@NielsRogge: GLM-5.2 is the literal SOTA on PostTrainBench Beating GPT-5.5 and Opus 4.8 Learn more here https://paperswithcode.co/be…
Summary
GLM-5.2 achieves state-of-the-art results on PostTrainBench, outperforming GPT-5.5 and Opus 4.8.
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@TheAhmadOsman: GPT 5.5 > GLM 5.2 But GLM 5.2 > Opus 4.8
A comparison stating GPT 5.5 outperforms GLM 5.2, but GLM 5.2 outperforms Opus 4.8.
@mervenoyann: GLM-5.2 is comparable to Opus 4.8 with 1M context > new IS attention reuses one indexer every 4 sparse layers (2.9× per…
GLM-5.2 is a new model comparable to Opus 4.8, featuring 1M context, new IS attention, improved speculative decoding, and flexible thinking-effort levels. It is released under MIT license with day-0 support in transformers, vLLM, and SGLang.
@Sentdex: Zai was gracious enough to give me a key to test out GLM 5.2. I used it on a few simple tasks and quickly realized this…
Sentdex reports that GLM 5.2 from Zai is the first open model that can replace GPT-5.5 and Opus 4.8 across many tasks, with strong coding and agentic performance and a 1M context window.
GLM 5.2 API is live, weights are on HF, and ollama has it already
GLM 5.2 has been released with open weights under MIT license on HuggingFace, available via API and Ollama, featuring competitive benchmarks that trail Opus 4.8 by a point and edge GPT-5.5 by one.
@omarsar0: GLM-5.2 is great at design (Opus level IMO). I am also starting to see great results with long-running tasks, too. How …
GLM-5.2, an open-weight model with Opus-level design capabilities, incorporates an anti-hacking module trained via RL to mitigate reward hacking and improve performance on long-running tasks.