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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Replicate

Intelligence Score 76/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 89/100 vs 76/100, Mixtral 8x22B Instruct outperforms mistralai/mistral-7b-instruct-v0.2 by 13 points.

HEAD-TO-HEAD

Feature	Mixtral 8x22B Instruct	mistralai/mistral-7b-instruct-v0.2
Context Window	64K	32K tokens
Architecture	Mixture of Experts (MoE)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~70-74%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM (varies by model)	Varies by model
Daily Limit	Credit-based (no daily cap)	Credit-based
Capabilities	Reasoning Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	22B	7b
Limitations	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models