Battle of the Models

Compare specific LLM models, context windows, and capabilities.

LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100

Model Popularity 0 votes

Context Window Local

Pricing Model Free / Open

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A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 81/100, meta/llama-3-70b-instruct outperforms LLaVA 1.5 by 2 points.

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

HEAD-TO-HEAD

Feature	LLaVA 1.5	meta/llama-3-70b-instruct
Context Window	Local	8K tokens
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Hardware dependent	Varies by model
Daily Limit	Unlimited	Credit-based
Capabilities	Vision	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	70b
Limitations	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models