Qwen3 32B

qwen/qwen3-32b

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

Alibaba's balanced Qwen3 model via OpenRouter with 32B parameters. Apache 2.0 licensed, offering strong performance with efficient resource usage and multilingual support.

What Qwen3 32B supports in qbash

Structured outputReplies as JSON that matches a schema you pass.
Extended thinkingReasons through a problem before it replies.
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 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.

How Tasks work

Specifications

Context window: 128Ktokens
Max output: 8,192tokens
Temperature: 0 to 1default 1

Structured output with Qwen3 32B in a Python Task

qbash.ai.raw calls Qwen3 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/qwen3-32b",
    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

Extended thinking with Qwen3 32B

Turn on Thinking in the same Settings popover to have Qwen3 32B reason through a problem before it replies.

Qwen3 32B pricing

Input	$0.08 per 1M tokens
Output	$0.28 per 1M tokens

Standard rates in USD.

Supported file formats

Documents

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