Google Gemini has become one of the most widely used AI platforms in the world, but the rapid pace of model releases, feature updates, and pricing changes creates genuine confusion. This FAQ addresses the most common questions about Gemini as of March 2026, with verified facts and clear answers.
Every answer in this article is based on publicly documented information. Where details are uncertain or subject to change, that is noted explicitly.
Key Takeaways
- The Gemini 3 model family includes Pro, Flash, Deep Think, and image generation variants.
- Gemini 3.1 Pro (February 19, 2026) is the current flagship powering Gemini Advanced.
- Google One AI Premium is the consumer subscription for full Gemini access.
- Privacy controls exist but require active configuration by the user.
- Gemini competes directly with ChatGPT (GPT-5.2), Claude, and Perplexity.
Models and Versions
What is the latest Gemini model?
The most recent flagship model is Gemini 3.1 Pro, released on February 19, 2026. It replaced the Gemini 3 Pro preview (released November 18, 2025, now discontinued). Gemini 3.1 Pro uses a Mixture-of-Experts (MoE) architecture and supports multimodal input including text, images, audio, and video.
What other models are in the Gemini 3 family?
The Gemini 3 generation includes several models optimized for different tasks:
- Gemini 3.1 Pro (February 19, 2026) — Flagship model. Full multimodal capabilities, MoE architecture. Powers Gemini Advanced.
- Gemini 3 Pro (November 18, 2025) — The first Gemini 3 generation model. Now discontinued as a preview, replaced by 3.1 Pro.
- Gemini 3 Flash (December 17, 2025) — Optimized for speed and cost efficiency. Lower latency than Pro, used in the free Gemini tier and latency-sensitive applications.
- Gemini 3 Deep Think (December 4, 2025) — Extended reasoning variant designed for complex, multi-step problem-solving. Builds on the foundation established by Gemini 2.5 Pro Deep Think.
- Nano Banana 2 / Gemini 3.1 Flash Image (February 26, 2026) — Image generation and editing model. Attracted over 10 million new users and processed more than 200 million edits since launch. Uses SynthID watermarking to identify AI-generated images.
What is the difference between Gemini and Gemini Advanced?
Gemini (free) uses a less capable model — typically a Flash variant optimized for speed. It handles basic questions, simple content generation, and straightforward tasks.
Gemini Advanced (requires Google One AI Premium) uses the full Gemini 3.1 Pro model. It provides better reasoning, longer context, full multimodal capabilities, and Workspace integration. The quality difference is most noticeable on complex tasks that require multi-step reasoning or processing of images, audio, and video.
What is MoE architecture?
Mixture-of-Experts (MoE) is an architecture where the model contains multiple specialized sub-networks (“experts”). For any given input, only the relevant experts are activated. This means the model can be very large overall while remaining efficient per query — each task only uses the parameters it needs.
Gemini 3 Pro introduced MoE to the Gemini family, and Gemini 3.1 Pro inherits this architecture. It allows the model to handle diverse tasks — coding, creative writing, data analysis, image understanding — without the computational cost of activating all parameters for every query.
What happened to Gemini 2?
Gemini 2 models (including Gemini 2.5 Pro and its Deep Think variant) were the generation before the Gemini 3 family. They are being phased out as the Gemini 3 models mature. Gemini 2.5 Pro Deep Think laid the groundwork for the reasoning capabilities in Gemini 3 Deep Think.
Pricing and Subscriptions
How much does Gemini cost?
Free tier: Gemini is available for free at gemini.google.com and in the Gemini mobile app. The free tier uses a Flash model variant and has usage limits.
Google One AI Premium: The subscription tier that unlocks Gemini Advanced, Workspace AI integration, and 2 TB of Google One storage. Pricing varies by region.
API access: Developers access Gemini models through the Gemini API or Google Cloud’s Vertex AI platform. API pricing is per-token and varies by model:
- Gemini 3.1 Pro and other models have different per-token rates.
- Pricing details are available on the Google AI for Developers page and Google Cloud pricing page.
How does Gemini pricing compare to competitors?
For consumer subscriptions:
| Service | Subscription | Key Inclusion |
|---|---|---|
| Google One AI Premium | Varies by region | Gemini Advanced + Workspace AI + 2 TB storage |
| ChatGPT Plus | $20/month | GPT-5.2 + DALL-E + plugins |
| Claude Pro | $20/month | Claude Opus 4.6 + extended context |
| Perplexity Pro | $20/month | Enhanced search + more queries |
For API usage, pricing varies significantly:
| Model | Input (per M tokens) | Output (per M tokens) |
|---|---|---|
| Claude Sonnet 4.6 | $3.00 | $15.00 |
| DeepSeek V3.2 | $0.28 | $0.42 |
DeepSeek V3.2 represents the most aggressive API pricing on the market as of March 2026.
Is Gemini included with Google Workspace?
Gemini AI features in Workspace (Gmail, Docs, Sheets, Slides, Meet) require either:
- An individual Google One AI Premium subscription, or
- A Google Workspace edition with Gemini add-on enabled by the organization’s admin.
Standard Google Workspace accounts do not include Gemini features by default. The organization must provision the Gemini Workspace add-on, and this may have additional per-user costs depending on the Workspace edition.
Privacy and Data
Does Google use my Gemini conversations for training?
This depends on your account type and settings:
Consumer accounts: By default, conversations with Gemini may be reviewed by human reviewers and used to improve Google’s AI models. You can control this through the “Gemini Apps Activity” setting in your Google Account. Turning this off prevents your conversations from being saved and used for improvement, but it also disables conversation history.
Google Workspace accounts: Workspace administrators control data handling policies. In many Workspace configurations, Gemini conversations are not used for model training, but this depends on the organization’s agreement with Google and admin settings.
What data does Gemini access in Workspace?
When Gemini features are enabled in Workspace, the AI can access:
- Email content in Gmail (for summarization and drafting).
- Document content in Docs (for generation and analysis).
- Spreadsheet data in Sheets (for formula generation and data analysis).
- Presentation content in Slides.
- Meeting audio and transcripts in Meet.
Gemini accesses this data to perform the requested task. Whether this data is retained after the task depends on your privacy settings and account type.
How does Gemini handle image generation privacy?
Nano Banana 2 (Gemini 3.1 Flash Image) uses SynthID watermarking — an imperceptible digital watermark embedded in AI-generated images. This watermark allows automated detection of AI-generated content but is invisible to the human eye. Google implemented SynthID to help address concerns about AI-generated content being mistaken for authentic images.
Can I delete my Gemini conversation history?
Yes. For consumer accounts:
- Go to your Google Account → Data & Privacy → Gemini Apps Activity.
- You can delete individual conversations or all conversation history.
- You can also turn off Gemini Apps Activity entirely, which prevents future conversations from being saved.
For Workspace accounts, data retention is managed by the organization’s administrator.
Is Gemini GDPR compliant?
Google states that Gemini services comply with GDPR for users in the European Economic Area. Workspace editions include data processing agreements that cover GDPR requirements. Consumer accounts are covered by Google’s general privacy terms, which include GDPR provisions for EU users.
Features and Capabilities
Can Gemini browse the web?
Yes. Gemini can access current information through Google Search. This is an advantage over models that rely solely on training data — Gemini can provide up-to-date information on recent events, current prices, and other time-sensitive queries.
However, Gemini does not always clearly indicate when it is using search results versus training data. Competing services like Perplexity Pro make source attribution more explicit.
Can Gemini generate images?
Yes, through the Nano Banana 2 (Gemini 3.1 Flash Image) model. This capability was released February 26, 2026 and attracted significant adoption — over 10 million new users and more than 200 million image edits. Generated images include SynthID watermarks for AI content identification.
Does Gemini work offline?
No. Gemini requires an internet connection for all interactions. The model runs on Google’s servers, not on your device. The Gemini 3 Flash variant is optimized for lower latency, but it still requires connectivity.
What languages does Gemini support?
