Key insights
- Google's launch of Gemma 4 open-source AI models signals continued investment and competition in the AI space. While positive for Google and potentially beneficial for AI development, the immediate impact on the broader US equity market is limited. The availability of these models could spur innovation and adoption of AI technologies across various sectors in the long run.
Investing.com - Google announced the release of Gemma 4, a family of open-source artificial intelligence models available under an Apache 2.0 license. The company said developers have downloaded Gemma models over 400 million times since the first generation launched, creating more than 100,000 variants.
The Gemma 4 family includes four model sizes: Effective 2B, Effective 4B, 26B Mixture of Experts and 31B Dense. The 31B model ranks as the third-best open model globally on the Arena AI text leaderboard, while the 26B model holds the sixth position. Google said the models are built from the same research and technology as Gemini 3.
The models support advanced reasoning, agentic workflows with function-calling and structured JSON output, code generation, and native processing of video, images and audio. The edge models feature a 128K context window, while larger models offer up to 256K. All models are trained on over 140 languages.
The unquantized bfloat16 weights of the 26B and 31B models fit on a single 80GB NVIDIA H100 GPU. The E2B and E4B models are designed for mobile and IoT devices, running offline on hardware including phones, Raspberry Pi and NVIDIA Jetson Orin Nano. Google developed the edge models in collaboration with its Pixel team, Qualcomm Technologies and MediaTek.
Gemma 4 is available through Google AI Studio, Google AI Edge Gallery and Android Studio, with day-one support for platforms including Hugging Face, vLLM, llama.cpp, MLX, Ollama and NVIDIA NIM. Model weights can be downloaded from Hugging Face, Kaggle or Ollama, and developers can deploy through Vertex AI, Cloud Run, GKE and Google Cloud’s TPU-accelerated serving.
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