GLM-5.2 is good but it is not GPT-5.5/Opus 4.8, and even further from Mythos. Yet it is solid & it demonstrates that the open models continue to chase the frontier
What is happening is that open weights crossed into GPT-5.2 territory & capabilities at that point are considerable
Many users are excited about open weights GLM-5.2 nearing GPT-5.2 performance because it shows open models rapidly catching up, raising the performance floor, and delivering practical coding value at lower cost.
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Like if you have been using Qwen & Kimi & MiniMax, it feels like GLM is right on the curve. Which is itself impressive, and suggests that Mythos class models are coming in 6-12 months (if they are allowed to be released)
GLM-5.2 is good but it is not GPT-5.5/Opus 4.8, and even further from Mythos. Yet it is solid & it demonstrates that the open models continue to chase the frontier
What is happening is that open weights crossed into GPT-5.2 territory & capabilities at that point are considerable
@agpatriota No
The numbers back this exactly: GLM-5.2 is within a point of Opus 4.8 on FrontierSWE and MCP Atlas, but the gap balloons to +13 on SWE-Marathon and ~24 points on DeepSWE. So ‘chasing the frontier’ is accurate, but it’s chasing unevenly — closer on some task types, much further on long-horizon complex engineering.
@emollick For open source
2 more months to reach opus 4.8 and Gpt 5.5 level
@emollick Claude all of the way home.
@emollick ngl this whole "open weights hit gpt-5.2 range" framing feels like shifting the goalposts for open source
comparing against last gen when the frontier already moved again is kinda cope
@emollick Here's the risk to our AI industry:
@emollick Is there any open weight model that is as good as GPT 5.2 PRO?
@emollick They will catch up for sure at some point.
@emollick >if they are allowed to be released A model ban leaves groups in your own country vulnerable. If other countries have powerful models, then powerful models are required for security.
@emollick The frontier is moving faster than most realize.
@emollick glm price?
@emollick for coding tasks, 'good enough' at GPT-5.2 level is honestly the real threshold. you get most of the wins at way lower cost. that's where builders move.
@emollick GLM 5.2 proves open weights are no longer catching up they're reshaping the game. frontier speed democratizes agents for everyone. Mythos in months? the real race just started.
@emollick Closed model providers have maybe 12 months before open weights catch frontier. After that the value shifts entirely to who builds best on top.
@emollick How much is distilled from the frontier though?
If the true frontier is held in private longer, does the gap widen because the open-source models have to wait longer to distill their insights from the frontier?
The distillation pipeline is doing real work here—every frontier release basically leaks capability into the open ecosystem through synthetic data and RL traces. But the lag is still measurable: open weights typically hit a given capability ceiling 6-12 months after the closed model that anchors it. The real test comes when frontier labs stop publishing enough signal to distill from.
@emollick the open weights chase keeps pushing the floor higher
@emollick GLM-5.2 is on the pareto frontier curve for performance-to-cost on many benchmarks