Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Phi-4
DEPRECATEDGitHub Models
This model is no longer active/free — kept for reference.
Intelligence Score
89/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Free / Open
Llama 4 Scout 17B
A-TIERCloudflare Workers AI
Intelligence Score
87/100
Context Window
131K Context
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Phi-4 Wins
With an intelligence score of 89/100 vs 87/100, Phi-4 outperforms Llama 4 Scout 17B by 2 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Phi-4
|
Llama 4 Scout 17B
|
|---|---|---|
|
Context Window
|
128K | 131K Context |
|
Architecture
|
Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~80-84% | ~80-84% |
|
Release Date
|
Dec 2024 | 2026 (Latest) |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
10 RPM (high-tier) / higher for mini-tier | Varies by model |
|
Daily Limit
|
50 RPD (high-tier models) / 150 RPD (mini-tier models) | 10,000 neurons/day |
|
Capabilities
|
Reasoning
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | 17B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Phi-4
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 4 Scout 17B
vs
Meta: Llama 3.3 70B Instruct (free)
Phi-4
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 4 Scout 17B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Phi-4
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 4 Scout 17B
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 4 Scout 17B
vs
Meta: Llama 4 Maverick (free)
Llama 4 Scout 17B
vs
Meta: Llama 4 Scout (free)
Llama 4 Scout 17B
vs
Llama 4 Scout Instruct (Free)
Llama 4 Scout 17B
vs
Llama 3.2 3B
Llama 4 Scout 17B
vs
Llama 3.1 (Any Size)
Llama 4 Scout 17B
vs
Llama 3.2 11B Vision