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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A-TIER

Lepton AI

Intelligence Score 84/100

Context Window Image

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 84/100 vs 83/100, SDXL outperforms meta/llama-3-70b-instruct by 1 point.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	SDXL
Context Window	8K tokens	Image
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	Varies by model	60 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
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	Credits needed for production volume Smaller model selection than aggregators Focus on deployment over just API
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Standard OpenAI-compatible APIs Deploy custom models with one command High throughput optimization