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OPEN MODELS / Vision language models

Run DeepSeek-V4.1-Flash-oQ3e-mtp on a cloud GPU

DeepSeek-V4.1-Flash-oQ3e-mtp is a Vision language models model by Jundot. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

Rent A100 SXM4 from $3.24/hr
Parameters
112B
GPU memory needed
≈ 270 GB
License
mit
Downloads
1,457
Updated Oct 25, 2026

GPUs it fits on today

Our estimate is about 270 GB for inference with U32 weights, including working memory. Real use depends on resolution, batch size and context length. With 4-bit quantization it needs about 82 GB.

GPUMemoryPer hour10 hours
4× A100 SXM4320 GB$3.24$32.40Rent
8× Q RTX 8000360 GB$4.32$43.20Rent
9× RTX 5090288 GB$8.10$81.00Rent
12× RTX 4090288 GB$8.88$88.80Rent
4× RTX PRO 6000 Max-Q384 GB$9.12$91.20Rent

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

How to run DeepSeek-V4.1-Flash-oQ3e-mtp

  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 Jundot/DeepSeek-V4.1-Flash-oQ3e-mtp --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 DeepSeek-V4.1-Flash-oQ3e-mtp need?
By our estimate about 270 GB for inference (112B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run DeepSeek-V4.1-Flash-oQ3e-mtp?
From $3.24 per hour on 4× A100 SXM4, billed per second. Ten hours cost about $32.40.
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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