Unverified50% confidenceFactExact time
GLM-5.3 has an input multiplier of 6.9, a cached input multiplier of 1.7, and an output multiplier of 24; GLM-5.3-Flash has an input multiplier of 2.3, a cached input multiplier of 0.56, and an output multiplier of 8.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedThe Zhipu GLM series continuously refined three generations at the 358B parameter scale from GLM4.5 to 4.7, after which GLM5 doubled to 754B.73% similarUnverifiedGLM-5.3的智能体编程准确率随投入词元增加而提升：低投入约24.7，高投入31.5，最大投入34.769% similarUnverifiedIn GGUF, BF16 uses 16 bits per parameter, Q8_0 approximately 8 bits, Q4_K_M approximately 4 bits, Q3_K_M approximately 3 bits, and Q2_K approximately 2 bits.68% similarUnverifiedGLM-5.3在六项评测中的成绩为：终端编程基准3.0得28.3、深度软件工程基准得66.9、智能体中场考试得28.5、自动化基准得48.2、带工具的人类终极考试得62.5、GDP价值评估AA2版得17.6967% similarUnverifiedThe top-ranked models in single-turn tests are GLM-5.3 with a score of 96.2%, Kimi at 93.9%, and GLM-Flash at 92.2%, with all three achieving a raw score of 79/84.67% similar
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