How to Use Gemini 4 Argon Tasks Mode

Gemini 4 Argon brings stronger reasoning for complex work. One useful update in the Gemini app is the ability to switch from regular chat to tasks mode. This lets the model keep working on multi-step jobs even after you leave the computer.

You need a Google AI Pro or Ultra plan to access Argon in the app and AI Mode in Search. The model rolled out in mid-October 2026 for paid users.

What Gemini 4 Argon Adds

Argon supports a unified one-million-token context window for input and output. It handles longer runs better than earlier Gemini models and follows instructions with less hedging.

In the app, tasks mode turns a conversation into a background job. Gemini continues across connected Google apps while you step away. Official materials note more than 40 connected apps, including tools for design, shopping, and booking.

Developers can also call the model via the Gemini API with the ID gemini-4-argon. Introductory pricing through November 30, 2026 is $2 per million input tokens and $10 per million output tokens. After that it rises to $4 and $20.

If you already use Firebase AI Logic on Android, check our earlier guide on adding Gemini 4 Argon there: Add Gemini 4 Argon with Firebase AI Logic.

Requirements to Use Argon in the App

Confirm your subscription first. Open one.google.com or the upgrade prompt inside the Gemini app and choose Google AI Pro or Ultra.

Sign in with the same Google account on gemini.google.com, the mobile app, or the desktop app. Update the app if the model picker does not show Argon yet. Google is rolling it out in stages.

Location services and an internet connection are not required for the model itself, but connected apps may need them for some actions.

Switch from Chat to Tasks Mode

Open a new chat in the Gemini app. Look for the toggle in the main chat window that switches from chat to tasks.

Tap or click it before you send a long request. Once enabled, Gemini treats the job as something it can continue in the background.

Describe the full goal up front. Include the files or data it should use, the expected output format, and any success criteria. Argon holds context across long runs once the goal is clear.

Step-by-Step: Run a Long Task

1. Subscribe to Google AI Pro or Ultra if you have not already.
2. Open the Gemini app and start a new conversation.
3. Select Gemini 4 Argon from the model picker if it is available on your account.
4. Toggle the switch from chat to tasks.
5. Paste or upload the materials you want analyzed. Attach PDFs, spreadsheets, or images as needed.
6. Write one clear prompt that states the goal, constraints, and desired result. Example: “Review the attached quarterly report. Identify the three largest changes, explain likely causes, and list concrete next steps for each over the next four weeks.”
7. Send the message. Leave the chat open or close the app. Check back later for progress updates or the finished output.

For coding or app-building work, some users move to Google Antigravity (Ultra only) or the Gemini API. The app tasks mode is aimed at knowledge work that stays inside Google tools.

Tips for Better Results

Agree on the goal before the long run starts. Ask Argon to list clarifying questions about edge cases first if the request is ambiguous.

Give it a way to check its own work when possible. Point it at test data, screenshots, or a short checklist it can loop against.

Use medium or high thinking for complex analysis. The developer guide notes thinking levels of low, medium, and high; medium is the default.

Keep connected apps limited to those you actually need. Review what data the model can access before you start a background job.

Check the output when you return. Argon reduces hedging and clichés compared with earlier models, but you still review important numbers, legal points, or code before you act on them.

Conclusion

Gemini 4 Argon tasks mode is useful when you have a multi-step job that does not need constant supervision. Set the goal clearly, switch the toggle, and let it run.

Access depends on a paid Google AI plan. The feature is rolling out, so update your app and check the model picker if you do not see it yet.

Sources

• Google blog: Introducing Gemini 4 Argon (October 13, 2026)
• Google AI Studio developer guide for Gemini 4 Argon
• Official YouTube overview from Google Gemini