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 96/100

Context Window 1M Context, 15 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 65/100, Gemini 3.1 Flash outperforms Phi-3.5 Mini by 31 points.

Clear Winner: Significant performance advantage for Gemini 3.1 Flash.

HEAD-TO-HEAD

Feature	Phi-3.5 Mini	Gemini 3.1 Flash
Context Window	128K tokens	1M Context, 15 RPM
Architecture	Transformer	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~92-95%
Release Date	2024	2026 (Expected)
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	5-30 RPM (varies by model)
Daily Limit	Unlimited	9000 RPD (Flash) / 25 RPD (3.1 Pro)
Capabilities	Reasoning	Thinking Multimodal
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