Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Poolside Laguna XS.2

Requesty

Intelligence Score 65/100

Model Popularity 0 votes

Context Window Long context

Pricing Model Free / Open

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A-TIER

LLM7.io

Intelligence Score 86/100

Context Window 256K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 86/100 vs 65/100, Codestral Latest outperforms Poolside Laguna XS.2 by 21 points.

Clear Winner: Significant performance advantage for Codestral Latest.

HEAD-TO-HEAD

Feature	Poolside Laguna XS.2	Codestral Latest
Context Window	Long context	256K Context
Architecture	Transformer	Transformer
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	60 RPM	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	💻 Code Generation
Model Size	Undisclosed	Undisclosed
Limitations	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use