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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A-TIER

Ollama

Intelligence Score 84/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 84/100 vs 83/100, Mistral Nemo 12B outperforms meta/llama-3-70b-instruct by 1 point.

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

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	Mistral Nemo 12B
Context Window	8K tokens	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	Hardware limited
Daily Limit	Credit-based	Unlimited
Capabilities	No specific data	Multilingual
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	70b	12B
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration