Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Llama 3 8B Instruct

BentoML

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

Gemma 2 9B

A-TIER

Ollama

Intelligence Score 80/100
Context Window 8K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemma 2 9B Wins

With an intelligence score of 80/100 vs 71/100, Gemma 2 9B outperforms Llama 3 8B Instruct by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Instruct
Gemma 2 9B
Context Window
8K 8K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~65-69% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Hardware dependent Hardware limited
Daily Limit
Unlimited Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
8B 9B
Limitations
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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