Phi 4 reasoning vision 15B

Name: Phi 4 reasoning vision 15B
Author: Microsoft

by MicrosoftPhi

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released March 202633K context≈ 24,576 words

Phi 4 Reasoning Vision is a compact but analytically sharp model that combines visual understanding with structured, chain-of-thought reasoning. It tends to think through problems methodically before answering, making its reasoning process visible and traceable. At 15B parameters, it punches above its weight on logic-heavy tasks but may show limitations on very long or complex multi-step visual scenes.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Strong

Reasoning & Logic

Phi 4 reasoning vision 15B

by MicrosoftPhi

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released March 202633K context≈ 24,576 words

Phi 4 Reasoning Vision is a compact but analytically sharp model that combines visual understanding with structured, chain-of-thought reasoning. It tends to think through problems methodically before answering, making its reasoning process visible and traceable. At 15B parameters, it punches above its weight on logic-heavy tasks but may show limitations on very long or complex multi-step visual scenes.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Strong

Reasoning & Logic

Glossary

Chain-of-ThoughtA reasoning technique where an AI model shows its step-by-step thinking process before arriving at a final answer, making its logic transparent and verifiable.Chain-of-Thought ReasoningA technique where a model works through a problem step by step, showing its reasoning process before arriving at a final answer.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning ProcessAn internal step where the model thinks through a problem before generating its final answer, allowing it to work through complex logic more carefully.Visual UnderstandingThe ability of an AI model to interpret and analyze images, including identifying objects, reading text, and answering questions about visual content.

Capabilities

Capabilities

Use Case Fit

Glossary