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Model details

Gemma 3 12B IT (Deep Infra)

Gemma 3 12B IT is an instruction-tuned member of the Gemma 3 family developed by Google DeepMind, published as an open-weights model on Hugging Face under Google's usage license. The official model card describes Gemma as a family of lightweight, state-of-the-art open models built from the same research and technology that underpin the Gemini line, positioning the 12B IT checkpoint as a mid-sized, deployment-friendly option for practical generative AI work. As part of the Gemma 3 generation, the model is intended for text generation and image understanding tasks such as question answering, summarization, and reasoning, reflecting Google's goal of making capable multimodal models accessible beyond the largest frontier systems.

The model card links directly to the Gemma 3 Technical Report and the official Gemma documentation, giving practitioners a documented lineage into the Gemma 3 research and a clear path to deeper technical material beyond the card itself. That documentation is the authoritative reference for understanding the training approach, evaluation results, and intended usage guidelines associated with the 12B IT variant. For teams building assistants, retrieval pipelines, or multimodal prototypes that need a reasonably sized open model from a well-known research lab, Gemma 3 12B IT offers a balance between capability and footprint, with Google DeepMind's published report and model card serving as the primary resources for evaluating fit and integration.

Eden AIdeepinfra/google/gemma-3-12b-itgemma

Quick Info

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Provider
Eden AI
Model key
deepinfra/google/gemma-3-12b-it
Release date
Mar 12, 2025
Last updated
Mar 12, 2025
Knowledge cutoff
2024-08
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.05
Output token cost
$0.15

Limits

Output tokens
131,072 tokens
Context window
131,072 tokens

Transparent token rates

Compare Gemma 3 12B IT (Deep Infra) pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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