Last refreshed 2026-06-29. Next refresh: weekly.
Why use Gemma 4 12B on Kaggle Models?
Kaggle Models offers Gemma 4 12B with competitive pricing. Kaggle Models is Google Kaggle's model hub for discovering and downloading public machine learning models, including official Google Gemma weights for local and notebook-based use.
Compare Gemma 4 12B across 2 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: google/gemma-4google/gemma-4Request example
google/gemma-4.Gotchas
- Use provider model ID "google/gemma-4", not the LLMReference slug "gemma-4-12b".
Compare Gemma 4 12B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Hugging Face Inference Endpoints | — | — |
| Kaggle Models | — | — |
Capabilities
About Gemma 4 12B
Google DeepMind's 12B open-weight multimodal model (Apache 2.0), designed to run on a 16GB laptop. First medium-sized model with native audio ingestion alongside text and image. Unified encoder-free decoder-only architecture. Supports 140+ languages. MMLU Pro: 77.2%.
FAQ
What is the context window for Gemma 4 12B on Kaggle Models?
Gemma 4 12B supports a 262k token context window on Kaggle Models.
What API model ID do I use for Gemma 4 12B on Kaggle Models?
Use the model ID google/gemma-4 when calling Kaggle Models's API.
Who created Gemma 4 12B?
Gemma 4 12B was created by Google DeepMind as part of the Gemma 4 model family.
Is Gemma 4 12B open source?
Gemma 4 12B is open source under Apache 2.0 according to the seed data.