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

DeepInfra

Intelligence Score 92/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 92/100 vs 89/100, Llama 3.1 405B Instruct outperforms Mixtral 8x22B Instruct by 3 points.

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

HEAD-TO-HEAD

Feature	Mixtral 8x22B Instruct	Llama 3.1 405B Instruct
Context Window	64K	128K
Architecture	Mixture of Experts (MoE)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~85-87%
Release Date	2024	Jul 2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM (varies by model)	60 RPM (varies by model)
Daily Limit	Credit-based (no daily cap)	Credit-based (no daily cap)
Capabilities	Reasoning Multilingual	Reasoning
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	Medium	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	General Purpose
Model Size	22B	405B
Limitations	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving