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
View Provider Analysis →

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 84/100, Llama 3.1 405B outperforms stability-ai/sdxl by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
stability-ai/sdxl
Llama 3.1 405B
Context Window
Image 128K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model 10 RPM (free tier)
Daily Limit
Credit-based Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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