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Qwen: Qwen3 VL EmbeddingActive

qwen/qwen3-vl-embedding
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The Qwen3-VL-Embedding model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model. Specifically designed for multimodal information retrieval and cross-modal understanding, this suite accepts diverse inputs including text, images, screenshots, and videos, as well as inputs containing a mixture of these modalities.

By:QwenInput Type:Output Type:Publish time:2026-01-08

Providers

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ProviderCache Hit RateContext
Alibaba Cloud
alibaba
-$0.1/ M tokens$0/ M tokensRead:-/ M tokensWrite:-/ M tokens8.19K--

Uptime

Direct request success rate on AI Gateway and per-provider.

Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

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Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

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Activity

Token volume and request traffic to this model over time.

Token Consumption

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

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Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token Ranking

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