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Gemini 3.5 Flash-Lite

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gemini-3.5-flash-lite

Run Gemini 3.5 Flash-Lite in a hosted Python Task with structured output, web search, extended thinking and file inputs.

Stable low-cost Flash-Lite model for high-volume tasks.

What Gemini 3.5 Flash-Lite supports in qbash

  • Structured outputReplies as JSON that matches a schema you pass.
  • Web searchSearches the web while it answers.
  • Extended thinkingReasons through a problem before it replies.
  • Image inputReads WEBP, PNG, JPEG and GIF 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 Gemini 3.5 Flash-Lite 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
1.05Mtokens

Structured output with Gemini 3.5 Flash-Lite in a Python Task

qbash.ai.raw calls Gemini 3.5 Flash-Lite 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="gemini-3.5-flash-lite",
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 Gemini 3.5 Flash-Lite with web search

Turn on Web Search in an inline prompt's model bar and Gemini 3.5 Flash-Lite searches the web while it answers.

Extended thinking with Gemini 3.5 Flash-Lite

Turn on Thinking in the same Settings popover to have Gemini 3.5 Flash-Lite reason through a problem before it replies.

Gemini 3.5 Flash-Lite pricing

Input$0.30 per 1M tokens
Output$2.50 per 1M tokens
Cached input$0.03 per 1M tokens
Google search$14.00 per 1K searches

Standard rates in USD.

Supported file formats

Images

  • WEBP up to 5 MB
  • PNG up to 5 MB
  • JPEG up to 5 MB
  • GIF up to 5 MB

Documents

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

Automate Gemini 3.5 Flash-Lite with qbash