Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen3Guard-Gen-8B (Beta)

OVH AI Endpoints

Intelligence Score 71/100

Model Popularity 0 votes

Context Window 32K tokens

Pricing Model Free / Open

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Replicate

Intelligence Score 76/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

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