Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 3.2 11B Vision

A-TIER

Hugging Face Inference

Intelligence Score 82/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

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

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 82/100, Qwen 2.5 72B Instruct outperforms Llama 3.2 11B Vision by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.2 11B Vision
Qwen 2.5 72B Instruct
Context Window
128k 32K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~85-87%
Release Date
Sep 2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
300 Requests / hour Varies (community capacity)
Daily Limit
Dependent on global load Subject to availability
Capabilities
Text Vision
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
👁️ Vision & Multimodal General Purpose
Model Size
11B 72B
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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