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

Llama 3.1 (Any Size)

LM Studio

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

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 65/100, Qwen 2.5 72B Instruct outperforms Llama 3.1 (Any Size) by 26 points.

Clear Winner: Significant performance advantage for Qwen 2.5 72B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 72B Instruct
Llama 3.1 (Any Size)
Context Window
32K Varies
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~60-64%
Release Date
Sep-Nov 2024 Jul 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
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
72B Undisclosed
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Closed source application
  • Large downloads
  • Hardware dependent performance
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Model Discovery: Built-in search of HuggingFace
  • GGUF Support: Optimized quantized models
  • GPU Offload: Mix CPU/GPU layers

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