Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 (Deployable)

Cerebrium

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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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 65/100 vs 64/100, Llama 3.1 (Deployable) outperforms TinyLlama by 1 point.

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

HEAD-TO-HEAD

Feature	Llama 3.1 (Deployable)	TinyLlama
Context Window	128K	Local
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~60-64%
Release Date	Jul 2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Pay-per-second compute	Hardware dependent
Daily Limit	Credit-based	Unlimited
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	$30 is one-time trial credits Requires some DevOps knowledge Cold starts for serverless models	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	Deploy any HuggingFace model Serverless GPU infrastructure Auto-scaling (scale to zero)	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server