GPT-4o mini

gpt-4o-mini

Run GPT-4o mini in a hosted Python Task with structured output, web search, file inputs and MCP connectors.

Fast, affordable small model for focused tasks. Accepts text and image inputs with structured outputs. Optimized for cost-effective intelligent processing.

What GPT-4o mini supports in qbash

Structured outputReplies as JSON that matches a schema you pass.
MCP connectorsCalls tools on MCP connectors during a request.
Web searchSearches the web while it answers.
Image inputReads WEBP, PNG, JPEG and GIF images.
Document inputReads TEXT, PDF, DOC, PPTX, DOCX and 1 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 GPT-4o mini 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: 16,384tokens
Temperature: 0 to 2default 1

Structured output with GPT-4o mini in a Python Task

qbash.ai.raw calls GPT-4o mini 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="gpt-4o-mini",
    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

Connect GPT-4o mini to MCP servers

In qbash chat and a Task's inline prompts, you can attach MCP connectors to GPT-4o mini. It calls their tools during the request, for example to read a Postgres table or post to a Slack channel.

This is MCP on the model side. Adding MCP servers to Codex or ChatGPT is a separate setup, and qbash can publish your Tasks as an MCP server for those clients as well.

Browse connectors Connect a client

Use GPT-4o mini with web search

Turn on Web Search in an inline prompt's model bar and GPT-4o mini searches the web while it answers. Searches are billed at $10.00 per 1,000.

Provider web tools

GPT-4o mini pricing

Input	$0.15 per 1M tokens
Output	$0.60 per 1M tokens
Cached input	$0.075 per 1M tokens
Web search	$10.00 per 1K searches

Standard rates in USD.

Supported file formats

Images

WEBP up to 20 MB
PNG up to 20 MB
JPEG up to 20 MB
GIF up to 20 MB

Documents

TEXT
PDF
DOC
PPTX
DOCX
XLSX