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

Google AI Studio

Intelligence Score 90/100

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 83/100, Gemini 1.5 Pro outperforms meta/llama-3-70b-instruct by 7 points.

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	Gemini 1.5 Pro
Context Window	8K tokens	2M Context, 2 RPM
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~75-79%	~85-87%
Release Date	2024	Feb-May 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	5-30 RPM (varies by model)
Daily Limit	Credit-based	9000 RPD (Flash) / 25 RPD (3.1 Pro)
Capabilities	No specific data	Reasoning
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	70b	~1.5T (estimated)
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed