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Gemini 4 Hydrogen, and Auto puts it to work

Gemini 4 Hydrogen joins the model picker, Auto sends more of your work to it, and memory commands answer faster.

Written by Babbily Support

Gemini 4 Hydrogen

Gemini 4 Hydrogen joins the model picker, between Gemini 4 Carbon and Gemini 4 Argon. It's Google's fast multimodal model for reasoning, coding and agentic work.

  • Reasoning through X-High. Choose Low, Medium, High or X-High. Gemini 4 Hydrogen has no fully-off setting, so with reasoning off it runs at Low.

  • Reads images, PDFs, audio and video directly, with a context window of about 1 million tokens.

  • Uses less of your API usage budget per token than Gemini 4 Carbon and Gemini 4 Argon.

Auto uses Gemini 4 Hydrogen

We tested Gemini 4 Hydrogen in Auto against the models it would replace, and it now handles more of your work.

  • Math and logic of moderate difficulty now go to Gemini 4 Hydrogen, which answered them more accurately in testing.

  • Writing of moderate difficulty, such as emails, posts and short documents, now goes to Gemini 4 Hydrogen, which wrote better in testing and uses less of your API usage budget. These replies can take a few seconds longer to start.

  • Coding of moderate difficulty, from writing code and building front ends to fixing bugs, now goes to Gemini 4 Hydrogen, which did as well or better in testing and uses less of your API usage budget.

  • Research and planning of moderate difficulty now go to Gemini 4 Hydrogen, which was rated as well as before for about a quarter of the API usage budget. Plans can take longer to start.

  • Backup choices. When Auto's first choice for a message isn't available, more kinds of work now fall back to Gemini 4 Hydrogen instead of Gemini 4 Argon.

Nothing changes in how you use Auto.

Also in this release

  • Memory commands answer faster. A "remember…" or "forget…" command typed in memory settings is now read by Gemini 4 Hydrogen, which answered every ordinary command in testing within 8 seconds, where some took Gemini 4 Argon too long to answer.

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