Qwen
Qwen
Embedding model · China ·Jan 2026

Qwen3-VL-Embedding-2B

Embedding Open Weights
2B
Parameters
32.8K
Context

About Qwen3-VL-Embedding-2B

Qwen3-VL-Embedding-2B is an AI model developed by Qwen, in the embedding category, released in 2026, made available as an open-weights model with 2B params. Smaller 2B variant of the Qwen3-VL multimodal embedding family, processing text, images, screenshots and videos across 3.

On this page you'll find Qwen3-VL-Embedding-2B's full specifications, including a context window of 32.8K tokens. Review provider pricing and benchmark scores below, or compare Qwen3-VL-Embedding-2B 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-Embedding-2B? ▶

Smaller 2B variant of the Qwen3-VL multimodal embedding family, processing text, images, screenshots and videos across 3 It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Qwen3-VL-Embedding-2B? ▶

Qwen3-VL-Embedding-2B was developed by Qwen and released in 2026.

Is Qwen3-VL-Embedding-2B open source or proprietary? ▶

Qwen3-VL-Embedding-2B 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-Embedding-2B's context window? ▶

Qwen3-VL-Embedding-2B supports a context window of 32.8K tokens, and has 2B params.

How much does Qwen3-VL-Embedding-2B cost? ▶

Pricing for Qwen3-VL-Embedding-2B depends on the provider. See the providers table on this page for the latest API rates.

How does Qwen3-VL-Embedding-2B perform on benchmarks? ▶

Benchmark scores for Qwen3-VL-Embedding-2B 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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