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

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Replicate

Intelligence Score 76/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 76/100, Qwen 2.5 72B Instruct outperforms mistralai/mistral-7b-instruct-v0.2 by 15 points.

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

HEAD-TO-HEAD

Feature	Qwen 2.5 72B Instruct	mistralai/mistral-7b-instruct-v0.2
Context Window	32K	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~70-74%
Release Date	Sep-Nov 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Varies (community capacity)	Varies by model
Daily Limit	Subject to availability	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	72B	7b
Limitations	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models