whisper-large-v3-turbo vs Qwen3-ForcedAligner-0.6B

Specs, VRAM requirements and download trends — updated 21 September 2026.

openai · A
Params
810 M
Context
30d
6.7 M
mit · commercial OK
Qwen · B
Params
920 M
Context
30d
417 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification whisper-large-v3-turbo Qwen3-ForcedAligner-0.6B
Parameters 810 M 920 M
Architecture WhisperForConditionalGeneration Qwen3ASRForConditionalGeneration
Context length
Licence mit apache-2.0
Commercial use Allowed Allowed
Languages 99
Downloads 30d 6,703,764 417,176
Downloads all time 117.9 M 3.0 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-10-01 2026-01-28

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

8.7 M388 K
whisper-large-v3-turbo Qwen3-ForcedAligner-0.6B

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
Qwen3-ForcedAligner-0.6B · fp16 2.7 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons