New Qwen and GLM Open Models Benchmark Against Claude Opus
kimmonismus · x · 2026-08-26
A significant day for open-weight and local AI. Qwen3.8-Flash-Next (125B MoE, 6B active) beats Claude Opus 4.6 Max on 8 of 9 benchmarks. GLM-5.3-Flash (320B total, 18B active) scores close to Opus 4.8 on Terminal-Bench and leads on several agentic benchmarks. Both models are MIT-licensed, natively multimodal, and support 1M context. While they require serious workstations to run, the narrowing gap with frontier models serves as a wake-up call.
Related event: Zhipu Open-Sources GLM-5.3-Flash: 320B MoE Multimodal at 1/10th the Cost(48 posts)→
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