gemini-2.0-flash-lite-001

Neural Network

Beep-boop, writing text for you...
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gemini-2.0-flash-lite-001
32 000

Max answer length

(in tokens)

1 048 576

Context size

(in tokens)

15 714,29 ₽

Prompt cost

(per 1M tokens)

15 714,29 ₽

Answer cost

(per 1M tokens)

15,71 ₽

Image prompt

(per 1K tokens)

*Prices are shown for API usage via ECO providers.
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Code example and API for gemini-2.0-flash-lite-001We offer full access to the OpenAI API through our service. All our endpoints fully comply with OpenAI endpoints and can be used both with plugins and when developing your own software through the SDK.Create API key
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How it works gemini-2.0-flash-lite-001?

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Frequently asked questions about gemini-2.0-flash-lite-001

Can I use gemini-2.0-flash-lite-001 results for commercial purposes?

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.

What can gemini-2.0-flash-lite-001 do and what tasks is it suitable for?

This is a fast Google model for text tasks: summarization, data extraction, document Q&A, code assistance, and streaming processing of large volumes of text. It accepts images and documents as input and supports function calling. The context is 1,048,576 tokens, so an entire report or codebase fits into a single request.

How much text can gemini-2.0-flash-lite-001 write in a single response?

In a single response, the model outputs up to 32,000 tokens — enough for a lengthy article, detailed instructions, a large JSON, or a significant code snippet. If you need more, ask it to continue: the huge input context allows it to keep the entire previous text in the dialogue without losing the thread.

Can gemini-2.0-flash-lite-001 reason before answering?

A reasoning mode is not explicitly noted in our data, but that doesn't mean it's absent. The model answers quickly and to the point. If you need step-by-step reasoning, ask for it directly in the prompt — or switch to a reasoning model in the same window.

Does gemini-2.0-flash-lite-001 support function calling and JSON output?

Yes. Function calling and structured JSON output are supported — the model can be embedded into agents, connected to external services, and provide predictable responses based on a schema. In BotHub, this works via a unified OpenAI-compatible API, so switching models won't require rewriting your integration.

Can I upload images, audio, or video to gemini-2.0-flash-lite-001?

According to our data, images and documents are accepted as input: upload a scan, photo, PDF, or spreadsheet and ask to analyze the content, extract specific fields, or create a summary. Support for audio and video is not noted in our data — it's worth testing with your own file.

How well does gemini-2.0-flash-lite-001 understand Russian?

We don't have data on specific language support, so we won't make promises — it's easier to check the quality with your own task. In BotHub, this takes a minute: pay-as-you-go for tokens, no subscription, no VPN, and no foreign card required. If it doesn't fit, switch to another model in the same window.

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