Qwen3-Embedding-0.6B vs pplx-embed-v1-0.6b

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

Qwen · A

Qwen3-Embedding-0.6B

Params

600 M

Context

32,768

30d

9.8 M

apache-2.0 · commercial OK

perplexity-ai · B

pplx-embed-v1-0.6b

Params

600 M

Context

32,768

30d

461 K

mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification	Qwen3-Embedding-0.6B	pplx-embed-v1-0.6b
Parameters	600 M	600 M
Architecture	Qwen3ForCausalLM	PPLXQwen3Model
Context length	32,768	32,768
Licence	apache-2.0	mit
Commercial use	Allowed	Allowed
Languages	—	1
Downloads 30d	9,771,658	460,968
Downloads all time	74.8 M	2.2 M
Quantizations on the Hub	SAFETENSORS	SAFETENSORS
Gated	No	No
First seen on the Hub	2025-06-03	2026-01-14

Download trend

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

10.5 M461 K

Qwen3-Embedding-0.6B pplx-embed-v1-0.6b

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

pplx-embed-v1-0.6b · fp16 3.2 GB / 24 GB

✅ Runs comfortably

Adjacent comparisons

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

Qwen3-Embedding-0.6B vs multilingual-e5-large

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

Qwen3-Embedding-0.6B vs jina-embeddings-v3

Qwen3-Embedding-0.6B vs all-MiniLM-L6-v2

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