Qwen3-Embedding-0.6B vs embeddinggemma-2-ONNX
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
600 M
Context
32,768
30d
9.1 M
apache-2.0 · commercial OK
onnx-community · B · Open weights
Params
744 M
Context
—
30d
531 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-Embedding-0.6B | embeddinggemma-2-ONNX |
|---|---|---|
| Parameters | 600 M | 744 M |
| Architecture | Qwen3ForCausalLM | EmbeddingGemma2Model |
| Context length | 32,768 | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 1 |
| Downloads 30d | 9,129,136 | 530,928 |
| Downloads all time | 102.8 M | 623 K |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2025-06-03 | 2026-10-04 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
9.7 M367 K
Qwen3-Embedding-0.6B
embeddinggemma-2-ONNX
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-Embedding-0.6B · fp16
1.9 GB / 24 GB