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Grok 3

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grok-3

Run Grok 3 in a hosted Python Task with structured output, web search and file inputs.

Retired slug; xAI now serves Grok 4.3 with no reasoning.

Deprecated model

This model is deprecated and not recommended for new projects. It retires on May 15, 2026.

What Grok 3 supports in qbash

  • Structured outputReplies as JSON that matches a schema you pass.
  • Web searchSearches the web while it answers.
  • 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 Grok 3 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
1Mtokens
Max output
131,072tokens
Temperature
0 to 2default 1

Structured output with Grok 3 in a Python Task

qbash.ai.raw calls Grok 3 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="grok-3",
    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

Use Grok 3 with web search

Turn on Web Search in an inline prompt's model bar and Grok 3 searches the web while it answers.

Provider web tools

Grok 3 pricing

Input$3.00 per 1M tokens
Output$15.00 per 1M tokens

Standard rates in USD.

Supported file formats

Documents

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

Grok models need documents uploaded to the xAI Files API before they can be used in chat. xAI stores those files for up to 30 days and does not train on them under its Enterprise API terms. xAI Privacy Policy

Automate Grok 3 with qbash

Guides that use Grok 3