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 →

OpenRouter

Intelligence Score 79/100

Context Window 32k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 79/100 vs 65/100, Qwen 2.5 7B Instruct (free) outperforms Dolphin Mixtral by 14 points.

HEAD-TO-HEAD

Feature	Dolphin Mixtral	Qwen 2.5 7B Instruct (free)
Context Window	32K tokens	32k
Architecture	Mixture of Experts (MoE)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~70-74%
Release Date	2024	Sep-Nov 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)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	7B
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