Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Commercial / Paid

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OVH AI Endpoints

Intelligence Score 65/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 86/100 vs 65/100, Mixtral 8x7B Instruct outperforms Qwen3Guard-Gen-0.6B (Beta) by 21 points.

Clear Winner: Significant performance advantage for Mixtral 8x7B Instruct.

HEAD-TO-HEAD

Feature	Mixtral 8x7B Instruct	Qwen3Guard-Gen-0.6B (Beta)
Context Window	32K	32K tokens
Architecture	Mixture of Experts (MoE)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~60-64%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	2 RPM (Anonymous) / 400 RPM (Auth)
Daily Limit	Credit-based	Unspecified
Capabilities	Multilingual	Text
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	7B	0.6B
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	Beta service, may end or change 2 requests/minute for anonymous usage Requires token for higher limits (400 RPM)
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Data sovereignty (EU) Beta access to premium models Simple integration