Battle of the Models

Compare specific LLM models, context windows, and capabilities.

meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100

Model Popularity 0 votes

Context Window 8K tokens

Pricing Model Commercial / Paid

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S-TIER

Grokified

Intelligence Score 98/100

Context Window Unknown

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 98/100 vs 83/100, grok-4.6 outperforms meta/llama-3-70b-instruct by 15 points.

Clear Winner: Significant performance advantage for grok-4.6.

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	grok-4.6
Context Window	8K tokens	Unknown
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~75-79%	~92-95%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	No request-count cap; 32K input tokens/request
Daily Limit	Credit-based	$8/day and $3/hour of free credit
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	S-Tier (Elite)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	70b	Undisclosed
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	One-time credit, not a recurring free tier grok-4.7 and image/video quality variants need a paid plan Third-party reseller, independent from xAI
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	$5 one-time credit, no card 50% off list price OpenAI-compatible