Qwen/Qwen3-VL-Embedding-2B
Primitive: /encode · Encode ·
qwen3_vl
The Qwen3-VL-Embedding and Qwen3-VL-Reranker model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model.
MultimodalLong contextDense
View on Hugging Face → Guide: Qwen3 embeddings and rerankers guide → Fine-tuned from Qwen/Qwen3-VL-2B-Instruct
Overview
Hardware: — drives latency, throughput & cost
| Size | 2.1B params |
|---|---|
| Tasks | /encode |
| License | apache-2.0 |
| Latency | 36 ms |
| Throughput | 494 tok/s |
| Cost | $0.450 /1M tok |
Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.
Embedding
| Output types | Dense |
|---|---|
| Dimensions | dense: 2,048 |
| Max sequence length | 32,768 |
| Inputs | text · image |
Benchmarks
FiQA2018
Financial opinion mining and question answering
Corpus: 57,599 Queries: 648
Performance L4 b1 c4
Corpus 494 tok/s
Corpus p50 35.9ms
Flickr30kI2TRetrieval
Image-to-text retrieval: retrieve captions from images
Corpus: 31,783 Queries: 1,000
Quality
ndcg at 10 0.8751
map at 10 0.8017
mrr at 10 0.9653
Performance L4 b1 c4
Corpus 494 tok/s
Corpus p50 35.9ms
Query 0.0 mpix/s
Query p50 4.3s
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