OpenAI's ImageGPT Large is a transformer decoder model pretrained on 14 million images from ImageNet ILSVRC 2012 in a self-supervised fashion, learning to predict the next pixel value given previous ones. It is genuinely best at learning an inner representation of images for downstream tasks such as feature extraction and unconditional image generation.
Input
Output
Context
1K
Max Output
1K
Parameters
1.4B
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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