Skip to main content
All models

Grok Build 0.1

xAIxAI docs

grok-build-0.1

Run Grok Build 0.1 in a hosted Python Task with structured output, web search and file inputs.

Early-access xAI coding model for agentic software workflows; availability varies by account.

What Grok Build 0.1 supports in qbash

  • Structured outputReplies as JSON that matches a schema you pass.
  • Web searchSearches the web while it answers.
  • Image inputReads JPEG and PNG images.
  • 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 Grok Build 0.1 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
256Ktokens
Max output
131,072tokens

Structured output with Grok Build 0.1 in a Python Task

qbash.ai.raw calls Grok Build 0.1 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-build-0.1",
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 Build 0.1 with web search

Turn on Web Search in an inline prompt's model bar and Grok Build 0.1 searches the web while it answers.

Grok Build 0.1 pricing

Input$1.00 per 1M tokens
Output$2.00 per 1M tokens
Cached input$0.20 per 1M tokens
Input, above 200K input tokens$2.00 per 1M tokens
Output, above 200K input tokens$4.00 per 1M tokens

Standard rates in USD.

Supported file formats

Images

  • JPEG up to 20 MB
  • PNG up to 20 MB

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 Build 0.1 with qbash