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 →

Venice.ai

Intelligence Score 65/100

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 65/100, Qwen 2.5 72B Instruct outperforms Dolphin Mixtral by 26 points.

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

HEAD-TO-HEAD

Feature	Qwen 2.5 72B Instruct	Dolphin Mixtral
Context Window	32K	32K tokens
Architecture	Transformer (Open Weight)	Mixture of Experts (MoE)
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)	10 RPM (free tier)
Daily Limit	Subject to availability	Limited daily usage
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	72B	Undisclosed
Limitations	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance
Key Strengths	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network