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

DeepSeek Coder 6.7B

A-TIER

Cloudflare Workers AI

Intelligence Score 83/100
Context Window 16K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek Coder 6.7B Wins

With an intelligence score of 83/100 vs 71/100, DeepSeek Coder 6.7B outperforms Llama 3 8B Instruct by 12 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Instruct
DeepSeek Coder 6.7B
Context Window
8K 16K
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~65-69% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Hardware dependent Varies by model
Daily Limit
Unlimited 10,000 neurons/day
Capabilities
No specific data
Code
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
General Purpose 💻 Code Generation
Model Size
8B 6.7B
Limitations
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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