Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 128k

Pricing Model Free / Open

View Provider Analysis →

Venice.ai

Intelligence Score 65/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 94/100 vs 65/100, Meta: Llama 3.3 70B Instruct (free) outperforms Dolphin Mixtral by 29 points.

Clear Winner: Significant performance advantage for Meta: Llama 3.3 70B Instruct (free).

HEAD-TO-HEAD

Feature	Meta: Llama 3.3 70B Instruct (free)	Dolphin Mixtral
Context Window	128k	32K tokens
Architecture	Transformer (Open Weight)	Mixture of Experts (MoE)
Est. MMLU Score	~88-91%	~60-64%
Release Date	Dec 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	20 requests/minute	10 RPM (free tier)
Daily Limit	50 requests/day (up to 1000 with $10 topup)	Limited daily usage
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	C-Tier (Good)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	70B	Undisclosed
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network