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
View Provider Analysis →

LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100
Context Window Local
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

LLaVA 1.5 Wins

With an intelligence score of 81/100 vs 65/100, LLaVA 1.5 outperforms Dolphin Mixtral by 16 points.

Clear Winner: Significant performance advantage for LLaVA 1.5.
HEAD-TO-HEAD

Detailed Comparison

Feature
Dolphin Mixtral
LLaVA 1.5
Context Window
32K tokens Local
Architecture
Mixture of Experts (MoE) Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) Hardware dependent
Daily Limit
Limited daily usage Unlimited
Capabilities
No specific data
Vision
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server

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