Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro

S-TIER

Google AI Studio

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

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llamafile

Intelligence Score 64/100

Context Window Local

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 64/100, Gemini 1.5 Pro outperforms TinyLlama by 26 points.

Clear Winner: Significant performance advantage for Gemini 1.5 Pro.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	TinyLlama
Context Window	2M Context, 2 RPM	Local
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~60-64%
Release Date	Feb-May 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5-30 RPM (varies by model)	Hardware dependent
Daily Limit	9000 RPD (Flash) / 25 RPD (3.1 Pro)	Unlimited
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	Undisclosed
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server