Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3 8B Instruct

BentoML

Intelligence Score 71/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Commercial / Paid

Llama 3.2 11B Vision

A-TIER

Hugging Face Inference

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

Llama 3.2 11B Vision Wins

With an intelligence score of 82/100 vs 71/100, Llama 3.2 11B Vision outperforms Llama 3 8B Instruct by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Instruct
Llama 3.2 11B Vision
Context Window
8K 128k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~65-69% ~75-79%
Release Date
2024 Sep 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Hardware dependent 300 Requests / hour
Daily Limit
Unlimited Dependent on global load
Capabilities
No specific data
Text Vision
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose 👁️ Vision & Multimodal
Model Size
8B 11B
Limitations
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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