Gemini 3.5 Flash
Neural Network
Gemini 3.5 Flash is Google's multimodal model for code, reasoning, and parallel agent tasks.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
Image prompt
(per 1K tokens)
How it works Gemini 3.5 Flash?
Gemini 3.5 Flash is a multimodal model from Google's Flash line. It accepts text and other data types, matching Pro-level quality in code and reasoning while maintaining the speed and cost-efficiency of its class. It is specifically optimized for programming and parallel agent tasks, where the model handles multiple work threads simultaneously. In BotHub, Gemini 3.5 Flash is accessible without a VPN or foreign card: pay with a Russian card in rubles for actual token usage rather than a subscription, and unused balances do not expire. With over 250 models available in the same window, you can compare responses with other neural networks in a few clicks, and a unified OpenAI-compatible API allows switching without rewriting integrations. Chats are encrypted via AES-GCM, and data is not saved. Use cases include writing and refactoring code, debugging, analyzing logs, building agents with parallel tool calls, analyzing documents and images, and preparing analytics or drafts for your team. BotHub provides contracts, invoices, and electronic document management for companies, along with an admin panel for employee limits.Frequently asked questions about Gemini 3.5 Flash
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is a Google text model with a 1,048,576 token context window. It is suitable for coding, analyzing large documents and correspondence, analytics, STEM tasks, and reasoning. You can input not only text but also images and documents.
The output limit is up to 65,536 tokens per response. This is sufficient for a long article, detailed technical analysis, a large code module, or a structured report that doesn't need to be assembled from multiple short fragments.
Yes, reasoning mode is supported: the model outlines its solution process before providing the result. This significantly helps with math, logic, code debugging, and tasks requiring the verification of multiple conditions to reach a reasoned conclusion.
Yes. The model works with function calling and structured JSON output, making it easy to integrate into agents and services. BotHub provides a unified OpenAI-compatible API, so you can switch to another model without rewriting your integration.
According to our data, it supports image and document input, including native file processing. You can ask it to analyze a screenshot, diagram, chart, or multi-page PDF and receive a text explanation, summary, or extracted data.
The Gemini family of models was trained on multilingual data and works confidently with Russian-language queries: text analysis, correspondence, documents, and code explanations. You can easily test the quality yourself — access in BotHub is open without a VPN or foreign card, with payment in rubles.