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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Glhf.chat

Intelligence Score 76/100

Context Window 4K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 76/100, Gemini 1.5 Pro outperforms Phi-3 Mini 4K Instruct by 14 points.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	Phi-3 Mini 4K Instruct
Context Window	2M Context, 2 RPM	4K
Architecture	Transformer (Proprietary)	Transformer
Est. MMLU Score	~85-87%	~70-74%
Release Date	Feb-May 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5-30 RPM (varies by model)	30 RPM
Daily Limit	9000 RPD (Flash) / 25 RPD (3.1 Pro)	Generous for personal use
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	⚡ Fast Chat & Apps
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	Rate limits on free tier Model availability may vary Smaller selection than aggregators
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Fully serverless (no infrastructure to manage) OpenAI-compatible API format HuggingFace model IDs supported