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

View Provider Analysis →

OpenRouter

Intelligence Score 65/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

Both models score 65/100 and have comparable capabilities.

🎯 Selection Guide:
Your choice depends on provider preference, latency requirements, and specific features.

HEAD-TO-HEAD

Feature	Phi-3.5 Mini	Microsoft: Phi-3 Medium (free)
Context Window	128K tokens	128k
Architecture	Transformer	Transformer
Est. MMLU Score	~60-64%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	20 requests/minute
Daily Limit	Unlimited	50 requests/day (up to 1000 with $10 topup)
Capabilities	Reasoning	No specific data
Performance Tier	C-Tier (Good)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing