speaker-diarization-3.1 vs whisper-large-v3

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

pyannote · A
Params
Context
30d
8.9 M
mit · commercial OK
openai · B
Params
1.5 B
Context
30d
5.5 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification speaker-diarization-3.1 whisper-large-v3
Parameters 1.5 B
Architecture WhisperForConditionalGeneration
Context length
Licence mit apache-2.0
Commercial use Allowed Allowed
Languages 99
Downloads 30d 8,909,178 5,497,354
Downloads all time 333.7 M 139.4 M
Quantizations on the Hub SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2023-11-16 2023-11-07

Download trend

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

8.9 M5.5 M
speaker-diarization-3.1 whisper-large-v3

VRAM side by side

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

whisper-large-v3 · fp16 10.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons