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

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemma 2 9B Instruct Wins

With an intelligence score of 80/100 vs 65/100, Gemma 2 9B Instruct outperforms Phi-3.5 Mini by 15 points.

Clear Winner: Significant performance advantage for Gemma 2 9B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemma 2 9B Instruct
Phi-3.5 Mini
Context Window
8k 128K tokens
Architecture
Transformer Transformer
Est. MMLU Score
~75-79% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
300 Requests / hour Hardware limited
Daily Limit
Dependent on global load Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
Model Size
9B Undisclosed
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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