gemini-4-hydrogen:batch

Neural Network

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Main

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Models

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Text AI Models

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gemini-4-hydrogen:batch

Specifications

Input
text, images, documents
Output
text
Context size
1 048 576 tokens
Max answer length
943 718 tokens
Reasoning effort
low, medium, high, extra high
Capabilities
reasoning, function calling
0,9 $

Prompt cost

(per 1M tokens)

4,5 $

Answer cost

(per 1M tokens)

< 0.01 $

Image prompt

(per 1K tokens)

*Prices are shown for API usage via ECO providers.
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Code example and API for gemini-4-hydrogen:batchWe 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
import OpenAI from 'openai';
const openai = new OpenAI({
  apiKey: '<your bothub access token>',
  baseURL: 'https://openai.bothub.chat/v1'
});


// Sync - Text generation 

async function main() {
  const chatCompletion = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'gemini-4-hydrogen:batch',
  });
} 

// Async - Text generation 

async function main() {
  const stream = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'gemini-4-hydrogen:batch',
    stream: true
  });

  for await (const chunk of stream) {
    const part: string | null = chunk.choices[0].delta?.content ?? null;
  }
} 
main();

How it works gemini-4-hydrogen:batch?

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Frequently asked questions about gemini-4-hydrogen:batch

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.

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