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 8B Quant

GPT4All

Intelligence Score 71/100
Context Window Local
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 71/100, Phi-3 Mini 4K Instruct outperforms Llama 3 8B Quant by 5 points.

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 8B Quant
Context Window
4K Local
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~70-74% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM Hardware dependent
Daily Limit
Generous for personal use Unlimited
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 8B
Limitations
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
  • Slower than GPU inference
  • Limited to supported quantized formats
  • UI is basic
Key Strengths
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported
  • LocalDocs: Chat with your files privately
  • Nomic Embed Text: High quality embeddings
  • CPU Optimized (AVX2)

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