Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

Intelligence Score 91/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open
View Provider Analysis →

Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

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

Detailed Comparison

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

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