Llama 4 Scout vs Phi 4 Reasoning
Llama 4 Scout and Phi 4 Reasoning are closely matched at 7.8 and 12.0 on the LLM Stats Score.
Meta · Microsoft · Updated for 2026
Which is better?
Llama 4 Scout and Phi 4 Reasoning are closely matched on the overall LLM Stats Score at 7.8 and 12.0.
In the 3 individual benchmarks reported for both models, Phi 4 Reasoning wins 3; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Llama 4 Scout
- you want predictable pricing at $0.08/M input and $0.30/M output
Choose Phi 4 Reasoning
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped Apr 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for Llama 4 Scout · 11 for Phi 4 Reasoning
Llama 4 Scout outperforms in 0 benchmarks, while Phi 4 Reasoning is better at 2 benchmarks (GPQA, LiveCodeBench).
Phi 4 Reasoning shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 4 Scout has 95.0B more parameters than Phi 4 Reasoning, making it 678.6% larger.
Context Window
Maximum input and output token capacity
Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Llama 4 Scout supports multimodal inputs, whereas Phi 4 Reasoning does not.
Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 4 Scout
Phi 4 Reasoning
License
Usage and distribution terms
Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Phi 4 Reasoning uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Llama 4 Scout was released on 2025-04-05, while Phi 4 Reasoning was released on 2025-04-30.
Phi 4 Reasoning is 1 month newer than Llama 4 Scout.
Apr 5, 2025
1.4 years ago
Apr 30, 2025
1.4 years ago
3w newerKnowledge Cutoff
When training data ends
Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Llama 4 Scout's cutoff date is not specified.
We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without Llama 4 Scout's cutoff date.
—
Mar 2025
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 4 Scout and Phi 4 Reasoning side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Scout vs Phi 4 Reasoning.