Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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 70B

A-TIER

Lepton AI

Intelligence Score 87/100
Context Window 8K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 70B Wins

With an intelligence score of 87/100 vs 65/100, Llama 3.1 70B outperforms Dolphin Mixtral by 22 points.

Clear Winner: Significant performance advantage for Llama 3.1 70B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Dolphin Mixtral
Llama 3.1 70B
Context Window
32K tokens 8K
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
10 RPM (free tier) 60 RPM
Daily Limit
Limited daily usage Credit-based
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 70B
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization

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