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QwenQwen 3Open SourceOct 23, 2025

Qwen: Qwen3 VL 32B Instruct

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 Window
131K
tokens
Max Output
33K
tokens
Released
Oct 23, 2025
Arena Rank
—

Capabilities

👁Vision
🧠Reasoning
🔧Tool Calling
⚡Prompt Caching
🖥Computer Use
🎨Image Generation

Supported Parameters

Frequency Penalty
Reduce repetition
Logit Bias
Adjust token weights
Max Tokens
Output length limit
min_p
Presence Penalty
Encourage new topics
Repetition Penalty
Penalize repeated tokens
Response Format
JSON mode / structured output
Seed
Deterministic outputs
Stop Sequences
Custom stop tokens
structured_outputs
Temperature
Controls randomness
Tool Choice
Control tool usage
Tool Calling
Function calling support
Top K
Top-K sampling
Top P
Nucleus sampling

Pricing Comparison

RouterInput / 1MOutput / 1MCached Input / 1M
OpenRouter$0.10$0.42—
Vercel AI$0.22$0.88—

Model IDs

OpenRouterqwen/qwen3-vl-32b-instruct
Hugging FaceQwen/Qwen3-VL-32B-Instruct ↗

Tags

visiontool-calling
Compare with another model

Compare with…

Qwen: Qwen3 VL 30B A3B InstructQwen/Qwen3 32BQwen: Qwen3 VL 8B Thinking

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