Qwen
Qwen
Embedding model · China ·Jan 2026

Qwen3-VL-Reranker-8B

Embedding Open Weights
8B
Parameters
32.8K
Context

About Qwen3-VL-Reranker-8B

Qwen3-VL-Reranker-8B is an AI model developed by Qwen, in the embedding category, released in 2026, made available as an open-weights model with 8B params. Multimodal reranker built on Qwen3-VL, scoring query-document relevance across text, images, screenshots, videos and mix.

On this page you'll find Qwen3-VL-Reranker-8B's full specifications, including a context window of 32.8K tokens. Review provider pricing and benchmark scores below, or compare Qwen3-VL-Reranker-8B head-to-head with other embedding models.

→ More models by Qwen → All embedding models → AI benchmarks leaderboard

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Frequently asked questions

What is Qwen3-VL-Reranker-8B? ▶

Multimodal reranker built on Qwen3-VL, scoring query-document relevance across text, images, screenshots, videos and mix It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Qwen3-VL-Reranker-8B? ▶

Qwen3-VL-Reranker-8B was developed by Qwen and released in 2026.

Is Qwen3-VL-Reranker-8B open source or proprietary? ▶

Qwen3-VL-Reranker-8B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

What is Qwen3-VL-Reranker-8B's context window? ▶

Qwen3-VL-Reranker-8B supports a context window of 32.8K tokens, and has 8B params.

How much does Qwen3-VL-Reranker-8B cost? ▶

Pricing for Qwen3-VL-Reranker-8B depends on the provider. See the providers table on this page for the latest API rates.

How does Qwen3-VL-Reranker-8B perform on benchmarks? ▶

Benchmark scores for Qwen3-VL-Reranker-8B are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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