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

Gemini 3.1 Pro

S-TIER

Google

Intelligence Score 99/100
Context Window 2M
Pricing Model Commercial / Paid
Model Popularity 0 votes
Commercial/Paid Model
FINAL VERDICT

Gemini 3.1 Pro Wins

With an intelligence score of 99/100 vs 83/100, Gemini 3.1 Pro outperforms Qwen3.5 72B Instruct by 16 points.

Clear Winner: Significant performance advantage for Gemini 3.1 Pro.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.5 72B Instruct
Gemini 3.1 Pro
Context Window
128K 2M
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~75-79% ~92-95%
Release Date
2024 2026 (Expected)
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
300 Requests / hour 2,000 RPM
Daily Limit
Dependent on global load 1,500 requests/day (free tier)
Capabilities
Chinese
Vision Function Calling Streaming JSON Mode Web Search
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
72B ~1.5T (estimated)
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • API key required
  • Rate limits vary by region
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Complex tasks
  • Creative concepts
  • Best-in-class reasoning

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