zai-org models
2 zai-org models on Hugging Face, from 1.3B to 2.3B parameters. At the precision each one is published in, the smallest needs about 3.0 GB of VRAM (GLM-OCR, cheapest live fit: RTX 3060) and the largest about 5.0 GB (GLM-ASR-Nano-2512, cheapest live fit: RTX 3060). The cheapest way to run GLM-OCR is $0.110/hr.
zai-org models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| GLM-OCR | 1.3B | BF16 | 3.0 GB | RTX 3060 | $0.110/hr |
| GLM-ASR-Nano-2512 | 2.3B | BF16 | 5.0 GB | RTX 3060 | $0.110/hr |
VRAM is for the precision the model is published in, with the same overhead and an 8,192-token context assumed on every page; see the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.
