Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 4 Scout

A-TIER

Groq

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 1k RPD, 30k TPM
Pricing Model Free / Open

SDXL

A-TIER

Lepton AI

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

Llama 4 Scout Wins

With an intelligence score of 87/100 vs 84/100, Llama 4 Scout outperforms SDXL by 3 points.

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

Detailed Comparison

Feature
Llama 4 Scout
SDXL
Context Window
1k RPD, 30k TPM Image
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM, 14.4k RPD 60 RPM
Daily Limit
14,400 Requests/Day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Test
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization

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