Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Any Local Model

Text Generation WebUI

Intelligence Score 65/100

Model Popularity 0 votes

Context Window Varies

Pricing Model Free / Open

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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 65/100, Gemini 1.5 Pro outperforms Any Local Model by 25 points.

Clear Winner: Significant performance advantage for Gemini 1.5 Pro.

HEAD-TO-HEAD

Feature	Any Local Model	Gemini 1.5 Pro
Context Window	Varies	2M Context, 2 RPM
Architecture	Transformer	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~85-87%
Release Date	2024	Feb-May 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware dependent	2-15 RPM
Daily Limit	Unlimited	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	No specific data	Reasoning
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	Complex for beginners Updates can break things Resource heavy	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Supports almost every model format Parameter tweaking (temp, top_p, etc.) Character persona management	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed