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Run GLM-4.1V-9B-Thinking on Lium
Z.ai · Vision and text · 10.3B parameters · 20.6 GB BF16 weights · released 2025-06-28
It needs about 25 GB of VRAM. The cheapest setup that runs it is 2x RTX 3090 (48 GB), from $0.40 per hour, billed per second.
Other GPUs that run it
How to run it
Rent the pod above, open a terminal over SSH or Jupyter and serve zai-org/GLM-4.1V-9B-Thinking:
vllm serve zai-org/GLM-4.1V-9B-Thinking --tensor-parallel-size 2Claude Code and Codex can do all of it through the Lium CLI.
Frequently asked questions
How much VRAM does GLM-4.1V-9B-Thinking need?
About 20.6 GB for the released BF16 weights, so plan on 25 GB with room for activations and KV cache at a short context. Longer contexts and bigger batches need more.
What GPU should I rent to run GLM-4.1V-9B-Thinking?
2x RTX 3090 (48 GB). On Lium that setup costs from $0.40 per hour, billed per second with no minimum.
For AI agents (CLI install, agent skill, headless signup): llms-full.txt