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GLM-5.2 'How to Run Locally' Hits 548 Points on HN as It Tops GPT-5.5 on SWE-bench Pro at 1/6 the Cost
Z.ai's open-weight GLM-5.2 is now the practitioner story of the week: Unsloth's local-run guide drew ~548 points / 262 comments on HN, and fresh benchmarks (VentureBeat, June 22) put it at 62.1 on SWE-bench Pro vs GPT-5.5's 58.6, priced ~$4.40 vs $30 per million output tokens. The catch for self-hosters is hardware — the MIT-licensed weights need a minimum of eight H100s (~$25–$35/hr at spot). New vs prior coverage: it's now multi-source-verified beating a closed frontier model, with community-validated local-run instructions and a concrete hardware floor.
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