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Llama 3.2 vs. OPT

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

OPT

OPT

Overview

Open Pre-trained Transformer Language Models (OPT) is part of the family of open source models designed to replicate GPT-3, with similar decoder-only architecture. It has since been superseded by models such as LLaMA, GPT-J, and Pythia.



Initial release: 2022-05-03

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Llama 3.2

OPT

Products & Features
Instruct Models
Coding Capability
Customization
Finetuning
Open Source
License Custom (Commercial OK) NA
Model Sizes 1B, 3B, 11B, 90B 1.3B, 2.7B, 6.7B, 13B, 30B, 66B, 175B