GLM-5.2: Frontier Intelligence, Open Weights

(twitter.com)

34 points | by zixuanlimit a day ago ago

19 comments

  • osti a day 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 a day 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 a day ago

        > it does do design extremely well

        Better than Opus?

        • osti 18 hours ago

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

          • ebbi 14 hours 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 20 hours 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 8 hours ago

      IPO within year of founding?

      It it normal for startup in China?

  • hadik a day ago

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

  • gnabgib 19 hours ago

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

  • coolspot 18 hours 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 a day 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 20 hours 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_ 17 hours ago

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

        • Tepix 12 hours ago

          Aren't Macbooks limited to 128GB RAM?

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

          • _aavaa_ 9 hours ago

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

      • api 20 hours 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 a day ago

    I have already tested this and it is impressive.

  • ChrisArchitect 19 hours ago