Gemma 4: Byte for byte, the most capable open models

Gemma 4 and what makes an open model succeed

Hint: it's not benchmark scores.

Introducing Gemma 4 12B: a unified, encoder-free multimodal model

An overview of Gemma 4 12B, a model designed to bring high-performance multimodal intelligence directly to your laptop.

gemma3n

Gemma 3n models are designed for efficient execution on everyday devices such as laptops, tablets or phones.

Gemma 3n model overview  |  Google AI for Developers

Gemma 3n is a generative AI model optimized for use in everyday devices, such as phones, laptops, and tablets. This model includes innovations in parameter-efficient processing, including Per-Layer Embedding (PLE) parameter caching and a MatFormer model architecture that provides the flexibility to reduce compute and memory requirements. These models feature audio input handling, as well as text and visual data.

gpt-oss:120b

OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.

Gemma 4 Technical Report

We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemma 4 model suite features dense and Mixture-of-Experts architectures, ranging from 2.3B to 31B parameters. Alongside improved vision and audio encoders for all model sizes, we propose a unified, encoder-free architecture for our 12B model, which ingests raw audio and image patches. Furthermore, we integrate a thinking mode, enabling Gemma models to generate reasoning traces prior to responding. We improve inference speed, memory, and compute efficiency, as well as long-context abilities through critical design choices. Gemma 4 establishes a leap in performance across STEM, multimodal, and long-context benchmarks, and rivals larger, frontier open models in human-rated tasks.

gpt-oss:20b

OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.

OpenMemory - AI Memory MCP Server for Coding Agents | Mem0

With OpenMemory, add persistent, project-aware memory to Cursor, Windsurf, and VS Code agents. Store preferences, patterns, and context that get retrieved automatically.

Introducing gpt-oss

We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.0 license, these models outperform similarly sized open models on reasoning tasks, demonstrate strong tool use capabilities, and are optimized for efficient deployment on consumer hardware.

Google for Developers Blog - News about Web, Mobile, AI and Cloud

Explore Gemma 3 270M, a compact, energy-efficient AI model for task-specific fine-tuning, offering strong instruction-following and production-ready quantization.

A 10 year old Xeon is all you need - point.free

Or running Gemma 4 on a 2016 Xeon with no GPU, 25 flags, 128 GB of DDR3, and a 25B-parameter MoE.

Google for Developers Blog - News about Web, Mobile, AI and Cloud

Learn how to build with Gemma 3n, a mobile-first architecture, MatFormer technology, Per-Layer Embeddings, and new audio and vision encoders.

A Visual Guide to Gemma 4 12B

An in-depth explainer to Gemma 4 12B; a unified, encoder-free multimodal model!