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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S-TIER

GitHub Models

Intelligence Score 90/100

Context Window 128K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 83/100, Mistral Large (24.11) outperforms meta/llama-3-70b-instruct by 7 points.

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	Mistral Large (24.11)
Context Window	8K tokens	128K
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~85-87%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	Varies by Copilot Tier
Daily Limit	Credit-based	Low
Capabilities	No specific data	Reasoning Multilingual
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	70b	Undisclosed
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Prototyping