Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Poolside Laguna M.1

Requesty

Intelligence Score 65/100

Model Popularity 0 votes

Context Window Long context

Pricing Model Free / Open

View Provider Analysis →

S-TIER

Grokified

Intelligence Score 98/100

Context Window Unknown

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 98/100 vs 65/100, grok-4.3 outperforms Poolside Laguna M.1 by 33 points.

Clear Winner: Significant performance advantage for grok-4.3.

HEAD-TO-HEAD

Feature	Poolside Laguna M.1	grok-4.3
Context Window	Long context	Unknown
Architecture	Transformer	Transformer
Est. MMLU Score	~60-64%	~92-95%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	60 RPM	No request-count cap; 32K input tokens/request
Daily Limit	50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models	$8/day and $3/hour of free credit
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	S-Tier (Elite)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency	One-time credit, not a recurring free tier grok-4.7 and image/video quality variants need a paid plan Third-party reseller, independent from xAI
Key Strengths	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing	$5 one-time credit, no card 50% off list price OpenAI-compatible