Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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meta/llama-3-70b-instruct

A-TIER

Replicate

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

Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100
Context Window 128K
Pricing Model Free / Open
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
meta/llama-3-70b-instruct
Phi-4
Context Window
8K tokens 128K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 Dec 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model Varies by Copilot Tier
Daily Limit
Credit-based Low
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
âš¡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70b Undisclosed
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Prototyping

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