πŸ”₯ App update: Gemini 3.6 Flash for high-volume AI Automation in Make

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:high_voltage: Gemini 3.6 Flash brings fast, cost-aware multimodal AI and structured outputs to Make automation scenarios

Hey Makers :waving_hand: When a scenario needs to read a long document, review a recording, and return data your next module can use, model choice shapes both the workflow and its operating cost. Gemini 3.6 Flash gives you room to handle bigger inputs, run frequent AI steps, and keep your scenarios moving.

:high_voltage: Gemini 3.6 Flash is now available in Make through the Gemini API key.

It combines a 1 million input-token context window with support for text, images, audio, and video, and can be used in Make to turn large, mixed-format inputs into actions your scenarios can follow.

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:new_button: What’s new in Gemini 3.6 Flash

  • Bring larger source material into one request: Send up to 1 million input tokens for analysis, so you can work with long transcripts, document collections, or detailed support histories without splitting the source into as many smaller prompts.
  • Process media alongside text: Give Gemini 3.6 Flash an image, audio, video, or text input in the same request. Your scenario can pull facts from the format where they actually appear.
  • Map answers into the next module: Ask for JSON that follows your chosen schema, then map fields such as invoice totals, request type, language, or priority into a database, router, or notification.
  • Run high-frequency AI steps with cost control: Input pricing starts at $1.50 per 1 million tokens and output pricing at $7.50 per 1 million tokens. That gives you a practical option for recurring classification, extraction, and content workflows.

Google Gemini 3.6 Flash in Make
Google Gemini 3.6 Flash in Make1920Γ—1087 211 KB

:flexed_biceps: Use cases for Make automation with Gemini 3.6 Flash

  • Process customer calls: When a meeting recording arrives, send the audio or transcript to Gemini 3.6 Flash, extract decisions and owners as JSON, then create follow-up tasks and send a recap to the right channel.
  • Route complex support requests: Combine the customer message with relevant account notes, classify urgency and topic, and direct the case through a Make router with the details each team needs.
  • Capture invoice line items: Send a scanned invoice image or PDF, request vendor, dates, totals, and line items in a defined JSON structure, then add each value to your finance database.

:rocket: How to use Gemini 3.6 Flash in Make

Gemini 3.6 Flash is available in these Make native apps:

:backhand_index_pointing_right: Try my starter scenario to see the latest Gemini AI models automated with Make: https://ma.ke/gemini-ai-demo

Google Gemini AI models in Make - Demo scenario
Google Gemini AI models in Make - Demo scenario2724Γ—1550 333 KB

Will you give Gemini 3.6 Flash a try, or have you settled for other AI models?

Happy automating! :purple_circle:

Valery from Make

:books: Helpful resources

:backhand_index_pointing_right: Google Gemini AI app documentation

:backhand_index_pointing_right: Make AI Toolkit app documentation

:backhand_index_pointing_right: Make AI Agents documentation

:backhand_index_pointing_right: Make AI Agents best practices

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