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
View Provider Analysis →

Phi-3 Mini 4K Instruct

Glhf.chat

Intelligence Score 76/100
Context Window 4K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.2 11B Vision Wins

With an intelligence score of 82/100 vs 76/100, Llama 3.2 11B Vision outperforms Phi-3 Mini 4K Instruct by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.2 11B Vision
Phi-3 Mini 4K Instruct
Context Window
128k 4K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~75-79% ~70-74%
Release Date
Sep 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
300 Requests / hour 30 RPM
Daily Limit
Dependent on global load Generous for personal use
Capabilities
Text Vision
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
👁️ Vision & Multimodal ⚡ Fast Chat & Apps
Model Size
11B Undisclosed
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported

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