Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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LLaVA 1.5

A-TIER

llamafile

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

stability-ai/sdxl

A-TIER

Replicate

Intelligence Score 84/100
Context Window Image
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

stability-ai/sdxl Wins

With an intelligence score of 84/100 vs 81/100, stability-ai/sdxl outperforms LLaVA 1.5 by 3 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
LLaVA 1.5
stability-ai/sdxl
Context Window
Local Image
Architecture
Transformer Transformer
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Hardware dependent Varies by model
Daily Limit
Unlimited Credit-based
Capabilities
Vision
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
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
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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