whisper-large-v3-turbo vs whisper-medium-gguf

Specs, VRAM requirements and download trends — updated 10 November 2026.

openai · A · Open weights
Params
810 M
Context
—
30d
5.2 M
mit · commercial OK
handy-computer · B · Open weights
Params
760 M
Context
—
30d
662 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification whisper-large-v3-turbo whisper-medium-gguf
Parameters 810 M 760 M
Architecture WhisperForConditionalGeneration —
Context length — —
Licence mit apache-2.0
Commercial use Allowed Allowed
Languages 99 99
Downloads 30d 5,175,000 662,167
Downloads all time 127.5 M 2.6 M
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2024-10-01 2026-04-27

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

8.0 M489 K
whisper-large-v3-turbo whisper-medium-gguf

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

whisper-medium-gguf · Q4_K_M 1.2 GB / 24 GB
✅ Runs comfortably
whisper-large-v3-turbo · fp16 2.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons