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 Quant

GPT4All

Intelligence Score 71/100
Context Window Local
Pricing Model Free / Open
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 Quant by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemma 2 9B Instruct
Llama 3 8B Quant
Context Window
8k Local
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
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
  • Slower than GPU inference
  • Limited to supported quantized formats
  • UI is basic
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • LocalDocs: Chat with your files privately
  • Nomic Embed Text: High quality embeddings
  • CPU Optimized (AVX2)

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