In addition to Gemma 4, Google today also detailed Gemini Nano 4 for Android.
Gemma 4 is the “foundation for the next generation of Gemini Nano.” Gemini Nano 4 is currently available in early access via the AICore Developer Preview. Google has previously referred to the models as “nano-v2” and “nano-v3” (which is available on the Pixel 10 and Galaxy S26). There are two versions:
- Gemini Nano 4 Fast [Preview, TPU]: Our most efficient model based on Gemma 4 E2B, designed for fast responses.
- E2B: Optimized for maximum speed (3x faster than the E4B model!) and lower latency.
- Gemini Nano 4 Full [Preview, TPU]: Our most capable model based on Gemma 4 E4B for the highest-quality answers.
- E4B: Designed for higher reasoning power and complex tasks.
For Android, Google highlights how Gemma 4 is “up to 4x faster than previous versions and uses up to 60% less battery.” It offers “industry-leading performance with multimodal understanding” across text, image, and audio, while natively supporting 140+ languages.
Use cases include:
Reasoning: Chain-of-thought commands and conditional statements can now be expected to return higher quality results.
- For example: “Determine if the following comment for a discussion thread passes the community guidelines. The comment does not pass the community guideline if it contains one or more of these reason_for_flag: profanity, derogatory language, hate speech”. If the review passes the community guidelines, return {true}. Otherwise, return {false, reason_for_flag}.”
Math: With better math skills, the model can now more accurately answer questions.
- For example: “If I get 26 paychecks per year, how much should I contribute each paycheck to reach my savings goal of $10,000 over the course of a year?”
Time understanding: The model is now more capable when reasoning about time, making it more accurate for use cases that involve calendars, reminders, and alarms.
- For example: “The event is at 6PM on August 18th, and a reminder should be sent out 10 hours before the event. Return the time and date the reminder should be sent.”
Image understanding: Use cases that involve OCR (Optical Character Recognition) – such as chart understanding, visual data extraction, and handwriting recognition – will now return more accurate results.
Gemini Nano 4 will launch on “new flagship Android devices later this year.” Any “code you write today for Gemma 4 will automatically work on Gemini Nano 4-enabled devices.”
You can sign up for the AICore Developer Preview here. Google will be “making several updates throughout the preview period, including support for tool calling, structured output, system prompts, and thinking mode in Prompt API.”
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