Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Qwen 2.5 72B

S-TIER

Hyperbolic

Intelligence Score 91/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Commercial / Paid

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100
Context Window 8k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Wins

With an intelligence score of 91/100 vs 80/100, Qwen 2.5 72B outperforms Gemma 2 9B Instruct by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 72B
Gemma 2 9B Instruct
Context Window
32K 8k
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~85-87% ~75-79%
Release Date
Sep-Nov 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 300 Requests / hour
Daily Limit
Credit-based Dependent on global load
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
72B 9B
Limitations
  • Credits are limited ($1)
  • Decentralized nature may vary latency
  • Billing flow involves crypto/stripe
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • Verifiable Inference (verified computing)
  • Low Cost due to decentralized compute
  • Privacy focused
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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