Google: Gemini models
Gemini is Google's family of models — fast Flash and strong Pro, a huge context window and work with images. What they are good at, access from Russia and how to connect them in SKILLOK.
In this article
Who they are#
Google develops the Gemini models at Google DeepMind. Gemini was trained from the start to work not only with text but also with images, audio and video.
Models#
- Flash and Flash-Lite — fast and very cheap, good for high-volume tasks.
- Pro — a strong model for complex analysis, code and reasoning.
- The open Gemma models — they can run on your own server.
The exact list and versions change often — current models are visible in the list when you connect a key in SKILLOK, and in the model catalog.
What they are good at#
- A very large context window — you can pass a whole book or a big repository.
- Strong work with images and documents.
- Flash is one of the best price-to-quality ratios.
Access from Russia#
The Gemini API is not available in Russia directly.
Models in the catalog#
Prices, context window and comparison with similar models:
- Gemini 4 Argon — $2 / $10 per million tokens
- Gemini 3.8 Flash — $0.825 / $4.125 per million tokens
- Nano Banana 2.1 — $1.5 / $7.5 per million tokens
How to connect in SKILLOK#
Gemini models work in SKILLOK through OpenRouter: connect an OpenRouter key and pick a google/… model.
In detail — Connecting in SKILLOK.
Prices#
Prices per million input and output tokens are on the official page. Through OpenRouter the prices are the same or close; how much you spent is shown in Settings → AI.
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