gemini-robotics-er-2-preview

Neural Network

Beep-boop, writing text for you...
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gemini-robotics-er-2-preview

Specifications

Input
text, images, documents
Output
text
Context size
131 072 tokens
Max answer length
32 000 tokens
Capabilities
Batch API
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-robotics-er-2-previewWe 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-robotics-er-2-preview?

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Frequently asked questions about gemini-robotics-er-2-preview

Can I use gemini-robotics-er-2-preview 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-robotics-er-2-preview do and what tasks is it suitable for?

The Google model accepts text, images, and documents as input and responds with text. The context window is 65,536 tokens, so a large document or a series of frames will fit into a single request. It is suitable for image analysis, data extraction from files, and text analytics based on visual material.

How much text can gemini-robotics-er-2-preview write in a single response?

The limit for a single response is 32,000 tokens, which is approximately several dozen pages. This is more than enough for most tasks: detailed document analysis, long summaries, or structured descriptions of a series of images. If you need a larger volume, break the work into sequential requests — the 65,536-token context is sufficient for this.

Can gemini-robotics-er-2-preview reason before answering?

There is no specific note about a reasoning mode in our data, so we will not promise it. However, nothing stops you from asking the model to break down the task step-by-step directly in the prompt — this usually results in more accurate answers. The easiest way to check is with your own example.

Does gemini-robotics-er-2-preview support function calling and JSON output?

There is no note about function calling or strict JSON mode in our data, so we will not guarantee them. You can request the desired format with a standard instruction in the prompt and a schema description. The model is available via the unified OpenAI-compatible BotHub API, so testing your scenario is a matter of a couple of minutes.

Can I upload images, audio, or video to gemini-robotics-er-2-preview?

Images and documents — yes, these are confirmed input formats: you can send a frame, scan, or file and get a text analysis. Audio and video are not listed as supported inputs, so it is better to use a different model for sound and clips — switching in one BotHub window is quick.

How well does gemini-robotics-er-2-preview understand the Russian language?

We do not have data on prompt and response languages, so we will not make any claims about Russian — this can only be verified with your specific task. What is definitely available: interface and payment in rubles, access from Russia without a VPN or foreign card, and pay-per-token billing.

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