Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Qwen3.5 72B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open
View Provider Analysis →

Phi-2

Cloudflare Workers AI

Intelligence Score 70/100
Context Window 2K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen3.5 72B Instruct Wins

With an intelligence score of 83/100 vs 70/100, Qwen3.5 72B Instruct outperforms Phi-2 by 13 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.5 72B Instruct
Phi-2
Context Window
128K 2K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~75-79% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
300 Requests / hour Varies by model
Daily Limit
Dependent on global load 10,000 neurons/day
Capabilities
Chinese
Reasoning
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
72B Undisclosed
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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