Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open
View Provider Analysis →

meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100
Context Window 8K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Phi-4 Wins

With an intelligence score of 89/100 vs 83/100, Phi-4 outperforms meta/llama-3-70b-instruct by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-4
meta/llama-3-70b-instruct
Context Window
128K 8K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies by Copilot Tier Varies by model
Daily Limit
Low Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 70b
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Prototyping
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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