Gemini 3.6 Flash
Google's Gemini models answer across Google's own surfaces and apps. Gemini 3.6 Flash is the current fast Gemini we measure - we read how that ecosystem describes and recommends your company.
Model details
- Model ID
gemini-3.6-flash- Context window
- 1M tokens
- Knowledge cutoff
- Jan 2026
Knowledge cutoff vs training data cutoff
Knowledge cutoff and training data cutoff are different dates: the knowledge cutoff is roughly how current a model's world knowledge is, while the training data cutoff is when its training data ends. Both shape what a model knows about you.
What we use this model for
We ask this model directly about your company to see how it describes you and which names it brings up in your space. It is one of several frontier models in our measurement set, so your visibility is read across the assistants people actually use rather than from a single model.
Recent updates for this model
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1 days ago
Google is rolling out a Media Watermark toggle that allows users to disable visible watermarks on images, videos, and tracks created via Gemini and the Flow AI video generator. While the visible watermark can be removed, the invisible SynthID tag and C2PA metadata remain embedded in the content.
- Google introduced a Media Watermark toggle for Gemini and Flow, allowing users to disable visible watermarks on AI-generated images, videos, and songs.
- The Media Watermark removal feature is available to paid AI Ultra plan users.
- Google maintains invisible SynthID tags and C2PA data embedding even when visible watermarks are disabled.
Sources: hi@mail.theresanaiforthat.com, cyberman@mail.beehiiv.com, theverge.com
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2 days ago
The llm-gemini plugin version 0.33 released with support for Gemini 3.7 Flash, Gemini 3.6 Flash, and Gemini 3.5 Flash Lite. The update also introduced two new embedding models, gemini-embedding-2 and gemini-embedding-001.
- llm-gemini plugin version 0.33 added support for Gemini 3.7 Flash, Gemini 3.6 Flash, and Gemini 3.5 Flash Lite.
- llm-gemini 0.33 introduced gemini-embedding-2 and gemini-embedding-001 embedding models.
Sources: simonwillison.net
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3 days ago
Google AI Studio requires users to transition Gemini API billing from Postpay to Prepay by October 12, 2026, to maintain access to paid features. Google Cloud integrated Gemini-powered code conversion into its Database Migration Service, allowing for AI-generated PL/pgSQL review alongside original code. Google is also testing new AI-driven search buttons on its homepage to promote image creation and file queries.
- Gemini 3.6 Flash was utilized in agentic workflow testing alongside other frontier models.
- Google AI Studio mandates a transition from Postpay to Prepay for Gemini API billing by October 12, 2026.
- Google Cloud added Gemini-powered code conversion to its Database Migration Service for PostgreSQL migrations.
- Google tested new AI search buttons on its homepage to encourage image creation and file queries.
Sources: googleaistudio-noreply@google.com, hello@every.to, hello@8020ai.co, dan@tldrnewsletter.com, newsletters@searchengineland.com
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may be out of date
Google AI leadership underwent a significant reshuffle as Chief Researcher Jeff Dean departed the company after 27 years and Demis Hassabis assumed a new strategic role. This transition follows a period of internal movement involving several high-profile AI experts.
- Chief researcher Jeff Dean departed Google after 27 years of service.
- Demis Hassabis transitioned into a new strategic role within Google's AI organization.
Sources: ComputerSweden@edt.computersweden.se, theverge.com, hello@mindstream.news
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