mxbai-embed-large-v1 vs bge-reranker-large

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
BAAI · B
Params
560 M
Context
512
30d
2.4 M
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification mxbai-embed-large-v1 bge-reranker-large
Parameters 340 M 560 M
Architecture BertModel XLMRobertaForSequenceClassification
Context length 512 512
Licence apache-2.0 mit
Commercial use Allowed Allowed
Languages 1 2
Downloads 30d 4,888,095 2,415,656
Downloads all time 89.8 M 30.6 M
Quantizations on the Hub GGUF, SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-03-07 2023-09-12

Download trend

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

5.1 M2.1 M
mxbai-embed-large-v1 bge-reranker-large

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
bge-reranker-large · fp16 3.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons