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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A-TIER

LLM7.io

Intelligence Score 80/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 89/100 vs 80/100, Mixtral 8x22B Instruct outperforms Mistral Nemo Instruct 2407 by 9 points.

HEAD-TO-HEAD

Feature	Mixtral 8x22B Instruct	Mistral Nemo Instruct 2407
Context Window	64K	128K Context
Architecture	Mixture of Experts (MoE)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM (varies by model)	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	Credit-based (no daily cap)	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	Reasoning Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
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	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use