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

Qwen 2.5

LLM7.io

Intelligence Score 65/100
Context Window 32K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen3.5 72B Instruct Wins

With an intelligence score of 83/100 vs 65/100, Qwen3.5 72B Instruct outperforms Qwen 2.5 by 18 points.

Clear Winner: Significant performance advantage for Qwen3.5 72B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.5 72B Instruct
Qwen 2.5
Context Window
128K 32K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~60-64%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
300 Requests / hour 30 RPM (no signup) / 120 RPM (free email token)
Daily Limit
Capped by monthly credit, not a flat request count Up to 5M tokens/day (rolling 24h, with free token)
Capabilities
Chinese
No specific data
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
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use

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