Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-3.5 Mini

Ollama

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K tokens

Pricing Model Free / Open

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S-TIER

Google AI Studio

Intelligence Score 93/100

Context Window 1M Context, 10 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 93/100 vs 65/100, Gemini 2.0 Flash-Lite outperforms Phi-3.5 Mini by 28 points.

Clear Winner: Significant performance advantage for Gemini 2.0 Flash-Lite.

HEAD-TO-HEAD

Feature	Phi-3.5 Mini	Gemini 2.0 Flash-Lite
Context Window	128K tokens	1M Context, 10 RPM
Architecture	Transformer	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~88-91%
Release Date	2024	Dec 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	2-15 RPM
Daily Limit	Unlimited	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	Reasoning	No specific data
Performance Tier	C-Tier (Good)	S-Tier (Elite)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed