mxbai-embed-large-v1 vs multilingual-e5-large-instruct

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
intfloat · B
Params
560 M
Context
512
30d
2.3 M
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification mxbai-embed-large-v1 multilingual-e5-large-instruct
Parameters 340 M 560 M
Architecture BertModel XLMRobertaModel
Context length 512 512
Licence apache-2.0 mit
Commercial use Allowed Allowed
Languages 1 94
Downloads 30d 4,888,095 2,288,112
Downloads all time 89.8 M 30.0 M
Quantizations on the Hub GGUF, SAFETENSORS SAFETENSORS
Gated No No
MTEB ArguAna (reported) 81.508 31.721
MTEB AmazonPolarityClassification (reported) 93.829783389729 96.286809236104
MTEB AmazonReviewsClassification (en) (reported) 48.741632277516 55.765103982664
MTEB AmazonCounterfactualClassification (en) (reported) 68.927365733598 70.048367338627
First seen on the Hub 2024-03-07 2024-02-08

Download trend

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

5.1 M2.1 M
mxbai-embed-large-v1 multilingual-e5-large-instruct

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
multilingual-e5-large-instruct · fp16 1.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons