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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A-TIER

DeepSeek

Intelligence Score 83/100

Context Window 1M

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 65/100, DeepSeek-V4 Flash outperforms Dolphin Mixtral by 18 points.

Clear Winner: Significant performance advantage for DeepSeek-V4 Flash.

HEAD-TO-HEAD

Feature	Dolphin Mixtral	DeepSeek-V4 Flash
Context Window	32K tokens	1M
Architecture	Mixture of Experts (MoE)	Dense Transformer
Est. MMLU Score	~60-64%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	10 RPM (free tier)	60 RPM
Daily Limit	Limited daily usage	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	Undisclosed
Limitations	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods
Key Strengths	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)