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 Instruct

BentoML

Intelligence Score 71/100
Context Window 8K
Pricing Model Commercial / Paid
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 Instruct 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 Instruct
Context Window
4K 8K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~70-74% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
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
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

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