Phi-4-Reasoning Models: A New Standards For Effective AI

Microsoft Azure launches Phi-4-reasoning models, redefining possibilities for compact and efficient AI

Phi reasoning models use inference-time scaling for complex tasks, balancing size and performance with distillation and high-quality data

Phi-4-reasoning, a 14-billion parameter model, rivals larger models in reasoning tasks using curated datasets and synthetic data

Phi-4-reasoning-plus improves on Phi-4-reasoning with 1.5x more tokens and reinforcement learning for higher accuracy

Both models outperform larger models like DeepSeek-R1-Distill-70B and achieve top results in benchmarks like the 2025 USA Math Olympiad qualifier

Phi-4-mini-reasoning is optimized for low-latency environments, offering strong reasoning capabilities for educational and edge applications

These models are used in applications like Outlook and Click to Do, providing offline AI features and text intelligence tools

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