Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-3 (Any version)

LM Studio

Intelligence Score 65/100

Model Popularity 0 votes

Context Window Varies

Pricing Model Free / Open

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A-TIER

Ollama

Intelligence Score 80/100

Context Window 8K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 65/100, Gemma 2 9B outperforms Phi-3 (Any version) by 15 points.

Clear Winner: Significant performance advantage for Gemma 2 9B.

HEAD-TO-HEAD

Feature	Phi-3 (Any version)	Gemma 2 9B
Context Window	Varies	8K tokens
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	Hardware limited
Daily Limit	Unlimited	Unlimited
Capabilities	No specific data	Reasoning
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	9B
Limitations	Closed source application Large downloads Hardware dependent performance	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Model Discovery: Built-in search of HuggingFace GGUF Support: Optimized quantized models GPU Offload: Mix CPU/GPU layers	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration