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

Intelligence Score 99/100

Context Window 2M

Pricing Model Commercial / Paid

Model Popularity 0 votes

Commercial/Paid Model

FINAL VERDICT

With an intelligence score of 99/100 vs 65/100, Gemini 3.1 Pro outperforms Dolphin Mixtral by 34 points.

Clear Winner: Significant performance advantage for Gemini 3.1 Pro.

HEAD-TO-HEAD

Feature	Dolphin Mixtral	Gemini 3.1 Pro
Context Window	32K tokens	2M
Architecture	Mixture of Experts (MoE)	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~92-95%
Release Date	2024	2026 (Expected)
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	10 RPM (free tier)	2,000 RPM
Daily Limit	Limited daily usage	1,500 requests/day (free tier)
Capabilities	No specific data	Vision Function Calling Streaming JSON Mode Web Search
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	API key required Rate limits vary by region
Key Strengths	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network	Complex tasks Creative concepts Best-in-class reasoning