Check out Gemma 3, Google's latest family of models for building multimodal AI applications! This is a big step up from the previous Gemma versions, adding video understanding and a much larger context window.
Key features:
🖼️ Multimodal: Handles text, images, and short videos. 🧠 Multiple Sizes: Available in 1B, 4B, 12B, and 27B parameter versions. ↔️ 128K Context Window: A major increase, allowing for processing much more information. 🌍 Multilingual: Supports over 35 languages out-of-the-box, pretrained on over 140. 🛠️ Integrates with Hugging Face Transformers, Ollama, JAX, Keras, PyTorch, Unsloth, vLLM, and Gemma.cpp. 🛡️ It Includes a separate 4B model, ShieldGemma 2, for image safety classification. ⚡ Optimized for NVIDIA GPUs, Google Cloud TPUs, and AMD GPUs.
Gamma 3 is a clear sign of how quickly the multimodal AI space is advancing.
Gemma 3 launched on Product Hunt on March 13th, 2025 and earned 201 upvotes and 8 comments, placing #8 on the daily leaderboard. Gemma 3 is Google's new models for multimodal AI (text, images, video). 1B-27B sizes, 128K context, 140+ languages. Includes ShieldGemma 2 for safety.
On the analytics side, Gemma 3 competes within Open Source, Artificial Intelligence and Development — topics that collectively have 540.3k followers on Product Hunt. The dashboard above tracks how Gemma 3 performed against the three products that launched closest to it on the same day.
Who hunted Gemma 3?
Gemma 3 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Gemma 3 including community comment highlights and product details, visit the product overview.
Zac Zuo
Hi everyone!
Check out Gemma 3, Google's latest family of models for building multimodal AI applications! This is a big step up from the previous Gemma versions, adding video understanding and a much larger context window.
Key features:
🖼️ Multimodal: Handles text, images, and short videos.
🧠 Multiple Sizes: Available in 1B, 4B, 12B, and 27B parameter versions.
↔️ 128K Context Window: A major increase, allowing for processing much more information.
🌍 Multilingual: Supports over 35 languages out-of-the-box, pretrained on over 140.
🛠️ Integrates with Hugging Face Transformers, Ollama, JAX, Keras, PyTorch, Unsloth, vLLM, and Gemma.cpp.
🛡️ It Includes a separate 4B model, ShieldGemma 2, for image safety classification.
⚡ Optimized for NVIDIA GPUs, Google Cloud TPUs, and AMD GPUs.
Gamma 3 is a clear sign of how quickly the multimodal AI space is advancing.
Let's start exploring its capabilities in Google AI Studio!