multilingual-e5-large-instruct vs pplx-embed-v1-0.6b
Specs, VRAM requirements and download trends — updated 10 November 2026.
intfloat · A · Open weights
Params
560 M
Context
512
30d
1.7 M
mit · commercial OK
perplexity-ai · B · Open weights
Params
600 M
Context
32,768
30d
461 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | multilingual-e5-large-instruct | pplx-embed-v1-0.6b |
|---|---|---|
| Parameters | 560 M | 600 M |
| Architecture | XLMRobertaModel | PPLXQwen3Model |
| Context length | 512 | 32,768 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | 94 | 1 |
| Downloads 30d | 1,746,705 | 460,968 |
| Downloads all time | 35.8 M | 2.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-02-08 | 2026-01-14 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.3 M461 K
multilingual-e5-large-instruct
pplx-embed-v1-0.6b
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
multilingual-e5-large-instruct · fp16
1.8 GB / 24 GB
pplx-embed-v1-0.6b · fp16
3.2 GB / 24 GB
Adjacent comparisons
Qwen3-Embedding-0.6B vs multilingual-e5-large-instruct
multilingual-e5-large vs multilingual-e5-large-instruct
bge-large-en-v1.5 vs multilingual-e5-large-instruct
bge-small-en-v1.5 vs multilingual-e5-large-instruct
Qwen3-Embedding-0.6B vs pplx-embed-v1-0.6b
multilingual-e5-large-instruct vs bge-reranker-large