Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3 8B Instruct

BentoML

Intelligence Score 71/100

Model Popularity 0 votes

Context Window 8K

Pricing Model Commercial / Paid

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Glhf.chat

Intelligence Score 76/100

Context Window 4K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

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

Feature	Llama 3 8B Instruct	Phi-3 Mini 4K Instruct
Context Window	8K	4K
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~65-69%	~70-74%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Hardware dependent	30 RPM
Daily Limit	Unlimited	Generous for personal use
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	8B	Undisclosed
Limitations	Learning curve for 'Bento' concept Deployment requires cloud knowledge Local serving is just step 1	Rate limits on free tier Model availability may vary Smaller selection than aggregators
Key Strengths	Unified Model Store Distributed Runner Architecture Deployment Agnostic	Fully serverless (no infrastructure to manage) OpenAI-compatible API format HuggingFace model IDs supported