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OPEN MODELS / Vision language models

Run Qwen3-VL-235B-A22B-Instruct on a cloud GPU

Qwen3-VL-235B-A22B-Instruct is a Vision language models model by Qwen. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

Parameters
236B
GPU memory needed
≈ 567 GB
License
apache-2.0
Downloads
321,088
Updated Nov 26, 2025

GPUs it fits on today

Our estimate is about 567 GB for inference with BF16 weights, including working memory. Real use depends on resolution, batch size and context length. With 4-bit quantization it needs about 171 GB.

GPUMemoryPer hour10 hours
8× RTX PRO 6000 WS768 GB$18.88$188.80Rent
8× RTX PRO 6000 S768 GB$19.44$194.40Rent
8× A100640 GB$21.28$212.80Rent
8× RTX PRO 6000768 GB$33.68$336.80Rent
8× H100640 GB$38.40$384.00Rent

Live starting prices from our catalog. You pay per second while the machine runs.

How to run Qwen3-VL-235B-A22B-Instruct

  1. 01

    Rent a GPU

    Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.

  2. 02

    Open a terminal or Jupyter

    Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.

  3. 03

    Download and run the model

    Run the commands below. The weights download straight from Hugging Face to your machine.

pip install -U vllm
vllm serve Qwen/Qwen3-VL-235B-A22B-Instruct --host 0.0.0.0 --port 8000

Why run it yourself?

Run document and image understanding on your own GPU: no per-image fee, and files stay on your machine.

Questions

How much GPU memory does Qwen3-VL-235B-A22B-Instruct need?
By our estimate about 567 GB for inference (236B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run Qwen3-VL-235B-A22B-Instruct?
From $18.88 per hour on 8× RTX PRO 6000 WS, billed per second. Ten hours cost about $188.80.
Do I need a subscription?
No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.

Try it on your own GPU in minutes

Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.

  • Per-second billing in USD
  • PyTorch and CUDA ready in minutes
  • Rent from ChatGPT or Claude too

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