Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 4 Scout

A-TIER

Groq

Intelligence Score 87/100

Model Popularity 0 votes

Context Window 1k RPD, 30k TPM

Pricing Model Free / Open

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llamafile

Intelligence Score 64/100

Context Window Local

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 87/100 vs 64/100, Llama 4 Scout outperforms TinyLlama by 23 points.

Clear Winner: Significant performance advantage for Llama 4 Scout.

HEAD-TO-HEAD

Feature	Llama 4 Scout	TinyLlama
Context Window	1k RPD, 30k TPM	Local
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~60-64%
Release Date	2026 (Latest)	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM, 14.4k RPD	Hardware dependent
Daily Limit	14,400 Requests/Day	Unlimited
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Test	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	LPU Accelerated Extremely Fast Inference Open Source Models	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server