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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OpenRouter

Intelligence Score 65/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 87/100 vs 65/100, Llama 4 Scout outperforms DeepSeek: R1 (free) by 22 points.

Clear Winner: Significant performance advantage for Llama 4 Scout.

HEAD-TO-HEAD

Feature	Llama 4 Scout	DeepSeek: R1 (free)
Context Window	1k RPD, 30k TPM	128k
Architecture	Transformer (Open Weight)	Dense Transformer
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	20 requests/minute
Daily Limit	14,400 Requests/Day	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	Undisclosed	Undisclosed
Limitations	Test	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	LPU Accelerated Extremely Fast Inference Open Source Models	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing