Qwen: Qwen3 VL 32B Instruct
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Identifiers & provenance
- Primary ID
- qwen/qwen3-vl-32b-instruct
- OpenRouter ID
- qwen/qwen3-vl-32b-instruct
- Canonical slug
- qwen/qwen3-vl-32b-instruct
Source semantics
- Arena rank is a human-preference leaderboard signal, not a universal truth metric.
- OpenRouter usage/popularity reflects adoption/traffic, not benchmark quality.
- Pricing fields may differ by provider and can include extra modes beyond prompt/completion.
Read more on Methodology & data sources.
Description
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. Optimized for agentic interaction and visual tool use, Qwen3-VL-32B delivers state-of-the-art performance for complex real-world multimodal tasks.
Raw fields snapshot
{
"id": "qwen/qwen3-vl-32b-instruct",
"name": "Qwen: Qwen3 VL 32B Instruct",
"description": "Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. Optimized for agentic interaction and visual tool use, Qwen3-VL-32B delivers state-of-the-art performance for complex real-world multimodal tasks.",
"created": 1761231332,
"canonical_slug": "qwen/qwen3-vl-32b-instruct",
"hugging_face_id": "Qwen/Qwen3-VL-32B-Instruct",
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"architecture": {
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],
"tokenizer": "Qwen",
"instruct_type": null
},
"input_modalities": [
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],
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"supported_parameters": [
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"pricing": {
"prompt": "0.000000104",
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"PPM": {
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},
"openrouter_raw": {
"id": "qwen/qwen3-vl-32b-instruct",
"canonical_slug": "qwen/qwen3-vl-32b-instruct",
"hugging_face_id": "Qwen/Qwen3-VL-32B-Instruct",
"name": "Qwen: Qwen3 VL 32B Instruct",
"created": 1761231332,
"description": "Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. Optimized for agentic interaction and visual tool use, Qwen3-VL-32B delivers state-of-the-art performance for complex real-world multimodal tasks.",
"context_length": 131072,
"architecture": {
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"input_modalities": [
"text",
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],
"tokenizer": "Qwen",
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},
"pricing": {
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},
"top_provider": {
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"supported_parameters": [
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"default_parameters": {
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"frequency_penalty": null
},
"expiration_date": "2026-02-25"
}
}