Microsoft Phi-4 Family: 5.6B Multimodal Model Beats GPT-4o, 3.8B Competes with Qwen-7B
Explore Microsoft's Phi-4 models: Phi-4-multimodal integrates speech, vision, and text, while Phi-4-mini delivers impressive reasoning and performance in a compact size.
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Large models with hundreds of billions or even trillions of parameters are making rapid strides, but "small and beautiful" models are also shining brightly.
At the end of 2024, Microsoft officially released Phi-4—a small language model (SLM) with outstanding performance in its category. With only 40% synthetic data and 14 billion parameters, Phi-4 outperformed GPT-4o in terms of mathematical performance.
Recently, Microsoft also introduced two new members of the Phi-4 model family: Phi-4-multimodal (a multimodal model) and Phi-4-mini (a language model).
Phi-4-multimodal improves speech recognition, translation, summarization, audio comprehension, and image analysis, while Phi-4-mini is designed for speed and efficiency. Both are available for developers on smartphones, PCs, and in cars.