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

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100
Context Window 32K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Phi-4 Wins

With an intelligence score of 89/100 vs 65/100, Phi-4 outperforms Dolphin Mixtral by 24 points.

Clear Winner: Significant performance advantage for Phi-4.
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-4
Dolphin Mixtral
Context Window
128K 32K tokens
Architecture
Transformer Mixture of Experts (MoE)
Est. MMLU Score
~80-84% ~60-64%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by Copilot Tier 10 RPM (free tier)
Daily Limit
Low Limited daily usage
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Prototyping
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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