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Gemini 3 Pro and Gemini 3 Flash on TerminaI

Gemini 3 Pro and Gemini 3 Flash are now available on TerminaI! Currently, most paid customers of TerminaI will have access to both Gemini 3 Pro and Gemini 3 Flash, including the following subscribers:

  • Google AI Pro and Google AI Ultra (excluding business customers).
  • Gemini Code Assist Standard and Enterprise (requires administrative enablement).
  • Paid LLM API and Vertex API key holders.

For free tier users:

  • If you signed up for the waitlist, please check your email for details. We’ve onboarded everyone who signed up to the previously available waitlist.
  • If you were not on our waitlist, we’re rolling out additional access gradually to ensure the experience remains fast and reliable. Stay tuned for more details.

How to get started with Gemini 3 on TerminaI

Get started by upgrading TerminaI to the latest version (0.21.1):

Terminal window

npm install -g @google/terminai@latest

After you’ve confirmed your version is 0.21.1 or later:

  1. Use the /settings command in TerminaI.
  2. Toggle Preview Features to true.
  3. Run /model and select Auto (Gemini 3).

For more information, see TerminaI model selection.

Usage limits and fallback

TerminaI will tell you when you reach your Gemini 3 Pro daily usage limit. When you encounter that limit, you’ll be given the option to switch to Gemini 2.5 Pro, upgrade for higher limits, or stop. You’ll also be told when your usage limit resets and Gemini 3 Pro can be used again.

Similarly, when you reach your daily usage limit for Gemini 2.5 Pro, you’ll see a message prompting fallback to Gemini 2.5 Flash.

Capacity errors

There may be times when the Gemini 3 Pro model is overloaded. When that happens, TerminaI will ask you to decide whether you want to keep trying Gemini 3 Pro or fallback to Gemini 2.5 Pro.

Note: The Keep trying option uses exponential backoff, in which TerminaI waits longer between each retry, when the system is busy. If the retry doesn’t happen immediately, please wait a few minutes for the request to process.

Model selection and routing types

When using TerminaI, you may want to control how your requests are routed between models. By default, TerminaI uses Auto routing.

When using Gemini 3 Pro, you may want to use Auto routing or Pro routing to manage your usage limits:

  • Auto routing: Auto routing first determines whether a prompt involves a complex or simple operation. For simple prompts, it will automatically use Gemini 2.5 Flash. For complex prompts, if Gemini 3 Pro is enabled, it will use Gemini 3 Pro; otherwise, it will use Gemini 2.5 Pro.
  • Pro routing: If you want to ensure your task is processed by the most capable model, use /model and select Pro. TerminaI will prioritize the most capable model available, including Gemini 3 Pro if it has been enabled.

To learn more about selecting a model and routing, refer to TerminaI Model Selection.

How to enable Gemini 3 with TerminaI on Gemini Code Assist

If you’re using Gemini Code Assist Standard or Gemini Code Assist Enterprise, enabling Gemini 3 Pro on TerminaI requires configuring your release channels. Using Gemini 3 Pro will require two steps: administrative enablement and user enablement.

To learn more about these settings, refer to Configure Gemini Code Assist release channels.

Administrator instructions

An administrator with Google Cloud Settings Admin permissions must follow these directions:

  • Navigate to the Google Cloud Project you’re using with TerminaI for Code Assist.
  • Go to Admin for Gemini > Settings.
  • Under Release channels for Gemini Code Assist in local IDEs select Preview.
  • Click Save changes.

User instructions

Wait for two to three minutes after your administrator has enabled Preview, then:

  • Open TerminaI.
  • Use the /settings command.
  • Set Preview Features to true.

Restart TerminaI and you should have access to Gemini 3.

Need help?

If you need help, we recommend searching for an existing GitHub issue. If you cannot find a GitHub issue that matches your concern, you can create a new issue. For comments and feedback, consider opening a GitHub discussion.

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