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Qwen3 VL 32B

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qwen/qwen3-vl-32b-instruct

Run Qwen3 VL 32B in a hosted Python Task with structured output and file inputs.

Alibaba's Qwen3 VL multimodal model via OpenRouter. Supports text, images, and video inputs with 262K context window. Features strong visual tool use capabilities and agentic interaction for complex multimodal tasks.

Deprecated model

This model is deprecated and not recommended for new projects.

What Qwen3 VL 32B supports in qbash

  • Structured outputReplies as JSON that matches a schema you pass.
  • Image inputReads WEBP, PNG, JPEG and GIF images.
  • Document inputReads PDF, TEXT, DOC, XLS, RTF and 7 more files.

What is qbash?

qbash is where you build Tasks: Python programs that run a business process on managed infrastructure. Your code runs the steps and calls a model like Qwen3 VL 32B only at the ones that need judgment, with integrations, memory and files available in the same script.

A developer writes the Task once, and anyone on the team runs it from a form, on a schedule, from a webhook or from chat. Each Task is versioned and every run is logged.

Specifications

Context window
262Ktokens
Max output
8,192tokens
Temperature
0 to 1default 0.7

Structured output with Qwen3 VL 32B in a Python Task

qbash.ai.raw calls Qwen3 VL 32B from a Task. Pass a JSON Schema as output_schema and the reply comes back as a Python dict that matches it, ready to route to a connector.

main.py
ticket = qbash.inputs.get("ticket")

triage = qbash.ai.raw(
f"Summarize this support ticket and rate its urgency:\n\n{ticket}",
model="qwen/qwen3-vl-32b-instruct",
output_schema={
"type": "object",
"properties": {
"summary": {"type": "string"},
"urgency": {"type": "string", "enum": ["low", "medium", "high"]},
},
"required": ["summary", "urgency"],
},
)

# triage is a dict, e.g. {"summary": "...", "urgency": "high"}
if triage["urgency"] == "high":
qbash.integrations.slack.create_message(
channel="#support",
text=triage["summary"],
)

qbash.output(triage)
Structured output in Tasks

Qwen3 VL 32B pricing

Input$0.104 per 1M tokens
Output$0.416 per 1M tokens

Standard rates in USD.

Supported file formats

Images

  • WEBP up to 5 MB
  • PNG up to 5 MB
  • JPEG up to 5 MB
  • GIF up to 5 MB

Documents

  • PDF
  • TEXT
  • DOC
  • XLS
  • RTF
  • DOCX
  • XLSX
  • PPTX
  • PPT
  • ODT
  • ODP
  • ODS

Automate Qwen3 VL 32B with qbash