Google Gemma 4 is an open-weights multimodal AI model released April 2, 2026, under Apache 2.0 license with native text and image understanding capabilities.
Gemma 4 represents Google's latest advancement in open-source AI models, featuring four distinct variants: E2B, E4B, 26B A4B (Mixture of Experts), and 31B Dense. The model introduces Per-Layer Embeddings (PLE) architecture, which feeds residual signals into every decoder layer for improved performance. A companion innovation is Shared KV Cache, reducing memory consumption by reusing key-value states across layers.
The platform excels in real-world applications including optical character recognition (OCR), document and PDF parsing, chart comprehension, object detection, screen UI understanding, and multilingual text recognition. Its native multimodal capabilities make it particularly valuable for tasks requiring simultaneous understanding of text and visual content at variable resolutions.
For organizations building vector search systems, Gemma 4's ability to embed images and text in the same vector space opens powerful possibilities. This capability integrates seamlessly with managed vector database services like Zilliz Cloud, enabling efficient multimodal semantic search with enterprise-grade infrastructure and support.
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