Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Dolphin Mixtral

Venice.ai

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

Phi-3 Mini 4K Instruct

Glhf.chat

Intelligence Score 76/100
Context Window 4K
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
Dolphin Mixtral
Phi-3 Mini 4K Instruct
Context Window
32K tokens 4K
Architecture
Mixture of Experts (MoE) Transformer
Est. MMLU Score
~60-64% ~70-74%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) 30 RPM
Daily Limit
Limited daily usage Generous for personal use
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported

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