speaker-diarization-3.1 vs whisper-large-v3-turbo

Specs, VRAM requirements and download trends — updated 6 August 2026.

pyannote · A
Params
Context
30d
8.9 M
mit · commercial OK
openai · B
Params
810 M
Context
30d
8.7 M
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification speaker-diarization-3.1 whisper-large-v3-turbo
Parameters 810 M
Architecture WhisperForConditionalGeneration
Context length
Licence mit mit
Commercial use Allowed Allowed
Languages 99
Downloads 30d 8,909,178 8,715,451
Downloads all time 333.7 M 106.8 M
Quantizations on the Hub SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2023-11-16 2024-10-01

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

8.9 M8.5 M
speaker-diarization-3.1 whisper-large-v3-turbo

VRAM side by side

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

whisper-large-v3-turbo · fp16 2.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons