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

View Provider Analysis →

OpenRouter

Intelligence Score 65/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 71/100 vs 65/100, Llama 3 8B Instruct outperforms Microsoft: Phi-3 Mini (free) by 6 points.

HEAD-TO-HEAD

Feature	Llama 3 8B Instruct	Microsoft: Phi-3 Mini (free)
Context Window	8K	128k
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~65-69%	~60-64%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Hardware dependent	20 requests/minute
Daily Limit	Unlimited	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	C-Tier (Good)
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	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Unified Model Store Distributed Runner Architecture Deployment Agnostic	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing