Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open
View Provider Analysis →

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100
Context Window 8k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
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
Phi-3.5 Mini
Gemma 2 9B Instruct
Context Window
128K tokens 8k
Architecture
Transformer Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 300 Requests / hour
Daily Limit
Unlimited Dependent on global load
Capabilities
Reasoning
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 9B
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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