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GLM 5.2 Cuts Academic Paper Reproduction Cost to 1/8 of Claude Opus 4.8 Max

GateNews
AI Industry News
According to Beating, in academic reproduction testing, GLM 5.2 achieved a cost of just $6.21 compared to Claude Opus 4.8 Max's $46.35 when replicating a self-distillation reinforcement learning paper. The open-source model required 14 failed runs before success, consuming 2.65 million tokens, while Opus completed the task after 9 failures using 4.53 million tokens, according to alphaXiv team's automated agent testing.
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