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

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100
Context Window 32K tokens
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 Dolphin Mixtral by 5 points.

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

Detailed Comparison

Feature
Phi-2
Dolphin Mixtral
Context Window
2K 32K tokens
Architecture
Transformer Mixture of Experts (MoE)
Est. MMLU Score
~65-69% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 10 RPM (free tier)
Daily Limit
10,000 neurons/day Limited daily usage
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
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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