# Gemini carbon v1 w factory excl 1 of 1

**URL:** <https://www.artofsm.art/t/gemini-carbon-v1-w-factory-excl-1-of-1/27083>\
**Category:** Content Creators\
**Tags:** gemini-4, matthew-berman, machine-learning, \-tech, benchmarking, tech, google\
**Created:** [29 October 2026 00:29 UTC](https://www.artofsm.art/t/gemini-carbon-v1-w-factory-excl-1-of-1/27083 "2026-10-29T00:29:20Z")\
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**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\
**Post date:** [29 October 2026 00:29 UTC](https://www.artofsm.art/t/gemini-carbon-v1-w-factory-excl-1-of-1/27083/1 "2026-10-29T00:29:20Z")

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[![](https://www.artofsm.art/uploads/default/original/3X/5/f/5f20f7ec019fc147b17ca2b7507df2db302e1ca3.jpeg "gemini carbon v1 w factory excl 1 of 1") ](https://www.youtube.com/watch?v=zhnJo7s91ls)

Google’s newly announced Gemini 4 Carbon AI model outperforms existing models in cybersecurity, coding, and agentic tasks while offering improved efficiency, safety, and affordable pricing, marking a significant advancement in AI capabilities. This release signals Google’s renewed leadership in the AI space amid rapid industry innovation, with a phased rollout planned starting with cybersecurity partners before broader developer and consumer access.

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