multilingual-e5-large vs mxbai-embed-large-v1
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | multilingual-e5-large | mxbai-embed-large-v1 |
|---|---|---|
| Parameters | 560 M | 340 M |
| Architecture | XLMRobertaModel | BertModel |
| Context length | 512 | 512 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 94 | 1 |
| Downloads 30d | 7,485,047 | 4,888,095 |
| Downloads all time | 97.6 M | 89.8 M |
| Quantizations on the Hub | SAFETENSORS | GGUF, SAFETENSORS |
| Gated | No | No |
| MTEB ArguAna (reported) | 30.725 | 81.508 |
| MTEB AmazonPolarityClassification (reported) | 93.485548197173 | 93.829783389729 |
| MTEB AmazonReviewsClassification (en) (reported) | 46.75122173518 | 48.741632277516 |
| MTEB AmazonCounterfactualClassification (en) (reported) | 73.327000921401 | 68.927365733598 |
| First seen on the Hub | 2023-06-30 | 2024-03-07 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
8.3 M4.9 M
multilingual-e5-large
mxbai-embed-large-v1
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
mxbai-embed-large-v1 · fp16
1.3 GB / 24 GB
multilingual-e5-large · fp16
3.0 GB / 24 GB