Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

Intelligence Score 91/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Free / Open

View Provider Analysis →

Ollama

Intelligence Score 65/100

Context Window 128K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 65/100, Qwen 2.5 72B Instruct outperforms Phi-3.5 Mini by 26 points.

Clear Winner: Significant performance advantage for Qwen 2.5 72B Instruct.

HEAD-TO-HEAD

Feature	Qwen 2.5 72B Instruct	Phi-3.5 Mini
Context Window	32K	128K tokens
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~85-87%	~60-64%
Release Date	Sep-Nov 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies (community capacity)	Hardware limited
Daily Limit	Subject to availability	Unlimited
Capabilities	No specific data	Reasoning
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	72B	Undisclosed
Limitations	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration