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Qwen/Qwen3-VL-Reranker-2B

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Primitive: /score · Score · 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 context

Overview

Hardware: — drives latency, throughput & cost

Size2.1B params
Tasks /score
Licenseapache-2.0
Latency35 ms
Throughput697 tok/s
Cost$0.319 /1M tok

Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.

Scoring

Inputstext · image
Max sequence length32,768

Benchmarks

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technology reranking en

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Corpus: 6,743 Queries: 360
Quality
ndcg at 10 0.6553
map at 10 0.5009
mrr at 10 0.7718
Performance L4 b1 c4
Reference →

Open source inference for agents

Open-source inference for the models behind your agents. Run it yourself, or let us run it for you.

Github 2.3K

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