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

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100
Context Window 32K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x7B Instruct Wins

With an intelligence score of 86/100 vs 65/100, Mixtral 8x7B Instruct outperforms Dolphin Mixtral by 21 points.

Clear Winner: Significant performance advantage for Mixtral 8x7B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Dolphin Mixtral
Mixtral 8x7B Instruct
Context Window
32K tokens 32K
Architecture
Mixture of Experts (MoE) Mixture of Experts (MoE)
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 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
Multilingual
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 7B
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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