Gemma 3 4B

Gemma 3 4B is Google's lightweight model in the Gemma family, designed for efficient multimodal processing at reduced computational cost. As a 4 billion parameter model, it sits in the lightweight tier, offering a balance between capability and resource efficiency. The model supports both text and image inputs with a 131K token context window, enabling multimodal applications while maintaining fast inference speeds. Benchmark data shows it achieves 30.32 output tokens per second with a time to first token of 1095ms. The model does not include tool calling capabilities, focusing instead on core text generation and image understanding tasks. Gemma 3 4B targets use cases where multimodal capability is needed but computational resources or latency requirements favor a smaller model over larger alternatives. It competes with other lightweight multimodal models in scenarios requiring efficient image and text processing.