Battle of the Models

Compare specific LLM models, context windows, and capabilities.

meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100

Model Popularity 0 votes

Context Window 8K tokens

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 83/100 vs 76/100, meta/llama-3-70b-instruct outperforms Phi-3 Mini 4K Instruct by 7 points.

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	Phi-3 Mini 4K Instruct
Context Window	8K tokens	4K
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~75-79%	~70-74%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	30 RPM
Daily Limit	Credit-based	Generous for personal use
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	70b	Undisclosed
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	Rate limits on free tier Model availability may vary Smaller selection than aggregators
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Fully serverless (no infrastructure to manage) OpenAI-compatible API format HuggingFace model IDs supported