Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100
Model Popularity 0 votes
Context Window 8k
Pricing Model Free / Open

Llama 3 8B Instruct

BentoML

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

Gemma 2 9B Instruct Wins

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

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemma 2 9B Instruct
Llama 3 8B Instruct
Context Window
8k 8K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
300 Requests / hour Hardware dependent
Daily Limit
Dependent on global load Unlimited
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
9B 8B
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

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