@s_batzoglou
@CharuruCha14310 I tried it with underwhelming results. See my previous post: https://t.co/DaKbeaVIcb It is insanely slow, with up to 22 hours per problem (🤯), fails a lot, and seems a low-performer on correct answers
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"text": "@CharuruCha14310 I tried it with underwhelming results. See my previous post:\n\nhttps://t.co/DaKbeaVIcb\n\nIt is insanely slow, with up to 22 hours per problem (🤯), fails a lot, and seems a low-performer on correct answers",
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"text": "I find GLM-5.2 currently unusable for hard reasoning tasks. I gave it 11 induction problems from my benchmark (ICML 2026, https://t.co/gBelIZQEaa).\n\n- 4 out of the 11 completed, the rest failed; 2 correct\n- Average time per completed problem: 6h 10m 13s\n- Average time per failed problem: 20h 54m 16s\n\nThe worst part: the total visible token usage is 96,026. But the charge to my account is $48.55. So it charged for about 10M output tokens. Which means that each problem was probably run more than once internally, and failed but still got charged.\n\nAt $12 per problem, GLM-5.2 is by far the most expensive model, compared to GPT-5.5 which is around $3 per problem in the same benchmark. And slower by 1-2 orders of magnitude.\n\nBy the way, Kimi-k2.7-code is great. Clear improvement over kimi-k2.6, but batch mode is not supported yet.",
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