Google DeepMind 推出 Gemma 4 12B
Introducing Gemma 4 12B
Google DeepMind 推出 Gemma 4 12B，将智能体式多模态能力带到笔记本电脑，并首次在其中型模型中支持原生音频输入。该模型在标准评测中的表现接近 26B MoE，内存占用不到后者一半，可在配备 16GB RAM 的消费级笔记本上本地运行。其无编码器架构可直接整合音频与视觉输入，以减少延迟和内存用量。
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材料给出本地运行的内存门槛、架构取舍及与26B MoE的基准对比，便于评估端侧多模态部署价值。
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Jun 03, 2026
Gemma 4 12B is designed to bring high-performance multimodal intelligence directly to your laptop, combining mobile-first efficiency with advanced reasoning.
Olivier Lacombe
Gus Martins
Product Manager, Google DeepMind
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Today, we are introducing Gemma 4 12B, our latest model designed to bring agentic multimodal intelligence directly to laptops. Bridging the gap between our edge-friendly E4B and our more advanced 26B Mixture of Experts (MoE), Gemma 4 12B packages powerful capabilities inside a reduced memory footprint. It is also our first mid-sized model to feature native audio inputs.
Thanks to the developer community, Gemma 4 models have now crossed 150 million downloads. You’ve built everything from wearable robotic arms for physical assistance to enterprise-grade AI security . We're excited to see what you build with this latest addition.
Here’s an overview of what makes Gemma 4 12B unique:
Together, these features bring advanced multimodal capabilities to everyday hardware without sacrificing speed or reasoning. Let's now take a closer look at how Gemma 4 12B achieves this.
Gemma 4 12B delivers performance nearing our larger 26B MoE model on standard benchmarks, but at less than half the total memory footprint. Small enough to run locally on consumer laptops with 16GB of RAM, it unlocks powerful multimodal and agentic experiences right on your machine.
What makes Gemma 4 12B stand out is its streamlined approach to processing visual and audio inputs. Traditional multimodal models typically rely on separate encoders to translate images and audio before passing those representations to the language model. Because these split encoders add latency and increase memory usage, we trained Gemma 4 12B with an encoder-free architecture to integrate audio and vision input directly.
Here is how Gemma 4 12B processes multimodal inputs natively:
For developers who want a breakdown, head over to our companion Gemma 4 12B Developer Guide .