Gemini supports a wide range of languages for both input and output. The exact language list and quality level varies by task type (text generation is supported in more languages than voice interaction, for example). English generally receives the most development attention, but major languages including Spanish, French, German, Japanese, Korean, Chinese, Hindi, and Portuguese are well-supported.
Can I use Gemini with Siri?
Apple and Google announced a partnership on January 12, 2026, to integrate Gemini capabilities into Siri. As of March 2026, the specific details and timeline for this integration are still being finalized. When available, this would bring Gemini’s reasoning capabilities to iPhone users through Siri.
Is there a Gemini CLI tool?
Yes. Google released the Gemini CLI in June 2025, providing command-line access to Gemini models. This tool is designed for developers who want to integrate Gemini into scripts, pipelines, and development workflows without using the web interface or building custom API integrations.
Competition and Alternatives
How does Gemini compare to ChatGPT?
Gemini 3.1 Pro and GPT-5.2 (released December 11, 2025) are the flagship models from Google and OpenAI respectively. OpenAI reportedly accelerated GPT-5.2 development in response to competitive pressure from Google’s Gemini 3 lineup.
Gemini’s advantages: Deeper Google ecosystem integration, native multimodal architecture (text/image/audio/video), Google Search grounding.
ChatGPT’s advantages: Larger third-party plugin ecosystem, “thinking mode” for transparent reasoning, longer track record with developers.
How does Gemini compare to Claude?
Claude Opus 4.6 from Anthropic is generally regarded as stronger for extended reasoning and safety-critical applications. Gemini 3.1 Pro is stronger for multimodal tasks and ecosystem integration.
Claude Sonnet 4.6 ($3/$15 per million tokens) competes in the mid-tier, offering good reasoning at lower cost than the full Opus model.
What are the best free alternatives to Gemini?
- ChatGPT Free — Basic GPT access with usage limits.
- Claude Free — Access to Claude Sonnet with conversation limits.
- Perplexity Free — Basic search-grounded AI with limited queries.
- DeepSeek Chat — Free access to DeepSeek models via web interface.
Can I use multiple AI models including Gemini in one place?
Yes. Platforms like Flowith (https://flowith.io) provide canvas-based workspaces where you can access Gemini alongside Claude, GPT, and other models within a single persistent context. This multi-model approach lets you route different tasks to whichever model handles them best without switching between platforms.
How to Use Gemini Today
The fastest way to try Gemini 3.1 Pro is through Flowith (https://flowith.io), which provides immediate access to Gemini and other leading AI models in a canvas workspace. Flowith’s multi-model architecture lets you compare Gemini against Claude, GPT, and DeepSeek on the same tasks, with persistent context that preserves your conversation history across sessions. This is particularly useful for evaluating whether Gemini Advanced is worth subscribing to — you can test the model’s capabilities on your specific use cases before committing to Google One AI Premium.
Quick Reference Card
| Question | Answer |
|---|---|
| Latest model | Gemini 3.1 Pro (Feb 19, 2026) |
| Architecture | Mixture-of-Experts (MoE) |
| Modalities | Text, image, audio, video |
| Consumer access | Google One AI Premium |
| Free tier model | Gemini 3 Flash variant |
| Image generation | Nano Banana 2 (Feb 26, 2026) |
| Image watermarking | SynthID |
| Workspace apps | Gmail, Docs, Sheets, Slides, Meet |
| CLI tool | Available since June 2025 |
| Apple Siri integration | Announced Jan 12, 2026 |
References
- Gemini 3.1 Pro — Google AI Blog
- Google One AI Premium — Google One
- Gemini API pricing — Google AI for Developers
- Nano Banana 2 (Gemini 3.1 Flash Image) — Google Blog
- SynthID watermarking — Google DeepMind
- Apple and Google Gemini partnership — Apple Newsroom
- Gemini CLI — Google Developers
- Claude Sonnet 4.6 pricing — Anthropic
- DeepSeek V3.2 pricing — DeepSeek
- GPT-5.2 — OpenAI Blog
- Gemini privacy controls — Google Account Help
- Flowith multi-model workspace — Flowith