Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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No matches found

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 32K tokens
Pricing Model Free / Open

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 65/100, Llama 3.1 405B outperforms Dolphin Mixtral by 26 points.

Clear Winner: Significant performance advantage for Llama 3.1 405B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Dolphin Mixtral
Llama 3.1 405B
Context Window
32K tokens 128K tokens
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) 10 RPM (free tier)
Daily Limit
Limited daily usage Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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