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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OVH AI Endpoints

Intelligence Score 71/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 76/100 vs 71/100, mistralai/mistral-7b-instruct-v0.2 outperforms Qwen3Guard-Gen-8B (Beta) by 5 points.

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

HEAD-TO-HEAD

Feature	mistralai/mistral-7b-instruct-v0.2	Qwen3Guard-Gen-8B (Beta)
Context Window	32K tokens	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~65-69%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	2 RPM (Anonymous) / 400 RPM (Auth)
Daily Limit	Credit-based	Unspecified
Capabilities	No specific data	Text
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	7b	8B
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	Beta service, may end or change 2 requests/minute for anonymous usage Requires token for higher limits (400 RPM)
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Data sovereignty (EU) Beta access to premium models Simple integration