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 →

A-TIER

Ollama

Intelligence Score 84/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 84/100, Qwen 2.5 72B Instruct outperforms Mistral Nemo 12B by 7 points.

HEAD-TO-HEAD

Feature	Qwen 2.5 72B Instruct	Mistral Nemo 12B
Context Window	32K	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~75-79%
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	Multilingual
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	72B	12B
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