Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Phi-2

Cloudflare Workers AI

Intelligence Score 70/100
Model Popularity 0 votes
Context Window 2K
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

Llama 3 8B Instruct Wins

With an intelligence score of 71/100 vs 70/100, Llama 3 8B Instruct outperforms Phi-2 by 1 point.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-2
Llama 3 8B Instruct
Context Window
2K 8K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~65-69% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies by model Hardware dependent
Daily Limit
10,000 neurons/day Unlimited
Capabilities
Reasoning
No specific data
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 8B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

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