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

View Provider Analysis →

S-TIER

Google AI Studio

Intelligence Score 96/100

Context Window 1M Context, 15 RPM

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 96/100 vs 65/100, Gemini 3.1 Flash outperforms Dolphin Mixtral by 31 points.

Clear Winner: Significant performance advantage for Gemini 3.1 Flash.

HEAD-TO-HEAD

Feature	Dolphin Mixtral	Gemini 3.1 Flash
Context Window	32K tokens	1M Context, 15 RPM
Architecture	Mixture of Experts (MoE)	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~92-95%
Release Date	2024	2026 (Expected)
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 RPM (free tier)	5-30 RPM (varies by model)
Daily Limit	Limited daily usage	9000 RPD (Flash) / 25 RPD (3.1 Pro)
Capabilities	No specific data	Thinking Multimodal
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