Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3 8B Instruct
BentoML
Intelligence Score
71/100
Model Popularity
0 votes
Context Window
8K
Pricing Model
Commercial / Paid
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 71/100, Phi-4 outperforms Llama 3 8B Instruct by 18 points.
Clear Winner: Significant performance advantage for Phi-4.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 3 8B Instruct
|
Phi-4
|
|---|---|---|
|
Context Window
|
8K | 128K |
|
Architecture
|
Transformer (Open Weight) | Transformer |
|
Est. MMLU Score
|
~65-69% | ~80-84% |
|
Release Date
|
2024 | Dec 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
Hardware dependent | Varies by Copilot Tier |
|
Daily Limit
|
Unlimited | Low |
|
Capabilities
|
No specific data
|
Reasoning
|
|
Performance Tier
|
C-Tier (Good) | A-Tier (Excellent) |
|
Speed Estimate
|
âš¡ Very Fast | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
8B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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