Qwen3-Embedding-0.6B vs multilingual-e5-large-instruct
Specs, VRAM requirements and download trends — updated 21 September 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-Embedding-0.6B | multilingual-e5-large-instruct |
|---|---|---|
| Parameters | 600 M | 560 M |
| Architecture | Qwen3ForCausalLM | XLMRobertaModel |
| Context length | 32,768 | 512 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | 94 |
| Downloads 30d | 8,652,744 | 1,575,893 |
| Downloads all time | 87.7 M | 32.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-06-03 | 2024-02-08 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
10.5 M1.6 M
Qwen3-Embedding-0.6B
multilingual-e5-large-instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
multilingual-e5-large-instruct · fp16
1.8 GB / 24 GB
Qwen3-Embedding-0.6B · fp16
1.9 GB / 24 GB