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Gemma 3n is the first model with less than 10B parameters with a LMArena score above 1300 🔥 And yes, you can run it in your phone Try it in AIS aistudio.google.com/prompts/new_ch… AI Edge: github.com/google-ai-edge…

Gemini 2.5 Pro + 2.5 Flash are now stable and generally available. Plus, get a preview of Gemini 2.5 Flash-Lite, our fastest + most cost-efficient 2.5 model yet. 🔦 Exciting steps as we expand our 2.5 series of hybrid reasoning models that deliver amazing performance at the

Gemini 2.5 is production ready! We just launched 3 new Gemini models with 2.5 Pro and Flash being now generally available and a new Gemini 2.5 Flash Lite preview! 🧠⚡️🔦 Here is all you need to know: 🔦 New Gemini 2.5 Flash Lite (Preview) with Thinking, 1M context, only

🎉 It's a BIG day for Gemini 2.5 — 2.5 Flash and 2.5 Pro are now stable and generally available in AI Studio, Vertex AI, and the Google Gemini App — We're launching a preview of the new 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet More info on each model below ⬇️

Hello Gemini 2.5 Flash-Lite! So fast, it codes *each screen* on the fly (Neural OS concept 👇). The frontier isn't always about large models and beating benchmarks. In this case, a super fast & good model can unlock drastic use cases. Read more: blog.google/products/gemin…

The new 2.5 Flash-Lite is nuts! Faster and better than 2.0 Flash but with the same pricing. 🤯

🚨 BREAKING: Google Launches Gemini 2.5 Flash-Lite, Makes Gemini 2.5 Flash & Pro Generally Available - Custom versions of 2.5 Flash-Lite and Flash added to Search. Full details 👇

🚨 The votes are in and the new Gemini-2.5-Flash-Lite has officially landed on the LMArena leaderboards! Let's see how it stacks up with the community: 💠 #12 Overall on Text Arena 💠 #3 in Creative Writing, #14 in Coding, #17 in Hard Prompt category 💠 3-6x cheaper than

Google has just released Gemini 2.5 Flash Lite This is the cheapest and fastest model available: You can literally: - Process the entire Harry Potter series for $0.22 - Analyze a 3-hour video for less than $0.35 And you can also enable thinking mode to enhance its

Gemini 2.5 tech report was released!

Gemini 2.5 Technical Report 🧵

I’m so excited to announce Gemma 3n is here! 🎉 🔊Multimodal (text/audio/image/video) understanding 🤯Runs with as little as 2GB of RAM 🏆First model under 10B with lmarena.ai score of 1300+ Available now on Hugging Face, Kaggle, llama.cpp, ai.dev, and more

Gemma 3n general available! Gemma 3n is now available across all major open source libraries and platforms including, Hugging Face transformers, ollama, llama.cpp, @unslothai, LM Studio vLLM, SGLang, mlx, and others. 🚀 Gemma 3n - is the first model under 10B

We’re fully releasing Gemma 3n, which brings powerful multimodal AI capabilities to edge devices. 🛠️ Here’s a snapshot of its innovations 🧵

Announcing the full release of Gemma 3n, bringing powerful multimodal capabilities to edge devices for developers 🙌 ↓ developers.googleblog.com/en/introducing…

🚨 Breaking: Google DeepMind has released full version of Gemma 3n. Huge because bcoz now we have full multimodal AI capabilities for edge devices. > Built to understand text, images, audio, and video > Comes in two sizes: E2B and E4B but performs like 5B and 8B parameter

🚀 Gemma 3n is HERE with day-0 MLX support! Thrilled to have collaborated with Google DeepMind and Hugging Face to bring the MLX community instant access to this groundbreaking model. Why Gemma 3n changes everything: 📹 True Multimodal: text, audio, image & video ⚡ Runs on

Our open source Gemma models are the most powerful single GPU/TPU models out there! Our latest model Gemma 3n has amazing performance, multimodal understanding, & can run with as little as 2GB of memory - perfect for edge devices - enjoy building at ai.studio !

I'm really impressed by the new Gemma 3n I tried a 7.5GB model from Ollama and a 15GB model through mlx-vlm - they seem very capable, and this is the first model of that size I've tried that can handle both image AND audio input in addition to text! simonwillison.net/2025/Jun/26/ge…

🏥Introducing MedGemma, part 2, including: 🔥A 27B multimodal MedGemma 👀MedSigLIP, a lightweight image/text encoder for medical image retrieval/classification 📜A technical report with details Blog: research.google/blog/medgemma-… Paper: arxiv.org/abs/2507.05201