bge-large-en-v1.5 vs deepset-mxbai-embed-de-large-v1
Specs, VRAM requirements and download trends — updated 10 November 2026.
mixedbread-ai · B · Open weights
Params
487 M
Context
512
30d
504 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-large-en-v1.5 | deepset-mxbai-embed-de-large-v1 |
|---|---|---|
| Parameters | 340 M | 487 M |
| Architecture | BertModel | XLMRobertaModel |
| Context length | 512 | 512 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 2 |
| Downloads 30d | 8,166,171 | 504,335 |
| Downloads all time | 179.7 M | 4.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-09-12 | 2024-07-12 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
13.8 M354 K
bge-large-en-v1.5
deepset-mxbai-embed-de-large-v1
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
deepset-mxbai-embed-de-large-v1 · fp16
1.6 GB / 24 GB
bge-large-en-v1.5 · fp16
2.0 GB / 24 GB