Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 8B (Fast)

DEPRECATED

Cerebras

This model is no longer active/free — kept for reference.

Intelligence Score 78/100

Model Popularity 0 votes

Context Window 8K

Pricing Model Free / Open

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A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 78/100, meta/llama-3-70b-instruct outperforms Llama 3.1 8B (Fast) by 5 points.

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

HEAD-TO-HEAD

Feature	Llama 3.1 8B (Fast)	meta/llama-3-70b-instruct
Context Window	8K	8K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~75-79%
Release Date	Jul 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial)	Varies by model
Daily Limit	1M tokens/day	Credit-based
Capabilities	Reasoning	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	8B	70b
Limitations	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models