Google DeepMind / google.com
Google's family of open source small language models that provide Gemini-quality AI in a deployable model size suitable for on-device, edge, and private deployment scenarios.
Pricing
Free
Free plan
Yes
Category
Developer Tools
Platforms
5
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
5
Google Gemma is DeepMind's open source model family, released to provide Google-quality AI in models small enough to deploy on consumer hardware, edge devices, and private cloud environments. Gemma models are trained using the same research techniques as Gemini, sharing architectural innovations that produce strong performance relative to model size.
Gemma 2 released in 2024 with 2B, 9B, and 27B parameter variants. The 9B Gemma 2 outperforms many larger models on standard benchmarks, demonstrating that Google's training efficiency produces models that punch above their weight class. The 2B variant runs on modern smartphones, enabling on-device AI without server inference.
Gemma's commercial-friendly licence allows using Gemma in commercial products and services — unlike some open source models with restrictive commercial terms, Gemma explicitly permits commercial deployment. This makes Gemma suitable for companies building AI products who want to avoid OpenAI API dependency without open source licence concerns.
Code Gemma specialises in code generation and understanding, while Gemma-based instruction-tuned models (Gemma-IT) are optimised for conversational and instruction-following tasks. PaliGemma adds vision capabilities to the Gemma family for multimodal applications.
The integration with Google's ecosystem — Vertex AI, Google AI Studio, and Kaggle — provides managed hosting and fine-tuning alongside the self-hosted option.
Google Gemma runs as generative ai software built around text and image workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on python, cli, and android, with API access for teams that want to embed it into their own products.
The capabilities that matter most for teams evaluating Google Gemma.
Gemma 2 9B and 27B achieve benchmark performance exceeding many larger models through Google's efficient training, providing strong capability per parameter.
Gemma 2B runs on modern smartphones enabling true on-device AI inference without server dependency for latency-sensitive or privacy-critical mobile applications.
Explicitly permits commercial use in products and services without large-scale user restrictions, simplifying commercial AI product development on open source models.
Free to download and use. Available on Hugging Face, Kaggle, and Google AI. Commercial use permitted. Google AI Studio provides free API access.
Model
Open Source
Starting price
Free
Free trial
No
Meta Llama (rank 413) has larger model variants and bigger ecosystem. Microsoft Phi (rank 415) focuses on similar small-but-capable positioning. Mistral models are strong European open source alternatives.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
Google DeepMind
Models
Gemma 2 2B, Gemma 2 9B, Gemma 2 27B, PaliGemma
Platforms
Python, CLI, Android, Web, API
Deployment
Open Source, SaaS
Integrations
Hugging Face, Vertex AI, Google AI Studio, Kaggle, Ollama, API
Team Collaboration
No
Launch Year
2024
Compliance signals and data-handling notes as reported by the vendor.
Open source model under Gemma Terms of Use (commercial use permitted). Google AI Studio API subject to Google's data handling policy. Self-hosted deployment keeps data private.
Self-hosted Gemma deployment keeps all data private. Google AI Studio API access subject to Google's terms. Review Gemma Terms of Use for specific deployment requirements.
Editorial Verdict
Google Gemma is an excellent open source model choice for developers wanting efficient models with commercial-friendly licensing, particularly for on-device deployment or private cloud inference where Gemma's size-to-performance ratio excels.
Last verified July 24, 2026.
Free to download and use. Available on Hugging Face, Kaggle, and Google AI. Commercial use permitted. Google AI Studio provides free API access.
Free tier with limited compute credits. Usage-based pricing per model run, starting from fractions of a cent for small models to several cents for large GPU-intensive models. Enterprise custom pricing.
Open source model under Gemma Terms of Use (commercial use permitted). Google AI Studio API subject to Google's data handling policy. Self-hosted deployment keeps data private.
Enterprise custom pricing includes SLAs, dedicated infrastructure, and security controls.
Self-hosted Gemma deployment keeps all data private. Google AI Studio API access subject to Google's terms. Review Gemma Terms of Use for specific deployment requirements.
Review individual model licences before commercial deployment. Some open source models have non-commercial or restricted use licences. Replicate does not own the models it hosts.
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