Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Phi-3 Mini 4K Instruct

Glhf.chat

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 4K
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-3 Mini 4K Instruct Wins

With an intelligence score of 76/100 vs 65/100, Phi-3 Mini 4K Instruct outperforms Dolphin Mixtral by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3 Mini 4K Instruct
Dolphin Mixtral
Context Window
4K 32K tokens
Architecture
Transformer Mixture of Experts (MoE)
Est. MMLU Score
~70-74% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM 10 RPM (free tier)
Daily Limit
Generous for personal use Limited daily usage
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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