Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

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

Gemma 2 9B

A-TIER

Ollama

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

Qwen 2.5 72B Instruct Wins

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

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 72B Instruct
Gemma 2 9B
Context Window
32K 8K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~85-87% ~75-79%
Release Date
Sep-Nov 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) Hardware limited
Daily Limit
Subject to availability Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
âš¡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
72B 9B
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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