Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3 Mini 4K Instruct

Glhf.chat

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 4K
Pricing Model Free / Open
View Provider Analysis →

Llama 3.2 3B

Ollama

Intelligence Score 75/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Phi-3 Mini 4K Instruct Wins

With an intelligence score of 76/100 vs 75/100, Phi-3 Mini 4K Instruct outperforms Llama 3.2 3B by 1 point.

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

Detailed Comparison

Feature
Phi-3 Mini 4K Instruct
Llama 3.2 3B
Context Window
4K 128K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~70-74% ~70-74%
Release Date
2024 Sep 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM Hardware limited
Daily Limit
Generous for personal use Unlimited
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 3B
Limitations
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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