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

Llama 3 8B Instruct

BentoML

Intelligence Score 71/100
Context Window 8K
Pricing Model Commercial / Paid
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
Phi-4
Llama 3 8B Instruct
Context Window
128K 8K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~65-69%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies by Copilot Tier Hardware dependent
Daily Limit
Low Unlimited
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 8B
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • Prototyping
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

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