Qwen3.8 2.4T A95B

qwen/qwen3.8-2.4t-a95b

Run Qwen3.8 2.4T A95B in a hosted Python Task with structured output, extended thinking and file inputs.

Alibaba's Qwen3.8 2.4T A95B via OpenRouter. The open-weight release of Qwen3.8 Max, a mixture-of-experts reasoning model (2.4T total, 95B active parameters) with a 1M token context window.

What Qwen3.8 2.4T A95B supports in qbash

Structured outputReplies as JSON that matches a schema you pass.
Extended thinkingReasons through a problem before it replies.
Reasoning effort3 levels, from low to xhigh.
Document inputReads PDF, TEXT, DOC, XLS, RTF and 7 more files.
Prompt cachingRepeated input is billed at the cached rate.

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 Qwen3.8 2.4T A95B 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: 1.05Mtokens
Max output: 131,072tokens
Temperature: 0 to 1default 1

Structured output with Qwen3.8 2.4T A95B in a Python Task

qbash.ai.raw calls Qwen3.8 2.4T A95B 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/qwen3.8-2.4t-a95b",
    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

Reasoning effort with Qwen3.8 2.4T A95B

Set Effort to low, medium and xhigh in the prompt's Settings. Higher effort spends more tokens on reasoning before the reply.

Turn on Thinking in the same Settings popover to have Qwen3.8 2.4T A95B reason through a problem before it replies.

Qwen3.8 2.4T A95B pricing

Input	$2.00 per 1M tokens
Output	$6.00 per 1M tokens
Cached input	$0.25 per 1M tokens

Standard rates in USD.

Supported file formats

Documents

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