mxbai-embed-large-v1 vs jina-embeddings-v3

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

mixedbread-ai · A
Params
340 M
Context
512
30d
4.9 M
apache-2.0 · commercial OK
jinaai · B
Params
570 M
Context
8,192
30d
3.2 M
cc-by-nc-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification mxbai-embed-large-v1 jina-embeddings-v3
Parameters 340 M 570 M
Architecture BertModel XLMRobertaModel
Context length 512 8,192
Licence apache-2.0 cc-by-nc-4.0
Commercial use Allowed Not allowed
Languages 1 94
Downloads 30d 4,888,095 3,241,662
Downloads all time 89.8 M 77.2 M
Quantizations on the Hub GGUF, SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-03-07 2024-09-05

Download trend

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

5.1 M3.2 M
mxbai-embed-large-v1 jina-embeddings-v3

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
jina-embeddings-v3 · fp16 1.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons