Gemini 3 Flash Preview
Neural Network
Gemini 3 Flash Preview is a Google reasoning model: Gemini 3 Flash for code, agent tasks, and multi-step chat.
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 Flash Preview?
Gemini 3 Flash Preview is a high-speed Google model with a reasoning mode, designed for agent scenarios, multi-step chat, and development assistance. According to the vendor, it approaches Pro-level quality in reasoning and tool usage while maintaining high response speeds. Through BotHub, the model is accessible from Russia without a VPN or foreign card; you pay with a Russian card in rubles only for tokens actually consumed, which do not expire. Other neural networks are available in the same window, allowing you to compare responses and switch models in a few clicks. A unified OpenAI-compatible API connects Gemini 3 Flash Preview to your services without rewriting integrations. Use cases are straightforward: writing and refactoring code, understanding third-party projects and debugging, building agents with external function calls, conducting long dialogues where maintaining context is crucial, and quickly processing streams of repetitive tasks in support or analytics.Frequently asked questions about Gemini 3 Flash Preview
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 Gemini text model with a reasoning mode, image and document input support, and function calling. It is suitable for coding and refactoring, analyzing long reports and PDFs, parsing screenshots, STEM tasks, and mass batch processing.
The output limit is up to 65,536 tokens per response, and the context window reaches 1,048,576 tokens. This is enough for a large code module, a detailed document analysis, or a long analytical report without splitting the request.
Yes, the reasoning mode is confirmed in our data: the model can build intermediate steps before the final answer. This is useful in mathematics, logic, code debugging, and tasks where a chain of thought is important, not just a quick response.
Yes, both function calling and structured JSON output are supported. The model can be connected to your tools and services, and in BotHub, this is done via a unified OpenAI-compatible API, so switching models does not require rewriting integrations.
According to our data, image and document inputs are confirmed, including native file processing. You can send a screenshot, diagram, scan, or PDF and get a text analysis. There is no information in our data regarding audio or video.
There are no specific metrics for Russian in our data, so we will not promise specific figures. The Gemini line of models is traditionally multilingual, so it is easier to test it with your own tasks: in BotHub, access is open from Russia, without a VPN or foreign card.