Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 32K tokens

Pricing Model Free / Open

View Provider Analysis →

S-TIER

Chutes.ai

Intelligence Score 91/100

Context Window 32K

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	Dolphin Mixtral	Qwen 2.5 72B Instruct
Context Window	32K tokens	32K
Architecture	Mixture of Experts (MoE)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~85-87%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 RPM (free tier)	Varies (community capacity)
Daily Limit	Limited daily usage	Subject to availability
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	72B
Limitations	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format