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

Hyperbolic

Intelligence Score 91/100

Context Window 32K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 91/100 vs 86/100, Qwen 2.5 72B 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
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	Paid / Commercial
Rate Limit (RPM)	60 RPM	60 RPM
Daily Limit	Credit-based	Credit-based
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	Credits are limited ($1) Decentralized nature may vary latency Billing flow involves crypto/stripe
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Verifiable Inference (verified computing) Low Cost due to decentralized compute Privacy focused