Phi-4 Reasoning Plus
Parameters
14B
Context Length
33K
Modality
Text
Architecture
Dense
License
MIT
Release Date
30 Apr 2025
Knowledge Cutoff
Mar 2025
API Pricing (per 1M)
Self-hosted only
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
2x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
32,768 tokens
Consumer
2x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Rankings
Overall Rank
#89
Coding Rank
-
About Phi-4 Reasoning Plus
Phi-4 Reasoning Plus is an enhanced 14B parameter reasoning model by Microsoft trained with GRPO reinforcement learning for mathematical and scientific deduction. It generates explicit step-by-step reasoning traces across a 32K context window.
Technical Specifications
Attention
Attention Structure
Multi-Head Attention
Attention Heads
40
Key-Value Heads
10
Attention Head Dimension
-
Position Embedding
Absolute Position Embedding
RoPE Theta
500,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
5,120
Number of Layers
40
FFN Intermediate Size (Dense)
17,920
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
100,352
About Phi-4
The Microsoft Phi-4 model family comprises small language models prioritizing efficient, high-capability reasoning. Its development emphasizes robust data quality and sophisticated synthetic data integration. This approach enables enhanced performance and on-device deployment capabilities.