bge-large-en-v1.5 vs Qwen3-Embedding-0.6B

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

BAAI · A · Open weights
Params
340 M
Context
512
30d
8.2 M
mit · commercial OK
Qwen · B · Open weights
Params
600 M
Context
32,768
30d
9.1 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-large-en-v1.5 Qwen3-Embedding-0.6B
Parameters 340 M 600 M
Architecture BertModel Qwen3ForCausalLM
Context length 512 32,768
Licence mit apache-2.0
Commercial use Allowed Allowed
Languages 1 —
Downloads 30d 8,166,171 9,129,136
Downloads all time 179.7 M 102.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-09-12 2025-06-03

Download trend

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

13.8 M6.6 M
bge-large-en-v1.5 Qwen3-Embedding-0.6B

VRAM side by side

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

Qwen3-Embedding-0.6B · fp16 1.9 GB / 24 GB
✅ Runs comfortably
bge-large-en-v1.5 · fp16 2.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons