Gemma 3 - 12B (IT)
Gemma 3 - 12B (IT) is an AI model published by Google Deep Mind, released on 2025-03-12, for Foundation model, with 12B parameters, and 128K context length, requiring about 2GB storage, under the Gemma Terms of Use license, with a 83.80 score on MATH.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Gemma 3 - 12B (IT) currently shows benchmark results led by MATH (9 / 42, score 83.80), MMLU Pro (106 / 126, score 60.60), GPQA Diamond (165 / 179, score 40.90). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
2 evaluationsCompare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
Gemma 3 - 12B (IT) is an AI model published by Google Deep Mind, released on 2025-03-12, for Foundation model, with 12B parameters, and 128K context length, requiring about 2GB storage, under the Gemma Terms of Use license, with a 83.80 score on MATH.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
