Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open

TinyLlama

llamafile

Intelligence Score 64/100
Context Window Local
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Phi-3.5 Mini Wins

With an intelligence score of 65/100 vs 64/100, Phi-3.5 Mini outperforms TinyLlama by 1 point.

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

Detailed Comparison

Feature
Phi-3.5 Mini
TinyLlama
Context Window
128K tokens Local
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited Hardware dependent
Daily Limit
Unlimited Unlimited
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
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server

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