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Gemma vs. Llama 3.2

LLM Comparison


Gemma

Gemma

Overview

Gemma is a family of lightweight open models from Google built using the same processes used for the the larger Gemini models.


Gemma was first released as a family of open models from Google -- 2B and 7B-parameter models, as of February 2024 -- intended for developers and compute-constrained devices. Despite their size, Gemma models compare favorably to other models of the same size such as the Mistral 7B model.


Initial release: 2024-02-21

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

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Gemma

Llama 3.2

Products & Features
Instruct Models
Coding Capability
Customization
Finetuning
Open Source
License Custom Custom (Commercial OK)
Model Sizes 2B, 7B 1B, 3B, 11B, 90B