Gemini Models Explained: Which One Powers AI Search and What It Means for SEO
Gemini is Google's AI model family, and it powers the AI surfaces inside Google Search. As of September 2026 the model that matters most is Gemini 3.5 Flash, which Google made the default in AI Mode globally at I/O 2026; Gemini 3.8 Flash is the newest Flash, available to Pro and Ultra subscribers, and Gemini 3.5 Flash-Lite is rolling out in Google Search. This page compares the search-relevant lineup and explains what it means for SEO.
The Current Gemini Model Lineup
All current Gemini text models share the same documented limits: 1,048,576 token input, 65,536 token output, inputs across text, image, video, audio and PDF, text output, and support for Grounding with Google Search, per Google's model documentation. The table focuses on the five models tied to Search and SEO; the wider catalog also includes Gemini 3.6 Flash, the 3.1 Pro preview, Gemini 3 Flash and the 2.5 Flash line, plus restricted Cyber variants for vetted defenders.
| Model | Released | Context | Modalities | Where it is used | Best fit |
|---|---|---|---|---|---|
| Gemini 3.8 Flash | Sep 2, 2026 | 1M in / 64K out | Text, image, video, audio, PDF | AI Mode for Pro and Ultra subscribers | Newest Flash; preview of the next default |
| Gemini 3.7 Flash | Aug 13, 2026 | 1M in / 64K out | Text, image, video, audio, PDF | API, AI Mode picker, third-party products | Efficiency-first workloads |
| Gemini 3.5 Flash | May 19, 2026 | 1M in / 64K out | Text, image, video, audio, PDF | Default in AI Mode globally | The AI Mode volume; your baseline |
| Gemini 3.5 Flash-Lite | Jul 21, 2026 | 1M in / 64K out | Text, image, video, audio, PDF | Rolling out in Google Search | Scale surfaces like AI Overviews |
| Gemini 2.5 Pro | 2025 | 1M in / 64K out | Text, image, video, audio, PDF | API products from the 2.5 era | Legacy-but-live professional tier |
Release Timeline
Most recent first. Dates are from Google's announcements and documentation, linked in the sources below.
Gemini 3.8 Flash released
Google's most intelligent Flash model, available to Google AI Pro and Ultra subscribers in AI Mode, alongside a restricted 3.8 Flash Cyber variant.
Gemini 3.7 Flash released
The efficiency-first Flash, with introductory pricing through the end of 2026 and a slot in the subscriber AI Mode picker.
Gemini 3.6 Flash and 3.5 Flash-Lite released
3.6 Flash joined the line and Flash-Lite, the fastest and most cost-effective model, began rolling out in Google Search.
Gemini 3.5 Flash became the global AI Mode default
Announced at I/O 2026 as Google rebuilt Search around AI Mode, making 3.5 Flash the model behind the default AI search experience.
Gemini 3 became the AI Overviews default globally
Google's last explicit AI Overviews default statement; Flash-Lite's Search rollout came later without a new named default.
The Gemini 2.0 line shut down
2.0 Flash and Flash-Lite were retired per the deprecations page, while the 2.5 line remains stable with no announced shutdown.
How Model Choice Affects Retrieval, Citation and Freshness
The short answer: every current Gemini model grounds in the same place, Google Search, so model choice shifts which surface and audience you are answering for, not where retrieval happens. Grounding retrieves from Google's index and links sources in the answer, which keeps classic rankings the supply line for every Gemini surface.
What changes by model is scale and depth. Flash-Lite class models power the biggest surfaces and read the least per answer, so extraction decides everything. The AI Mode default reads more and synthesizes real answers with a handful of links. Subscriber-tier Flash models verify hardest. Freshness splits the same way it does everywhere: training cutoffs range from January 2025 on 2.5 Pro to mid-2026 on the newest Flash line, so live grounding, not model memory, is the surface your updates reach first.
What This Means for SEO
The Gemini playbook is Google-native: hold your rankings, do the Knowledge Graph and schema entity work, keep Googlebot access clean, and structure pages answer-first so grounded models can lift you into the response. The complete method is my Gemini SEO guide, the commercial version is the Gemini SEO expert service, and multi-engine work runs under the AI SEO expert program.
Then measure per surface: AI Mode baselining against 3.5 Flash, AI Overviews impressions in Search Console's generative AI reports, and subscriber-tier spot checks on 3.8 Flash. The entity-first discipline behind my Arshay Cooper technical SEO, AEO and GEO case study and the visibility gains in my chiropractic clinic AI visibility case study are the same work this page describes, pointed at Google's surfaces.
Every Gemini Model, Explained
Each search-relevant model gets its own page: what it is, its key facts with sources, its retrieval behavior, and the checklist for staying visible when it handles the query.
Frequently Asked Questions
Which Gemini model powers AI Mode in Google Search?
Which model powers AI Overviews?
How many Gemini models are current?
Do Gemini models use my Google rankings?
What is Google-Extended and should I allow it?
Is Gemini 2.5 Pro going away?
Sources
Every model fact on this page comes from Google's own documentation and announcements, listed below and linked inline where each fact appears.
- Google: Gemini API models overview
- Google: Search at I/O 2026
- Google: AI Mode and AI Overviews updates
- Google: Gemini 3.8 Flash announcement
- Google: Gemini 3.7 Flash announcement
- Google: Gemini 3.6 Flash and 3.5 Flash-Lite announcement
- Google: Gemini 3 Flash announcement
- Google: Gemini API deprecations
- Google: Gemini app model support page
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