Gemini 2.0 Flash-Lite
Neural Network
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 2.0 Flash-Lite?
Frequently asked questions about Gemini 2.0 Flash-Lite
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 2.0 Flash-Lite works with text: it writes and edits, analyzes and fixes code, answers questions, and summarizes long materials. It accepts images and documents as input, so it is suitable for analyzing scans, tables, and screenshots. The 200,000-token context can hold large files in their entirety.
Up to 32,000 tokens in a single response — that's dozens of pages. Enough for a long article, a draft of documentation, or a detailed code analysis with explanations. If you need more, break the task into parts: the 200,000-token context allows you to keep all the material in one dialogue.
A separate reasoning mode is not noted in our data for this model, so we won't promise it. But ask it to write out the solution step-by-step, and you will get a detailed breakdown. For complex logical and STEM tasks, models with a confirmed reasoning mode are available nearby in BotHub.
Function calling and structured output are not noted in our data for this model, so we cannot provide guarantees. You can describe the required schema directly in the prompt and ask for the response strictly in JSON. And BotHub's unified OpenAI-compatible API allows you to switch to a model with confirmed function calling without rewriting the integration.
Images and documents — yes, these are confirmed input formats: send photos, screenshots, PDFs, and ask to analyze the content. Audio and video are not noted in our data, so for transcribing recordings or working with videos, choose a specialized model — they are all in one BotHub window.
We do not have data on the quality of performance with specific languages, so we will not make promises. The most reliable way is to test it with your own task: send a typical request and compare it with another model in the same window. Access from Russia without a VPN or foreign card, pay-as-you-go for tokens.