Phi-4-reasoning-vision

Open-weight 15B multimodal model for thinking and GUI agents

Website azure.microsoft.com

What it is

Small open-weight models (3.8B/14B) delivering powerful reasoning for math/science/code, rivaling larger LLMs. Available on Azure AI Foundry & HF.

Intent

I need it when

Perform complex multi-step mathematical and scientific reasoning tasks efficiently on resource-constrained hardware

Phi-4-reasoning-vision is a 14B parameter reasoning model trained via supervised fine-tuning and reinforcement learning to leverage inference-time compute scaling. It achieves performance comparable to much larger models (DeepSeek-R1 with 671B parameters) on mathematical reasoning and PhD-level science questions, while remaining small enough for low-latency edge deployment on CPUs, GPUs, and NPUs.

Build agentic applications that require complex reasoning and multi-faceted task decomposition without massive infrastructure costs

Phi-4-reasoning-vision is designed as a backbone for agentic applications, combining reasoning capabilities with efficient inference. The model's ability to generate detailed reasoning chains and perform internal reflection enables multi-step task decomposition, making it suitable for autonomous agents that must operate within cost and latency constraints.

Deploy AI models locally on Windows 11 Copilot+ PCs with NPU acceleration for offline reasoning and problem-solving

Phi-4-reasoning-vision is optimized for Copilot+ PC NPUs via ONNX and Phi Silica variants, enabling blazing-fast time-to-first-token responses and power-efficient token throughput. The model runs preloaded in memory on Windows devices, supporting offline reasoning tasks without cloud dependency.

Access an open-weight reasoning model that balances performance with model size for research, fine-tuning, and custom deployment

Phi-4-reasoning-vision is available as an open-weight model on HuggingFace and Azure AI Foundry, allowing researchers and developers to download, fine-tune, and deploy the model on their own infrastructure. This enables full transparency, customization, and avoids vendor lock-in.

Drop

Not a fit when

User requires a fully proprietary, closed-source model with guaranteed support contracts and SLAs
User needs real-time vision processing on extremely resource-constrained devices with no GPU or NPU support
User requires a model trained exclusively on proprietary data with no open-weight variant available
User needs production-grade vision capabilities; Phi-4-reasoning-vision is primarily a reasoning model with emerging vision features
User operates in an air-gapped environment without access to Azure cloud infrastructure or HuggingFace repositories

Commercials

Pricing

Available on Azure AI Foundry and HuggingFace; pricing depends on Azure consumption model or open-source deployment View pricing