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Llama 3.2 vs. Phi

LLM Comparison


Llama 3.2

Llama 3.2

Overview

Llama 3.2 introduced multimodal vision models (11B and 90B) alongside lightweight text-only models (1B and 3B) designed for on-device and edge deployment.


Llama 3.2 expanded Meta's open-source model family in two directions. The vision models (11B and 90B) are the first Llama models to support image understanding, enabling tasks such as chart analysis, document parsing, and visual question answering. The lightweight text models (1B and 3B) are optimised for on-device inference, with quantised versions available for mobile and edge hardware. All models benefit from the architectural improvements introduced in Llama 3.1.


Initial release: 2024-09-25

Phi

Phi

Overview

Phi is a series of compact language models developed by Microsoft using high-quality synthetic data and curated web content. Phi-3 and Phi-3.5 (2024) significantly raised the bar for small models, with the 3.8B Phi-3 Mini matching much larger open-source models on key benchmarks.


Phi-1 and Phi-2 are 1.3B and 2.7B parameter language models, respectively, developed by Microsoft to demonstrate the ability of smaller language models trained on high-quality data. In April 2024, Phi-3 was released across Mini (3.8B), Small (7B), and Medium (14B) sizes. Phi-3 Mini achieves performance competitive with Llama 3 8B and Mistral 7B at a fraction of the compute, making it ideal for edge and constrained-resource deployments. Phi-3.5 Mini and MoE followed in August 2024 with further improvements.


Initial release: 2023-06-20

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Llama 3.2

Phi

Products & Features
Instruct Models
Coding Capability
Customization
Finetuning
Open Source
License Custom (Commercial OK) MIT
Model Sizes 1B, 3B, 11B, 90B 1.3B, 2.7B, 3.8B, 7B, 14B