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Qwen3 VL 32B Instruct

Overview

Qwen3-VL is a large multimodal model that unifies vision, language, and reasoning to achieve human-level perception and cognition across text, images, and video. Built on a 235B-parameter architecture, it integrates early joint training of visual and textual modalities for strong language grounding. The model supports up to a 1 million-token context window and excels at visual understanding, spatial reasoning, long video comprehension, and tool-based interaction. It can generate code from images, perform precise 2D/3D object grounding, and operate digital interfaces like a visual agent. The “Instruct” version rivals Gemini 2.5 Pro in perception benchmarks, while the “Thinking” version leads in multimodal reasoning and STEM tasks. With multilingual OCR, creative writing, and fine-grained scene interpretation, Qwen3-VL establishes a new open-source frontier for integrated vision-language intelligence.

Qwen3 VL 32B Instruct was released on September 22, 2025.

Performance

Timeline

ReleasedUnknown
Knowledge CutoffUnknown

Specifications

Parameters
33.0B
License
Apache 2.0
Training Data
Unknown
Tags
tuning:instruct

Benchmarks

Qwen3 VL 32B Instruct Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Fri Jan 02 2026
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Pricing

Pricing, performance, and capabilities for Qwen3 VL 32B Instruct across different providers:

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FAQ

Common questions about Qwen3 VL 32B Instruct

Qwen3 VL 32B Instruct was released on September 22, 2025.
Qwen3 VL 32B Instruct has 33.0 billion parameters.