What is Gemma 4?
Gemma 4 is an open model family introduced by Google on April 2, 2026, with a strong emphasis on local use, openness, and multimodal capability. Read what Gemma 4 is
What model sizes are in the family?
The current published family includes E2B, E4B, 26B A4B, and 31B. Compare Gemma 4 model sizes
Is Gemma 4 multimodal?
Yes. Official materials highlight image understanding across the family, and the smaller edge-oriented variants also emphasize native audio input. Understand Gemma 4 multimodal
Why are people talking about the benchmarks?
Because the larger variants were presented as unusually capable for their size, which made Gemma 4 feel more serious than a routine release. See Gemma 4 benchmark context
Is Gemma 4 mainly for local AI?
Local use is a major part of the release story, but the family can be relevant more broadly too. Why Gemma 4 fits local AI
Which size should most people start with?
Start with the smallest model that still feels credible for the work you actually want to do. Most people do not need to begin at the largest end of the range. See the size decision guide
How does Gemma 4 compare with Qwen?
Gemma 4 feels tighter and more newly focused, while Qwen may feel broader and more familiar to some readers. Compare Gemma 4 vs Qwen
How does Gemma 4 compare with Llama?
Gemma 4 offers fresh focus and a strong local story, while Llama still benefits from familiarity and ecosystem weight. Compare Gemma 4 vs Llama
Is Gemma 4 free?
The family is presented as open and released under Apache 2.0, but “free” never removes hardware, time, or operational cost. Understand Gemma 4 pricing and license
What is the most believable reason to care?
For many readers, it is the mix of openness, local use, and unusually strong capability for the size. Explore Gemma 4 use cases
If you only read three pages, read the overview, the model-size guide, and the local-AI page. That sequence answers most first-time questions without wasting time.
Choose the next page by the kind of question you actually have
If you are still trying to understand the whole cluster
Go back to the homepage when you want the full map of overview, sizes, benchmarks, comparisons, pricing, and FAQ in one place.
Browse the Gemma 4 hubIf your real question is “Gemma 4 or another family?”
The comparison pages are the right next step when the issue is not what Gemma 4 is, but whether it fits you better than Qwen or Llama.
If your real question is “Which Gemma 4 should I use?”
Leave the FAQ and move into the size guide or local-AI page when the decision has shifted from curiosity into fit, hardware, and everyday use.