Unverified50% confidenceOpinionExact time
The actual compute of a single GLM 5.3 inference may be equivalent to that of a dense model with 70B–150B parameters.
1
Sources
50%
Confidence
Long-term
Relevance
10/6/2026
First Seen
Sources
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Related Claims
UnverifiedEach token in the GLM series 744B model activates only approximately 40B parameters, accounting for about 5.4% of the total.77% similarUnverifiedThe GLM-OCR model has 0.9B (900 million) parameters.72% similarUnverifiedThe computational load of a single inference pass for a 2B parameter model is approximately one thirty-fifth that of a 70B model.68% similarUnverified研究表明大模型的强量化版本在同等资源下有时优于原生小模型，如70B模型量化到4-bit后综合表现往往优于原生的7B或13B全精度模型68% similarUnverifiedThe output quality of 4-bit quantized models can typically reach more than 95% of that of the original model.65% similar
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