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

View Provider Analysis →

A-TIER

llamafile

Intelligence Score 81/100

Context Window Local

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 81/100 vs 65/100, LLaVA 1.5 outperforms Phi-3 (Any version) by 16 points.

Clear Winner: Significant performance advantage for LLaVA 1.5.

HEAD-TO-HEAD

Feature	Phi-3 (Any version)	LLaVA 1.5
Context Window	Varies	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	No specific data	Vision
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Closed source application Large downloads Hardware dependent performance	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	Model Discovery: Built-in search of HuggingFace GGUF Support: Optimized quantized models GPU Offload: Mix CPU/GPU layers	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server