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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llamafile

Intelligence Score 64/100

Context Window Local

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 64/100, meta/llama-3-70b-instruct outperforms TinyLlama by 19 points.

Clear Winner: Significant performance advantage for meta/llama-3-70b-instruct.

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	TinyLlama
Context Window	8K tokens	Local
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~60-64%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	Hardware dependent
Daily Limit	Credit-based	Unlimited
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	C-Tier (Good)
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	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server