Gemini 3.1 Pro Preview
Neural Network
Gemini 3.1 Pro Preview is Google's reasoning model for code, agentic tasks, and multimodal queries.
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 3.1 Pro Preview?
Gemini 3.1 Pro Preview is a reasoning model from Google built on the Gemini multimodal foundation. Compared to the previous version, it features enhanced code engineering, improved reliability in agentic scenarios, and more efficient token usage for multi-step tasks: the model plans steps, calls tools, and drives the chain to a result. Via BotHub, it is available without a VPN or foreign card: pay with a Russian card in rubles, only for tokens used, which do not expire. All 250+ models are in one window, making it easy to compare answers, and a unified OpenAI-compatible API allows switching models without rewriting integrations. Data is encrypted via AES-GCM, and companies get contracts, invoices, EDI, and an admin panel with limits. Use Gemini 3.1 Pro Preview to analyze and refactor large codebases, find floating bugs, build agents and function-calling pipelines, work with mixed text and image content, and untangle complex technical materials.Frequently asked questions about Gemini 3.1 Pro 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 text model with a context window of up to 1,048,576 tokens. It is suitable for analyzing large documents and repositories, writing and refactoring code, debugging, analytics, and STEM tasks, as well as working with images and files attached to your request.
The single response limit is 65,536 tokens, enough for a long article, detailed documentation, or a large code file. If there is more material, break the task into parts: the million-token context allows you to keep all source files in the dialogue.
Yes, the reasoning mode is confirmed. Before answering, the model breaks down the condition step-by-step, which significantly helps with math, logic, code analysis, and tasks requiring the synthesis of data from large documents.
Yes, the model supports function calling and structured JSON output—convenient for agents, document parsing, and integrations where the response goes directly into your system. With the unified OpenAI-compatible BotHub API, you won't need to rewrite connections for each model.
The model accepts images and documents as input: you can send a screenshot, diagram, PDF, or report and ask it to analyze the content. There is no information in our data regarding audio and video, so it is best to test this scenario with your specific task.
There is no specific note about languages in our data, so we cannot make promises: formulate your request in Russian and evaluate the result yourself. The BotHub interface and support are in Russian, payment is via Russian cards, no VPN is needed, and if you are not satisfied with the answer, switch to another model in the same window.