Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K tokens
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-3.5 Mini Wins

Equal intelligence scores (65/100), but Phi-3.5 Mini offers a significantly larger context window.

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

Detailed Comparison

Feature
Phi-3.5 Mini
Dolphin Mixtral
Context Window
128K tokens 32K tokens
Architecture
Transformer Mixture of Experts (MoE)
Est. MMLU Score
~60-64% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 10 RPM (free tier)
Daily Limit
Unlimited Limited daily usage
Capabilities
Reasoning
No specific data
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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