GPT Chat Latest
Neural Network
GPT Chat Latest is a stable OpenAI alias that always points to the current ChatGPT chat model.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 400 000 tokens
- Max answer length
- 128 000 tokens
- Capabilities
- function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT Chat Latest?
GPT Chat Latest is a stable OpenAI pointer to the Instant family model currently running in ChatGPT. When OpenAI updates this line, requests automatically route to the latest version: no need to change model names in code or track releases. Ideal for those needing a fast conversational assistant without manually selecting specific revisions. In BotHub, the model is accessible from Russia without a VPN or foreign card, and you pay per token—no subscription, and unused tokens don't expire. With over 250 neural networks in the same window, it's easy to compare GPT Chat Latest's response with other models, and the unified OpenAI-compatible API allows switching between them without rewriting integrations. Chats are encrypted, and for companies, we offer contracts, invoices, electronic document management, and an admin panel with limits. Simple scenarios: daily correspondence and Q&A, drafting emails and posts, summarizing long materials, brainstorming ideas and phrasing, or embedding a chat assistant in your product via API.Frequently asked questions about GPT Chat Latest
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.
gpt-chat-latest is an OpenAI text model: it writes and edits text, helps with code, analyzes documents and images, and answers questions about large materials. A context window of up to 400,000 tokens allows you to keep large files, correspondence, and technical documentation in a single dialogue.
The maximum length of a single response is up to 128,000 tokens. This is enough for a detailed analysis, a long article, a large code snippet, or a detailed translation. If the task is larger, break it into parts and assemble the result step-by-step in one dialogue.
There is no specific mention of a reasoning mode in our data, so we cannot promise it. However, the model confidently handles multi-step tasks if you explicitly ask it in the prompt to break down the solution step-by-step and show intermediate conclusions.
Yes, function calling and structured JSON output are supported. The model can access your tools, retrieve data from external services, and return responses in a specified schema. This is convenient for agents, automation, and integration via BotHub's unified OpenAI-compatible API.
Images and documents — yes: the model analyzes screenshots, diagrams, photos, PDFs, and other files and answers based on their content. Audio and video are not noted in our data, so for such tasks, it is more convenient to switch to a specialized model in the same window.
OpenAI models in this line work confidently with Russian: they grasp complex phrasing, terminology, and the context of long conversations. There are no separate language benchmarks in our data, so the most reliable way is to test the model on your typical tasks in BotHub.