AlibabaQwenbalancedVisionTool use

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

131K context·~98K words·33K max output
Context window131Ktokens
Max output33Ktokens

Context window

This model accepts 131K tokens in one request (~98K words of text).

Context window size131K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Fits
  • Small codebase
    About 150K words of text
    Won't fit
  • Full novel
    About 375K words of text
    Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window
131,072 tokens (131K)
Max output tokens
32,768 tokens (33K)
Speed tier
balanced
Provider
Alibaba
Model family
Qwen
Release date
Oct 2025

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (4)
Vision
Supported
Tool use
Supported
Function calling
Supported
Streaming
Supported
Not supported (4)
Extended thinking
Not supported
Web search
Not supported
Batch API
Not supported
Prompt caching
Not supported

Best for

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Frequently asked questions

Short answers about context size and how this model behaves.

Qwen3 VL 32B Instruct has a context window of 131K tokens (131,072 tokens). This covers most professional use cases including large code files, lengthy reports, and long conversation histories.

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