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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S-TIER

Chutes.ai

Intelligence Score 91/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 91/100 vs 86/100, Qwen 2.5 72B Instruct outperforms Mixtral 8x7B Instruct by 5 points.

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

HEAD-TO-HEAD

Feature	Mixtral 8x7B Instruct	Qwen 2.5 72B Instruct
Context Window	32K	32K
Architecture	Mixture of Experts (MoE)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~85-87%
Release Date	2024	Sep-Nov 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	Varies (community capacity)
Daily Limit	Credit-based	Subject to availability
Capabilities	Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	7B	72B
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format