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Public story · 2026-03-10 · source-backed
Use claude-launcher v0.4 to route Claude Code through NVIDIA NIM, running GLM-5 (744B MoE, 40B active, MIT license) at zero cost with 40 req/min free tier. GLM-5 scores 92.7% on AIME 2026 and 77.8% on SWE-bench Verified. paddo.dev
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Z.ai's GLM-5 (744B/40B MoE, MIT license, 205K context) is free on NVIDIA NIM at 40 req/min with no credit card. Benchmarks: 77.8% SWE-bench Verified (highest open-source), 56.2 Terminal-Bench 2.0 (approaching Opus 4.5's 59.3). Trained entirely on 100,000 Huawei Ascend chips. Y...
Alibaba released Qwen3.6-27B on April 22. Dense architecture. Open weights. 77.2% on SWE-bench Verified, within 3.7 points of Claude Opus 4.6. On SkillsBench, it scores 48.2% versus its own 397B MoE predecessor's 30.0%. That's a 77% improvement with 14.8x fewer parameters. Let...
The 397B MoE scores 86.1 on Terminal-Bench 2.1 (Terminus-2) against Claude Opus 4.8's 85.0, 86.0 on SWE-bench Verified, and 92.8 on GPQA Diamond. Hugging Face But it trails badly on the harder agentic rows: 13.5 versus 21.1 on Frontier-Bench v0.1, 59.5 versus 69.7 on NL2Repo....
This is the other half of the Fable 5 story, so read them together. While the best coding model in the world is uncallable, an open-weight one quietly posted frontier-adjacent numbers. Per Tom's Hardware, independent benchmarks for the MIT-licensed GLM-5.2 (744B params, 40B ac...
GLM-5.1 from Zhipu AI scored 58.4% on SWE-bench Pro. GPT-5.4 scored 57.7%. Claude Opus 4.6 scored 57.3%. That's the first time an open-weight model has ever topped a major coding benchmark against the best proprietary models. The specs matter. GLM-5.1 is a 754B-parameter mixtu...
As of today Fable 5 is no longer bundled at no extra cost in seat-based plans, and continued use draws on usage credits. The wrinkle: Fable 5 was offline June 12 to ~June 18 under the US export-control directive, so subscribers effectively got 4-5 of the advertised 13 free day...
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