Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-3.5 Mini

Ollama

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K tokens

Pricing Model Free / Open

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A-TIER

llamafile

Intelligence Score 81/100

Context Window Local

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 81/100 vs 65/100, LLaVA 1.5 outperforms Phi-3.5 Mini by 16 points.

Clear Winner: Significant performance advantage for LLaVA 1.5.

HEAD-TO-HEAD

Feature	Phi-3.5 Mini	LLaVA 1.5
Context Window	128K tokens	Local
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 dependent
Daily Limit	Unlimited	Unlimited
Capabilities	Reasoning	Vision
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server