Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-2

Cloudflare Workers AI

Intelligence Score 70/100

Model Popularity 0 votes

Context Window 2K

Pricing Model Free / Open

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Requesty

Intelligence Score 65/100

Context Window Long context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 70/100 vs 65/100, Phi-2 outperforms Poolside Laguna M.1 by 5 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	Phi-2	Poolside Laguna M.1
Context Window	2K	Long context
Architecture	Transformer	Transformer
Est. MMLU Score	~65-69%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies by model	60 RPM
Daily Limit	10,000 neurons/day	50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models
Capabilities	Reasoning	No specific data
Performance Tier	C-Tier (Good)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing