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

Google AI Studio

Intelligence Score 93/100

Context Window 1M Context, 10 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 93/100 vs 65/100, Gemini 2.0 Flash-Lite outperforms Dolphin Mixtral by 28 points.

Clear Winner: Significant performance advantage for Gemini 2.0 Flash-Lite.

HEAD-TO-HEAD

Feature	Dolphin Mixtral	Gemini 2.0 Flash-Lite
Context Window	32K tokens	1M Context, 10 RPM
Architecture	Mixture of Experts (MoE)	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~88-91%
Release Date	2024	Dec 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 RPM (free tier)	2-15 RPM
Daily Limit	Limited daily usage	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	S-Tier (Elite)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed