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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Requesty

Intelligence Score 65/100

Context Window Long context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 89/100 vs 65/100, Mixtral 8x22B Instruct outperforms Poolside Laguna M.1 by 24 points.

Clear Winner: Significant performance advantage for Mixtral 8x22B Instruct.

HEAD-TO-HEAD

Feature	Mixtral 8x22B Instruct	Poolside Laguna M.1
Context Window	64K	Long context
Architecture	Mixture of Experts (MoE)	Transformer
Est. MMLU Score	~80-84%	~60-64%
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)	50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models
Capabilities	Reasoning Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
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	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing