Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 4 Scout Instruct (Free)
A-TIERTogether.AI
Intelligence Score
87/100
Model Popularity
0 votes
Context Window
512K tokens
Pricing Model
Free / Open
Phi-4
A-TIERGitHub Models
Intelligence Score
89/100
Context Window
128K
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 Instruct (Free) by 2 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 4 Scout Instruct (Free)
|
Phi-4
|
|---|---|---|
|
Context Window
|
512K tokens | 128K |
|
Architecture
|
Transformer (Open Weight) | Transformer |
|
Est. MMLU Score
|
~80-84% | ~80-84% |
|
Release Date
|
2026 (Latest) | Dec 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Subject to availability | 10 RPM (high-tier) / higher for mini-tier |
|
Daily Limit
|
Unlimited (Research Preview) | 50 RPD (high-tier models) / 150 RPD (mini-tier models) |
|
Capabilities
|
Multimodal
|
Reasoning
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
⚡ Very Fast | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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