Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100

Model Popularity 0 votes

Context Window 64K

Pricing Model Free / Open

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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 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	DeepSeek-R1	Dolphin Mixtral
Context Window	64K	32K tokens
Architecture	Dense Transformer	Mixture of Experts (MoE)
Est. MMLU Score	~92-95%	~60-64%
Release Date	Jan 2025	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	Reasoning	No specific data
Performance Tier	S-Tier (Elite)	C-Tier (Good)
Speed Estimate	🐢 Slower (Reasoning)	Medium
Primary Use Case	🧠 Complex Reasoning	General Purpose
Model Size	Undisclosed	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