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

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A-TIER

llamafile

Intelligence Score 81/100

Context Window Local

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 81/100 vs 65/100, LLaVA 1.5 outperforms Poolside Laguna M.1 by 16 points.

Clear Winner: Significant performance advantage for LLaVA 1.5.

HEAD-TO-HEAD

Feature	Poolside Laguna M.1	LLaVA 1.5
Context Window	Long context	Local
Architecture	Transformer	Transformer
Est. MMLU Score	~60-64%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	60 RPM	Hardware dependent
Daily Limit	50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models	Unlimited
Capabilities	No specific data	Vision
Performance Tier	C-Tier (Good)	B-Tier (Strong)
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	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server