Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.2 3B Instruct

Cloudflare Workers AI

Intelligence Score 75/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open
View Provider Analysis →

meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100
Context Window 8K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

meta/llama-3-70b-instruct Wins

With an intelligence score of 83/100 vs 75/100, meta/llama-3-70b-instruct outperforms Llama 3.2 3B Instruct by 8 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.2 3B Instruct
meta/llama-3-70b-instruct
Context Window
128K 8K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~75-79%
Release Date
Sep 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies by model Varies by model
Daily Limit
10,000 neurons/day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
3B 70b
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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