deep-research-preview-04-2026

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deep-research-preview-04-2026

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 deep-research-preview-04-2026We 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 deep-research-preview-04-2026?

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Frequently asked questions about deep-research-preview-04-2026

Can I use deep-research-preview-04-2026 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 deep-research-preview-04-2026 do and what tasks is it suitable for?

This is a text model from Google with a context window of 65,536 tokens. It is suitable for in-depth analysis of large materials: analytical reviews, reports, working with documents and images, preparing structured summaries, as well as for code, refactoring, and tasks requiring sequential reasoning.

How much text can deep-research-preview-04-2026 write in a single response?

The output limit is up to 32,000 tokens per response. This is enough for a voluminous analytical breakdown, detailed documentation, a long report, or a large code fragment without manually splitting the task into parts. If necessary, continue the generation with the next message.

Can deep-research-preview-04-2026 reason before answering?

In our data, a separate reasoning mode for this model is not noted, so we will not guarantee it. In practice, a simple trick helps: ask in the prompt to break down the task step-by-step, verify facts, and only then provide the final conclusion.

Does deep-research-preview-04-2026 support function calling and JSON output?

In our data, function calling and structured output are not noted for this model. If the response format is critical, describe the required schema directly in the prompt. BotHub provides a unified OpenAI-compatible API, so you can switch to a model with confirmed function calling without rewriting the integration.

Can I upload images, audio, or video to deep-research-preview-04-2026?

Yes, images and documents are accepted as input in addition to text: you can ask to analyze a screenshot, diagram, table, or PDF and receive a text analysis. Audio and video are not listed as supported inputs for this model; for those, choose specialized models from the catalog.

How well does deep-research-preview-04-2026 understand Russian?

Google models traditionally work with Russian confidently, but we do not have official quality data for this specific version. Test it with your task: in BotHub, access is open from Russia without a VPN or foreign card, and payment is in rubles based on actual token usage.

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