Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Free / Open

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S-TIER

Chutes.ai

Intelligence Score 91/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 89/100, Qwen 2.5 72B Instruct outperforms Phi-4 by 2 points.

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

HEAD-TO-HEAD

Feature	Phi-4	Qwen 2.5 72B Instruct
Context Window	128K	32K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~85-87%
Release Date	Dec 2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 RPM (high-tier) / higher for mini-tier	Varies (community capacity)
Daily Limit	50 RPD (high-tier models) / 150 RPD (mini-tier models)	Subject to availability
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	72B
Limitations	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Prototyping	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format