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Models / GLM-4.5-Air
3 models (~110B to ~111B) · ↓ 794.3K downloads a month · from $0.89/h on 2x Nvidia A40 right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalzai-org/GLM-4.5-Air | vLLM | 221 GB | 249.4 GB | $5.33/h 8x Nvidia A100 |
| AWQ FP16Mix (QuantTrio)QuantTrio/GLM-4.5-Air-AWQ-FP16Mix | vLLM | 73 GB | 85.1 GB | $0.89/h 2x Nvidia A40 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalzai-org/GLM-4.5-Air-Base | vLLM | 221 GB | 249.4 GB | $5.33/h 8x Nvidia A100 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalzai-org/GLM-4.5-Air-FP8 | vLLM | 113 GB | 129 GB | $1.38/h 8x RTX 3090 |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").