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Gemini 3Google's AI, right in your browser

The third generation of Gemini holds large documents in context in full and reads images alongside text. Available on Moleculs.ai with no Google account needed.

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Ready-made prompts

Examples created by our users

5 840 texts created today

Why Moleculs.ai

A straightforward way to work with AI

What Gemini 3 handles

Large documents, data analysis, images, and code

  • Large Documents

    The model holds long material in full - you can ask about the whole text, not just fragments.

  • Reading Images

    A screenshot, a diagram, a photo of a page - it answers based on what's in the picture.

  • Data and Tables

    Pulls numbers together, spots patterns, and explains where the conclusion came from.

  • Code and Debugging

    Reads someone else's project, explains the logic, finds the root cause of a bug.

All of it in one window. Pick a task, write a short prompt, and get a draft you can quickly shape into exactly what you need.

How to start working with Gemini 3

  1. Step 01

    Open a chat

    Sign up with email or a social account - no Google account needed.

    Open a chat
  2. Step 02

    Choose Gemini 3

    The version switches right in the chat: Pro for complex tasks, Flash for quick ones.

    Choose Gemini 3
  3. Step 03

    Attach your material

    A document, a table, or an image - the model answers based on the content.

    Attach your material
  4. Step 04

    Keep the conversation going

    History is saved, so you can come back to it later.

    Keep the conversation going

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Try Moleculs.ai right now

Describe your task in one field and get a finished result in minutes. Moleculs.ai brings together the best AI models for text, images, video, and voice in a single interface. Start with a free generation, then subscribe to work without limits: write text, scale content, and switch between models without juggling extra tools.

Gemini 3: what's different about the third generation

The main thing that sets the Gemini line apart from competitors is context size. The model holds long material in full, and that changes how you work with it: instead of cutting a report into chunks and stitching the answers together, you hand over the whole document and ask questions about it directly.

Second, images are handled on par with text. A screenshot of an error, a diagram, a photo of a textbook page, a picture of a table: the model answers based on what it actually sees, not general assumptions about the subject.

Pro and Flash: when to use which

The Pro version thinks longer and holds up noticeably better where many facts need to connect: reviewing a contract, analyzing data, a long technical task.

Flash answers fast and costs less. It's the everyday version for conversation, short texts, quick questions along the way - and anything where you need the answer right now.

The practical rule: everyday tasks go to Flash, and Pro kicks in selectively, when the cost of a mistake outweighs the cost of the answer. Switching between them doesn't reset the conversation's context.

Gemini and Gemma are different things

This mix-up comes up often. Gemini is Google's main closed-source line. Gemma is the open-source, smaller sibling - lighter and weaker on complex tasks, but cheaper. In the Moleculs.ai catalog they're kept separate, and the model picker in chat won't mix one up with the other.

Access in one subscription

No separate Google account is needed: the request runs through Moleculs.ai, and Gemini sits in the same subscription as every other model. If Gemini isn't the right fit for a specific task, you can switch to other models in the same chat - the GPT, Claude, Grok lines, and more - without losing your conversation.

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