Run Whisper large-v3 on a VPS.

Prices checked

The cheapest VPS that runs Whisper large-v3 is Leaseweb VPS 1 at $5.02 a month, with 6 GB of RAM for the 4.6 GB it needs, checked .

Best plans for Whisper large-v3

Cheapest first, among plans that fit.

  1. 1

    VPS 1 · 4 vCPU / 6 GB · Europe

    Leaseweb · 4C · 6 GB · 100 GB NVMe

    $5.02/mo
  2. 2

    VPS 1 · 4 vCPU / 6 GB · UK

    Leaseweb · 4C · 6 GB · 100 GB NVMe

    $6.02/mo
    View
  3. 3

    VPS 1 · 4 vCPU / 6 GB · US

    Leaseweb · 4C · 6 GB · 100 GB NVMe

    $6.29/mo
    View
  4. 4

    VPS 1 · 4 vCPU / 6 GB · Singapore

    Leaseweb · 4C · 6 GB · 100 GB NVMe

    $7.21/mo
    View
  5. 5

    VPS 2 · 6 vCPU / 16 GB · Europe

    Leaseweb · 6C · 16 GB · 200 GB NVMe

    $9.04/mo
    View
  6. 6

    CX33

    Hetzner · 4C · 8 GB · 80 GB NVMe

    not available now
    $9.49/mo
    View

What it needs

RAM needed

4.6 GB

CPU inference at native format

Weights

3.1 GB

native format

OS and runtime

1.5 GB

headroom

Speech-to-text via whisper.cpp; ~3 GB in F16, CPU-friendly for batch transcription.

Size
1.54B parameters
Kind
speech
Released
2023-11
License
Apache-2.0

Facts from Hugging Face: sizes from bits per weight, 3,507,234 downloads.

Or rent a GPU

every GPU price

1 provider rents the RTX A5000, with 24 GB of GPU memory against the 4.6 GB Whisper large-v3 needs.

Cheapest board that fits

RTX A5000

24 GB of GPU memory

On demand

$0.16per GPU an hour

RunPod

Held for a month

$116.80

730 hours of RTX A5000 · Community Cloud

How we count

On a CPU-only VPS Whisper large-v3 needs about 4.6 GB of RAM: 3.1 GB of weights in the model's native format and 1.5 GB for the OS and runtime. 260 of the 527 plans in the index fit and include a disk. A plan runs it comfortably with 20% headroom over the total, and is a tight fit with exactly enough.

A GPU rate is per GPU for an hour, and the monthly figure is 730 hours of the whole instance at it, tax excluded.

Frequently asked

How much RAM does Whisper large-v3 need?
About 4.6 GB for CPU inference at Q4_K_M: 3.1 GB of weights, 0 MB of KV cache at 8,192 tokens of context, and 1.5 GB of headroom. Longer contexts need more KV cache (0 KB per token for this model).
What is the cheapest VPS that can run Whisper large-v3?
Leaseweb VPS 1 · 4 vCPU / 6 GB · Europe (6 GB RAM, 4 vCPU) at $5.02/mo excl. VAT runs it comfortably as of 31 Oct 2026.
How fast will Whisper large-v3 run on a VPS without a GPU?
Speech models are small and run well on CPUs. Throughput scales with vCPUs rather than RAM.

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