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.

Gemini Flash Latest works with text, documents, and images: analyzing long materials, summaries, rewriting, answering based on file content, code assistance, and image description. A context window of up to 200,000 tokens and support for batch processing make the model convenient for streaming and high-volume tasks.

In a single response, Gemini Flash Latest outputs up to 32,000 tokens — enough for a long article, detailed instruction, or a large code snippet. If you need more text, split the task into parts and continue with the next request, building on what has already been written.

There is no specific note about a reasoning mode in our data, but we won't deny the possibility. In practice, it helps to explicitly ask the model to break down the task step-by-step and show its thought process: with a 200,000-token context, there is enough room for a detailed breakdown.

Our data does not mention function calling or structured JSON, so we won't promise it. You can pass the schema and parameters via the unified OpenAI-compatible BotHub API and test the behavior in your scenario; explicitly describing the required format in the prompt often helps.

Yes, the model accepts images and documents as input: you can ask it to describe a picture, extract data from a scan, or answer based on file content. There is no note in our data about audio and video input — if this scenario is critical for you, test it with a small example.

Language characteristics are not specified in our data, so we won't make any claims in advance — it's better to run your typical query and see the result. In BotHub, this is quick: access without VPN or foreign cards, payment in rubles, and other models are available in the same window for comparison.