Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Phi-4
A-TIERGitHub Models
Intelligence Score
89/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Free / Open
Llama 3.1 70B (via routing)
A-TIERRequesty
Intelligence Score
87/100
Context Window
128K
Pricing Model
Commercial / Paid
Model Popularity
0 votes
FINAL VERDICT
Phi-4 Wins
With an intelligence score of 89/100 vs 87/100, Phi-4 outperforms Llama 3.1 70B (via routing) 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 3.1 70B (via routing)
|
|---|---|---|
|
Context Window
|
128K | 128K |
|
Architecture
|
Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~80-84% | ~80-84% |
|
Release Date
|
Dec 2024 | Jul 2024 |
|
Pricing Model
|
Free Tier | Paid / Commercial |
|
Rate Limit (RPM)
|
Varies by Copilot Tier | 60 RPM |
|
Daily Limit
|
Low | Credit-based |
|
Capabilities
|
Reasoning
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | âš¡ Fast |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | 70B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Phi-4
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 70B (via routing)
vs
Meta: Llama 3.3 70B Instruct (free)
Phi-4
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 70B (via routing)
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Phi-4
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 70B (via routing)
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 70B (via routing)
vs
Llama 3.2 3B
Llama 3.1 70B (via routing)
vs
Llama 3.1 (Any Size)
Llama 3.1 70B (via routing)
vs
Llama 3.2 11B Vision
Llama 3.1 70B (via routing)
vs
Llama 3.1 8B Instruct
Llama 3.1 70B (via routing)
vs
meta/llama-3-70b-instruct
Llama 3.1 70B (via routing)
vs
Llama 3.3 70B Instruct