Qwen3-Embedding-0.6B vs mxbai-embed-large-v1

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

Qwen · A
Params
600 M
Context
32,768
30d
9.8 M
apache-2.0 · commercial OK
mixedbread-ai · B
Params
340 M
Context
512
30d
4.9 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-Embedding-0.6B mxbai-embed-large-v1
Parameters 600 M 340 M
Architecture Qwen3ForCausalLM BertModel
Context length 32,768 512
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1
Downloads 30d 9,771,658 4,888,095
Downloads all time 74.8 M 89.8 M
Quantizations on the Hub SAFETENSORS GGUF, SAFETENSORS
Gated No No
First seen on the Hub 2025-06-03 2024-03-07

Download trend

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

10.5 M4.9 M
Qwen3-Embedding-0.6B mxbai-embed-large-v1

VRAM side by side

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

mxbai-embed-large-v1 · fp16 1.3 GB / 24 GB
✅ Runs comfortably
Qwen3-Embedding-0.6B · fp16 1.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons