Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mistral Large (24.11)

S-TIER

GitHub Models

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 128K

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 90/100 vs 83/100, Mistral Large (24.11) outperforms meta/llama-3-70b-instruct by 7 points.

HEAD-TO-HEAD

Feature	Mistral Large (24.11)	meta/llama-3-70b-instruct
Context Window	128K	8K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Varies by Copilot Tier	Varies by model
Daily Limit	Low	Credit-based
Capabilities	Reasoning Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	70b
Limitations	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Prototyping	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models