multilingual-e5-small vs nomic-embed-text-v1
Specs, VRAM requirements and download trends — updated 10 November 2026.
intfloat · A · Open weights
Params
120 M
Context
512
30d
9.4 M
mit · commercial OK
nomic-ai · B · Open weights
Params
140 M
Context
8,192
30d
836 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | multilingual-e5-small | nomic-embed-text-v1 |
|---|---|---|
| Parameters | 120 M | 140 M |
| Architecture | BertModel | NomicBertModel |
| Context length | 512 | 8,192 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 94 | 1 |
| Downloads 30d | 9,411,746 | 835,626 |
| Downloads all time | 130.6 M | 60.0 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| MTEB ArguAna (reported) | 19.061 | 61.451 |
| MTEB AmazonPolarityClassification (reported) | 88.655562950325 | 91.503420774596 |
| MTEB AmazonReviewsClassification (en) (reported) | 43.731873486542 | 46.727080809228 |
| MTEB AmazonCounterfactualClassification (en) (reported) | 67.954536791031 | 71.016346555125 |
| First seen on the Hub | 2023-06-30 | 2024-01-31 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
12.6 M781 K
multilingual-e5-small
nomic-embed-text-v1
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
multilingual-e5-small · fp16
1.0 GB / 24 GB
nomic-embed-text-v1 · fp16
1.1 GB / 24 GB