Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

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

Llama 3.1 8B Instruct

A-TIER

Cloudflare Workers AI

Intelligence Score 80/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 8B Instruct Wins

Equal intelligence scores (80/100), but Llama 3.1 8B Instruct offers a significantly larger context window.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemma 2 9B Instruct
Llama 3.1 8B Instruct
Context Window
8k 128K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
300 Requests / hour Varies by model
Daily Limit
Dependent on global load 10,000 neurons/day
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium âš¡ 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
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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