paraphrase-multilingual-MiniLM-L12-v2 vs Qwen3-VL-Embedding-2B
Specs, VRAM requirements and download trends — updated 10 November 2026.
sentence-transformers · A · Open weights
Params
120 M
Context
512
30d
27.1 M
apache-2.0 · commercial OK
Qwen · B · Open weights
Params
2.1 B
Context
—
30d
517 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | paraphrase-multilingual-MiniLM-L12-v2 | Qwen3-VL-Embedding-2B |
|---|---|---|
| Parameters | 120 M | 2.1 B |
| Architecture | BertModel | Qwen3VLForConditionalGeneration |
| Context length | 512 | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 50 | — |
| Downloads 30d | 27,107,729 | 516,518 |
| Downloads all time | 671.8 M | 12.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2026-01-07 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
57.1 M517 K
paraphrase-multilingual-MiniLM-L12-v2
Qwen3-VL-Embedding-2B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
paraphrase-multilingual-MiniLM-L12-v2 · fp16
1.0 GB / 24 GB
Qwen3-VL-Embedding-2B · fp16
5.5 GB / 24 GB
Adjacent comparisons
all-MiniLM-L6-v2 vs paraphrase-multilingual-MiniLM-L12-v2
paraphrase-multilingual-MiniLM-L12-v2 vs bge-m3
paraphrase-multilingual-MiniLM-L12-v2 vs all-mpnet-base-v2
paraphrase-multilingual-MiniLM-L12-v2 vs nomic-embed-text-v1.5
paraphrase-multilingual-MiniLM-L12-v2 vs multilingual-e5-small
paraphrase-multilingual-MiniLM-L12-v2 vs paraphrase-multilingual-mpnet-base-v2