Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
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 8B Instruct

BentoML

Intelligence Score 71/100
Context Window 8K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Llama 3 8B Instruct Wins

With an intelligence score of 71/100 vs 65/100, Llama 3 8B Instruct outperforms Dolphin Mixtral by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Dolphin Mixtral
Llama 3 8B Instruct
Context Window
32K tokens 8K
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
10 RPM (free tier) Hardware dependent
Daily Limit
Limited daily usage Unlimited
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 8B
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

Similar Comparisons