Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mixtral 8x22B Instruct

A-TIER

DeepInfra

Intelligence Score 89/100

Model Popularity 0 votes

Context Window 64K

Pricing Model Commercial / Paid

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S-TIER

Friendli AI

Intelligence Score 94/100

Context Window 164K Context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 94/100 vs 89/100, DeepSeek V3.2 outperforms Mixtral 8x22B Instruct by 5 points.

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

HEAD-TO-HEAD

Feature	Mixtral 8x22B Instruct	DeepSeek V3.2
Context Window	64K	164K Context
Architecture	Mixture of Experts (MoE)	Dense Transformer
Est. MMLU Score	~80-84%	~88-91%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM (varies by model)	60 RPM
Daily Limit	Credit-based (no daily cap)	Credit-based
Capabilities	Reasoning Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	S-Tier (Elite)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	22B	Undisclosed
Limitations	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model	$10 credit is one-time trial Billing required after credits Limited model selection
Key Strengths	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime