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Google’s Gemini is the most multimodal lineup on RuAPI: the models read text and images, and some of them generate images too. Add a very large context window and several tiers — from the lightweight Flash-Lite to the heavyweight Pro. Below we walk through the whole lineup and how to pick a version for the task. Every model speaks the OpenAI-compatible protocol — connecting is covered in the Quickstart.

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The whole Gemini lineup

Start with Flash as the sweet spot. Hitting speed or cost limits at high volume? Drop to Flash-Lite. Short on depth for a hard task? Move up to Pro.

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A very large context window

Gemini’s traditional strong suit is its huge context: whole reports, long logs and large codebases fit in the window without chunking. That’s handy for document parsing, RAG with large fragments, and analyzing long conversations. The exact limit depends on the version and matches Google’s official one — check the current values on the Pricing page at www.ruapi.ai.

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Multimodal: reads images and generates them

Gemini works with images both ways. On input (vision) the models take images alongside text — see the image input guide for how to send an image in the request. On output dedicated models generate and edit images: gemini-2.5-flash-image, gemini-3.1-flash-image-preview, gemini-3-pro-image-preview. The exact current names of these preview models are on the Pricing page.
The text models in the lineup are gemini-3.5-flash, gemini-3.1-pro-preview, gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite. They can call functions and stream the response token by token.

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Which version to pick (2.5 / 3 / 3.1 / 3.5 / 3.6)

  • 2.5 (gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite) — the mature, stable generation and a good default choice.
  • 3 / 3.1 — newer models, including preview versions (gemini-3-flash-preview, gemini-3.1-pro-preview, gemini-3.1-flash-lite-preview) and image generation; reach for them for the latest capabilities, keeping in mind preview names can change.
  • 3.5 (gemini-3.5-flash, gemini-3.5-flash-lite) — the fresh Flash generation: -flash-lite is noticeably cheaper and faster, -flash is stronger.
  • 3.6 (gemini-3.6-flash) — the newest Flash generation and the current pick for new code.
Preview models change names as newer versions ship. Don’t hardcode IDs — the exact current names and per-token prices are always on the Pricing page at www.ruapi.ai.

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Connecting Gemini

You don’t need Google’s separate library: the endpoint is OpenAI-compatible, so take any OpenAI SDK and change the base_url.
  • base_url: https://www.ruapi.ai/v1
  • model: e.g. gemini-3.6-flash
The same key works in Cursor, Cline, n8n and LangChain. Step-by-step Python and curl code is in the Quickstart. You can top up your balance in the top-up section.

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Next

Connect and first request

base_url, key, Python and curl code.

Claude models

Same key — Claude’s lineup and capabilities.

GPT models

OpenAI’s lineup on the same endpoint.