All tasks / Models
Qwen3-Embedding-8B
Alibaba's Apache-2.0 open-weights multilingual text embedding models in 0.6B, 4B and 8B sizes.
- Alibaba (Qwen)
- Open weights
- Released Jun 2025
Where it ranks
- SEmbeddings & retrievalModels · Local · 70.6% on MTEB(Multilingual, v2)
Facts
- Vendor
- Alibaba (Qwen)
- Family
- Qwen3-Embedding
- Released
- Jun 2025
- Weights
- Open: download and run it yourself
- License
- Apache-2.0
- Parameters
- 7.57B
- GPU memory to run locally
- ~16 GB (Derived: 7.57B parameters x 2 bytes = ~15.1 GB of bf16 weights; 4B and 0.6B sizes and GGUF builds also exist.)
- Access
- Free (open weights)
- Last verified
- 19 Oct 2026
Benchmark results
| Benchmark | Result | Entry on the leaderboard | As of | Source |
|---|---|---|---|---|
| Agentset Embedding Model Leaderboard | 1,510 | Qwen3 Embedding 8BELO from GPT-5-judged pairwise comparisons; rank 8 of 18; win rate 48.8%; page says 'Last updated: February 15, 2026'. | 15 Feb 2026 | agentset.ai |
| MTEB(eng, v2) | 75.2% | Qwen/Qwen3-Embedding-8BMean (Task) over all 41 tasks; board rank 5 (Borda); board zero-shot 95%; read from the leaderboard's public API. | 19 Oct 2026 | mteb-leaderboard-backend.hf.space |
| MTEB(Multilingual, v2) | 70.6% | Qwen/Qwen3-Embedding-8BMean (Task) over all 131 tasks; board rank 4 (Borda); board zero-shot 99%; read from the leaderboard's public API. | 19 Oct 2026 | mteb-leaderboard-backend.hf.space |
Where you can use it
- SOllamaVector databases & engines · Local
- SOpenRouterVector databases & engines · Cloud
- SText Embeddings InferenceVector databases & engines · Local
- SvLLMVector databases & engines · Local