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

OpenRouter

Intelligence Score 96/100

Context Window 1M

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 65/100, Google: Gemini 2.0 Pro (free) outperforms Dolphin Mixtral by 31 points.

Clear Winner: Significant performance advantage for Google: Gemini 2.0 Pro (free).

HEAD-TO-HEAD

Feature	Dolphin Mixtral	Google: Gemini 2.0 Pro (free)
Context Window	32K tokens	1M
Architecture	Mixture of Experts (MoE)	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~92-95%
Release Date	2024	Dec 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 RPM (free tier)	20 requests/minute
Daily Limit	Limited daily usage	50 requests/day (up to 1000 with $10 topup)
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	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing