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

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S-TIER

Chutes.ai

Intelligence Score 97/100

Context Window 64K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 65/100, DeepSeek-R1 outperforms Dolphin Mixtral by 32 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.

HEAD-TO-HEAD

Feature	Dolphin Mixtral	DeepSeek-R1
Context Window	32K tokens	64K
Architecture	Mixture of Experts (MoE)	Dense Transformer
Est. MMLU Score	~60-64%	~92-95%
Release Date	2024	Jan 2025
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	Reasoning
Performance Tier	C-Tier (Good)	S-Tier (Elite)
Speed Estimate	Medium	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	Undisclosed	Undisclosed
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