Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100
Model Popularity 0 votes
Context Window Local
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

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

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