Gemma · Global AI Product Index

Overview

Gemma is Google's family of open-weight models derived from the same research as Gemini. The Gemma 4 generation (April 2026) spans mobile and IoT sizes (E2B, E4B), desktop-class 12B, 26B, and 31B models, and specialized variants such as DiffusionGemma for fast text diffusion, MedGemma for medical text and images, EmbeddingGemma, and T5Gemma. Weights run across Google AI Studio, Hugging Face, Kaggle, Ollama, LM Studio, and Gemma.cpp, and hosted inference is also available.

Key features

Compact open-weight models from sub-billion to mid-size scales
Multimodal and code-focused variants
Optimized for consumer hardware and on-device inference
Supported across Ollama, Hugging Face, and Google AI tooling

Use cases

Running capable models locally on consumer hardware
On-device and edge AI applications
Fine-tuning small models for focused tasks

Pricing

Gemma weights are free to download under the Gemma license; hosted inference is available through Google and third parties at usage prices.

Record details

Provenance, dates and links are kept here so the main sections stay about the product itself.

Links, dates and provenance

Record updated: 2026-09-10
Model family: Gemma
Founded: 2010
Headquarters: GB
Canonical URL: https://globalaiproductindex.com/products/gemma/

Selection profile

Every field says where its value comes from. "Unknown" means we have not confirmed it — it does not mean the product lacks the feature.

Selection profile11 fields4 unknown

Tasks it fits: Running models yourself
Derived from the record: category "open-models".
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How you use it: Model weights
Derived from record tag matching /^open-weights$/.
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Runs on: Not recorded
No platform support is stated in the record.
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Where it runs: Local machine
Open-weight models are run by the user, not served by the vendor.
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Works offline: Partly
Local execution implies the model can run without a network once downloaded, but the vendor does not state this in the record.
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Official service region: Global
Mirrors the availability field already on the record ("global").
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Public API: Not recorded
The record does not state whether a public API exists.
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Licence: Gemma Terms of Use
Mirrors the licence already recorded on the product record; not re-verified against the licence text by this migration.
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Commercial use: Not recorded
No licence terms recorded, so commercial use cannot be asserted.
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Interface languages: Not recorded
No vendor page read in this pass states the product's own interface languages; the key exists so the field can be answered later rather than left absent.
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Billing: Open source Free Free allowance: Yes Subscription required: No
Prices are the vendor’s advertised entry price and exclude taxes; always confirm on the vendor’s own page.
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Where each value comes from

Tasks it fits: Our inference
How you use it: Our inference
Runs on: Our inference
Where it runs: Our inference
Works offline: Our inference
Official service region: Our inference
Public API: Our inference
Licence: Our inference
Commercial use: Our inference
Interface languages: Unknown

Frequently asked questions

Is Gemma open source?

Gemma models are released with open weights under Google's Gemma license, permitting broad use including commercial applications.

How is Gemma related to Gemini?

Gemma is built from the same research and technology as Google's Gemini models, in smaller open-weight form.

Can Gemma run locally?

Yes. Gemma is designed for laptops and single-GPU machines and runs in tools like Ollama and LM Studio.

What does the Gemma record not confirm?

Gemma's homepage returned no response during the recorded fetch, so no public documentation or pricing page is recorded, and supported regions and interface languages stay unconfirmed.

Similar products

Phi — Family of small open-weight language models from Microsoft, designed for strong reasoning at compact sizes.
OLMo — Fully open large language model family from Ai2, released with its training data, code, and weights.
Baichuan — Open-weight bilingual LLM family from Beijing-based Baichuan Intelligence, now focused on medical AI with its Baichuan-M reasoning models.
Command R — Cohere's open-weight LLM family optimized for retrieval-augmented generation and tool use; succeeded by Command A as Cohere's flagship.
DBRX — Open-weight mixture-of-experts LLM released by Databricks in 2024; retired from Databricks serving in 2025, though the weights remain available.
DeepSeek — Open-weight LLM family and chat assistant from Hangzhou-based DeepSeek, known for strong reasoning models.

All Gemma alternatives → · All Open Models products →

Related guides

Open-source AI models

Sources

This record was last reviewed on 2026-09-10.

Machine-readable record: /api/products/gemma.json · Spot an error? Suggest a correction

At a glance