Phi 4 mini reasoning

Name: Phi 4 mini reasoning
Author: Microsoft

by MicrosoftPhi 4

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

Released April 2025131K context≈ 98,304 words

Phi 4 Mini Reasoning is Microsoft's compact model built specifically around structured, step-by-step thinking. It punches above its weight class on logic-heavy tasks by leaning into chain-of-thought reasoning rather than raw scale. The trade-off is that it's a specialist — narrow in modality and best understood as a reasoning-focused tool rather than a general-purpose assistant.

Capabilities

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

Creative Writing

Moderate

Multilingual

Phi 4 mini reasoning

by MicrosoftPhi 4

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

Released April 2025131K context≈ 98,304 words

Phi 4 Mini Reasoning is Microsoft's compact model built specifically around structured, step-by-step thinking. It punches above its weight class on logic-heavy tasks by leaning into chain-of-thought reasoning rather than raw scale. The trade-off is that it's a specialist — narrow in modality and best understood as a reasoning-focused tool rather than a general-purpose assistant.

Capabilities

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

Creative Writing

Moderate

Multilingual

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.Compact ModelA smaller language model designed to use fewer computational resources while still performing useful tasks.General-PurposeDesigned to handle a wide variety of different tasks rather than being specialized for one specific domain.ModalityA type of input or output data a model can process, such as text, images, or audio.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning-FocusedA model specifically trained to work through multi-step logical problems methodically rather than generating quick responses.

Capabilities

Capabilities

Use Case Fit

Glossary