GPT 5 Pro Batch
Neural Network
GPT 5 Pro is an OpenAI model for complex tasks: step-by-step reasoning, code work, and precise instruction following.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 400 000 tokens
- Max answer length
- 128 000 tokens
- Reasoning effort
- high
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
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: 'gpt-5-pro:batch',
});
}
// Async - Text generation
async function main() {
const stream = await openai.chat.completions.create({
messages: [{ role: 'user', content: 'Say this is a test' }],
model: 'gpt-5-pro:batch',
stream: true
});
for await (const chunk of stream) {
const part: string | null = chunk.choices[0].delta?.content ?? null;
}
}
main();
How it works GPT 5 Pro Batch?
GPT 5 Pro is an OpenAI model for tasks where accuracy matters more than speed: it breaks down conditions step-by-step, maintains long reasoning chains, and follows instructions precisely. Compared to previous versions, it features improvements in reasoning and code quality. The batch variant is designed for bulk processing when requests are sent in volume and results aren't needed instantly. In BotHub, the model works from Russia without a VPN or foreign card; pay in rubles for tokens as you use them, and they don't expire. Over 250 models are available in one window: easily compare answers and switch without rewriting integrations using a single OpenAI-compatible API. Chats are encrypted via AES-GCM, and companies get access to contracts, invoices, EDI, admin panels, and limits. Developers will find it useful for analyzing unfamiliar code, refactoring, and debugging complex logic; analysts for multi-step calculations and hypothesis testing; engineers for running large task sets via API; and product teams for technical specifications and documentation where precise wording is critical.Frequently asked questions about GPT 5 Pro 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.
This is an OpenAI text model with reasoning capabilities: it accepts text, images, and documents, and calls functions. A 400,000-token context allows for analyzing voluminous reports, codebases, and research. The 'batch' suffix indicates batch mode — convenient when you need to process many similar requests at once.
The output limit is up to 128,000 tokens per response. This is enough for a large technical document, detailed code analysis, a long analytical note, or a series of related sections that previously had to be generated in parts and manually stitched together.
Yes, reasoning mode is supported: the model first builds a solution path and then provides an answer. This is noticeable in math, logic, STEM tasks, and code debugging, where it is important to verify intermediate steps rather than guessing the result immediately.
Yes, the model supports function calling and structured JSON output. This is the foundation for agents, pipelines, and integrations with your services. BotHub provides a single OpenAI-compatible API, so you can switch to another model without rewriting code.
In addition to text, the model accepts images and documents as input: screenshots, diagrams, charts, PDFs, and other files can be analyzed directly in the chat. If you need to work with audio or video, specialized models are available nearby in BotHub — switching is done in the same window.
OpenAI's GPT family models are traditionally strong in multilingual tasks and handle Russian texts confidently. However, an objective assessment can only be made by testing with your own materials: upload a sample document or task and compare the result with other models in BotHub.