Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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stability-ai/sdxl

A-TIER

Replicate

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

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

Intelligence Score 91/100
Context Window 32K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 84/100, Qwen 2.5 72B Instruct outperforms stability-ai/sdxl by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
stability-ai/sdxl
Qwen 2.5 72B Instruct
Context Window
Image 32K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~85-87%
Release Date
2024 Sep-Nov 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model Varies (community capacity)
Daily Limit
Credit-based Subject to availability
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 72B
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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