Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open
View Provider Analysis →

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100
Context Window 32K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 70B Instruct Wins

With an intelligence score of 88/100 vs 65/100, Llama 3.1 70B Instruct outperforms Dolphin Mixtral by 23 points.

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

Detailed Comparison

Feature
Llama 3.1 70B Instruct
Dolphin Mixtral
Context Window
128K 32K tokens
Architecture
Transformer (Open Weight) Mixture of Experts (MoE)
Est. MMLU Score
~80-84% ~60-64%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) 10 RPM (free tier)
Daily Limit
Subject to availability Limited daily usage
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B Undisclosed
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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