Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
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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

Command R7B (12-2024)

A-TIER

Cohere

Intelligence Score 87/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Command R7B (12-2024) Wins

With an intelligence score of 87/100 vs 65/100, Command R7B (12-2024) outperforms Dolphin Mixtral by 22 points.

Clear Winner: Significant performance advantage for Command R7B (12-2024).
HEAD-TO-HEAD

Detailed Comparison

Feature
Dolphin Mixtral
Command R7B (12-2024)
Context Window
32K tokens 128K
Architecture
Mixture of Experts (MoE) Transformer
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) 20 requests/minute
Daily Limit
Limited daily usage -
Capabilities
No specific data
No specific data
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
  • Monthly quota shared across all models
  • 1,000 API calls/month on free tier
  • Commercial use restricted on free plan
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Retrieval Augmented Generation (RAG) built-in
  • Enterprise-grade models
  • Embeddings and reranking models

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