Battle of the Models

Compare specific LLM models, context windows, and capabilities.

mistralai/mistral-7b-instruct-v0.2

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Intelligence Score 76/100

Model Popularity 0 votes

Context Window 32K tokens

Pricing Model Commercial / Paid

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A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 80/100 vs 76/100, Mistral Nemo outperforms mistralai/mistral-7b-instruct-v0.2 by 4 points.

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

HEAD-TO-HEAD

Feature	mistralai/mistral-7b-instruct-v0.2	Mistral Nemo
Context Window	32K tokens	128k
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	1 request/second
Daily Limit	Credit-based	-
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	7b	Undisclosed
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	Phone verification required Data training opt-in required 1 request/second rate limit
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support