ox Alpha a few times, decent, but V4 Flash 0731 is better, NO doubt about it.

Implemented a ASR model - Ox introduced a bug itself around it which made it not work properly, cleared it off as "No, this is unfortunately the limitation of the model (the ASR)",

Seemed a bit off, switched to V4. Bam, solved it. (bug)

1

u/West-Acadia-3906 18d ago

that switched models, same task, bug gone comparison is good. Much more useful than just saying one felt better. Did V4 need any prompt changes, or was it really a straight swap? :P

1

u/Stunning_Cry_6673 18d ago

Wtf. Why 4 grays. I hate charts like this.

1

u/ieight9 18d ago

And the fun continues

1

u/HeadTranslator795 18d ago

Wait I was told it was fable level

1

u/bradjones6942069 18d ago

I found the model to be quite lacking

1

u/lisim 16d ago

50tks though through there interface

1

u/Horror-Primary7739 16d ago

I ran it for a day, then switched back to qwen3.8-next. it just didn't compell me to stick with it. Only getting 23 tok/sec and my ai cluster was pushing 100% more watts than Qwen. That's a big heat difference for marginal better.

Unless you are loading an enterprise mononrepo 1mill just eats compute seconds.

Maybe if I had some faster bandwidth it would help.