Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen3Guard-Gen-0.6B (Beta)

OVH AI Endpoints

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 32K tokens

Pricing Model Free / Open

View Provider Analysis →

A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 83/100 vs 65/100, meta/llama-3-70b-instruct outperforms Qwen3Guard-Gen-0.6B (Beta) by 18 points.

Clear Winner: Significant performance advantage for meta/llama-3-70b-instruct.

HEAD-TO-HEAD

Feature	Qwen3Guard-Gen-0.6B (Beta)	meta/llama-3-70b-instruct
Context Window	32K tokens	8K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~75-79%
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	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	0.6B	70b
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