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GLM-4.1V-Thinking

Training compute
9.2×10²³ FLOP
Parameters
9B
Published
Aug 15, 2025

GLM-4.1V-Thinking is an AI model developed by Z.ai (Zhipu AI) and Tsinghua University (China), first published in August 2025. It works in the multimodal, vision and language domain, on tasks such as language modeling/generation, question answering, visual question answering and image captioning.

Training it took an estimated 9.2×10²³ FLOP of compute (estimation method: operation counting). The model has 9,000,000,000 parameters.

Access: Open weights (unrestricted). Its weights are openly available. It is built on top of GLM-4-9B-0414. Epoch AI rates the confidence of this record as likely.

Full record
Organization
Z.ai (Zhipu AI), Tsinghua University
Country of organization
China
Domain
Multimodal, Vision, Language
Task
Language modeling/generation, Question answering, Visual question answering, Image captioning
Training compute
9.2×10²³ FLOP
Compute estimation method
Operation counting
Parameters
9,000,000,000
Model accessibility
Open weights (unrestricted)
Open weights
Yes
Base model
GLM-4-9B-0414
Epoch confidence
Likely
More from Z.ai (Zhipu AI),Tsinghua University
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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