nomic-embed-code vs multilingual-e5-large-onnx
Specs, VRAM requirements and download trends — updated 1 November 2026.
nomic-ai · A · Open weights
Params
7.1 B
Context
32,768
30d
356 K
apache-2.0 · commercial OK
Qdrant · B · Open weights
Params
—
Context
512
30d
1.2 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | nomic-embed-code | multilingual-e5-large-onnx |
|---|---|---|
| Parameters | 7.1 B | — |
| Architecture | Qwen2Model | XLMRobertaModel |
| Context length | 32,768 | 512 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 356,168 | 1,235,754 |
| Downloads all time | 3.2 M | 3.9 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2025-03-24 | 2024-01-16 |
Download trend
Daily snapshots, last 82 days (21 Aug – 10 Nov)
1.2 M356 K
nomic-embed-code
multilingual-e5-large-onnx
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
nomic-embed-code · fp16
32.7 GB / 24 GB
Adjacent comparisons
all-MiniLM-L6-v2 vs multilingual-e5-large-onnx
bge-m3 vs multilingual-e5-large-onnx
paraphrase-multilingual-MiniLM-L12-v2 vs multilingual-e5-large-onnx
all-mpnet-base-v2 vs multilingual-e5-large-onnx
nomic-embed-text-v1.5 vs multilingual-e5-large-onnx
multilingual-e5-small vs multilingual-e5-large-onnx