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

View Provider Analysis →

LLM7.io

Intelligence Score 65/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 70/100 vs 65/100, Phi-2 outperforms Qwen 2.5 by 5 points.

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

HEAD-TO-HEAD

Feature	Phi-2	Qwen 2.5
Context Window	2K	32K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~65-69%	~60-64%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies by model	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	10,000 neurons/day	Up to 5M tokens/day (rolling 24h, with free token)
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	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use