Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro

DEPRECATED

Google AI Studio

This model is no longer active/free — kept for reference.

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 2M Context, 2 RPM

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

HEAD-TO-HEAD

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