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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S-TIER

Google AI Studio

Intelligence Score 90/100

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 87/100, Gemini 1.5 Pro outperforms Llama 4 Scout by 3 points.

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

HEAD-TO-HEAD

Feature	Llama 4 Scout	Gemini 1.5 Pro
Context Window	1k RPD, 30k TPM	2M Context, 2 RPM
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~80-84%	~85-87%
Release Date	2026 (Latest)	Feb-May 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM, 14.4k RPD	2-15 RPM
Daily Limit	14,400 Requests/Day	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	No specific data	Reasoning
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	Test	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	LPU Accelerated Extremely Fast Inference Open Source Models	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed