Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Any HuggingFace Model

Cerebrium

Intelligence Score 65/100
Model Popularity 0 votes
Context Window Model-dependent
Pricing Model Commercial / Paid

Llama 4 Scout

A-TIER

Groq

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

Llama 4 Scout Wins

With an intelligence score of 87/100 vs 65/100, Llama 4 Scout outperforms Any HuggingFace Model by 22 points.

Clear Winner: Significant performance advantage for Llama 4 Scout.
HEAD-TO-HEAD

Detailed Comparison

Feature
Any HuggingFace Model
Llama 4 Scout
Context Window
Model-dependent 1k RPD, 30k TPM
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2026 (Latest)
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Pay-per-second compute 30 RPM, 14.4k RPD
Daily Limit
Credit-based 14,400 Requests/Day
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • $30 is one-time trial credits
  • Requires some DevOps knowledge
  • Cold starts for serverless models
  • Test
Key Strengths
  • Deploy any HuggingFace model
  • Serverless GPU infrastructure
  • Auto-scaling (scale to zero)
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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