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

Snoozy

GPT4All

Intelligence Score 65/100
Context Window Local
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Phi-2 Wins

With an intelligence score of 70/100 vs 65/100, Phi-2 outperforms Snoozy by 5 points.

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

Detailed Comparison

Feature
Phi-2
Snoozy
Context Window
2K Local
Architecture
Transformer Transformer
Est. MMLU Score
~65-69% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
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 Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Slower than GPU inference
  • Limited to supported quantized formats
  • UI is basic
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • LocalDocs: Chat with your files privately
  • Nomic Embed Text: High quality embeddings
  • CPU Optimized (AVX2)

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