GLM-5.2: Frontier Intelligence, Open Weights

(twitter.com)

32 points | by zixuanlimit 16 hours ago ago

19 comments

  • osti 15 hours ago ago

    Given that DeepSwe is one of the very few coding benchmarks worth taking a look at, this achieves rather excellent result at it (not far from opus 4.8).

    From looking at the results and my own impression of 5.1 and other models, I think this is the best Chinese coding model by some non-insignificant margin.

    • LaurensBER 14 hours ago ago

      I've been very pleased with it's performance over the last few days.

      It's definitely not near Opus 4.8 level but it's very impressive nonetheless and it does do design extremely well.

      • ebbi 14 hours ago ago

        > it does do design extremely well

        Better than Opus?

        • osti 10 hours ago ago

          I don't know what people mean when they say design lol, is it for frontends?

          • ebbi 6 hours ago ago

            Yeah, that's what I mean anyway. Each model has certain design tropes it repeats everywhere, and some of them are very old-school or not really UI best practice.

            And then the more ambitious cases where you ask for a feature without being prescriptive with UI needs, the end result is sometimes atrocious with weird font use, colours, etc.

  • fcanesin 12 hours ago ago

    Zhipu AI is founded by a superstar Tsinghua professor, did an IPO in January (Hong Kong stock exchange) hired half it's past research lab and it's stock is >10x since. This is not a "just distill Claude" thing.

    • saxenaabhi 21 minutes ago ago

      IPO within year of founding?

      It it normal for startup in China?

  • hadik 15 hours ago ago

    Blog post with more information including benchmarks: https://z.ai/blog/glm-5.2

  • gnabgib 11 hours ago ago

    Discussion (765 points, 3 days ago, 489 comments) https://news.ycombinator.com/item?id=48518684

  • coolspot 10 hours ago ago

    Looks like their code subscription is sold out. Clicking on the "Subscribe" button just does nothing. Pay-as-you-go API works well.

  • dbbk 15 hours ago ago

    If I have a fully maxed out MacBook Pro, would it make sense to just switch from Opus 4.8 to this? I've never tried running local models for coding...

    • entrope 12 hours ago ago

      HuggingFace says this model has 753B parameters, which will need a lot more RAM than a maxed-out MacBook Pro. With 40B active parameters, running from SSD would need patience.

      • _aavaa_ 9 hours ago ago

        For an fp4 quantization it should fit with room to spare for KVCache

        • Tepix 4 hours ago ago

          Aren't Macbooks limited to 128GB RAM?

          FP4 would require >350GB RAM + KV cache, so no.

          • _aavaa_ 33 minutes ago ago

            Oops, you’re right. My brain understood Mac Studio for some reason.

      • api 12 hours ago ago

        I’ve wondered for a while if anyone is working on very wide channel parallel (kind of like RAID 0) SSD for this purpose. Couple that with a tensor processor and that would be interesting.

  • Bucko1 15 hours ago ago

    I have already tested this and it is impressive.

  • ChrisArchitect 11 hours ago ago