GPT-4o Long Output Model - OpenAI's latest ultra-long output model
The GPT-4o Long Output model is OpenAI's latest ultra-long output AI model, supporting text output of up to 64k tokens, equivalent to approximately 200 pages of a novel. Compared to the original GPT-4o model, its output capability is improved by 16 times, but...
What is the GPT-4o Long Output model?
The GPT-4o Long Output model is OpenAI's latest ultra-long output AI model, supporting text output of up to 64k tokens, equivalent to approximately 200 pages of a novel. Compared to the original GPT-4o model, its output capability is increased by 16 times, while the input limit is reduced to 64k tokens, meeting users' needs for processing longer texts. The model is priced at $6 per million input tokens and $18 per million output tokens. The GPT-4o Long Output model is a test model, and testing will continue for several weeks; it is named GPT-4o-64k-Output-Alpha.
The core features of the GPT-4o Long Output model
- Extremely long output capabilityIt supports output of up to 64k tokens, which is 16 times that of the original model, and can generate longer and more complex text content.
- Input vs. Output Trade-offsUsers can input a maximum of 64k tokens to obtain a maximum of 64k tokens in output. A choice must be made between the input and output lengths.
- High-cost pricingThe price is $6 per million input tokens and $18 per million output tokens, reflecting the computational cost of long outputs.
- Explore new use casesOpenAI hopes that this model will help users explore more innovative application scenarios, such as long-form script creation.
- Maximum Context LimitationDespite the enhanced output capabilities, the maximum context length remains the same as GPT-4o, at 128k tokens.
Application scenarios of GPT-4o Long Output model
- Long-form content creationGenerate long stories, novels, scripts, etc., providing creative material for movies, TV series, or video games.
- Academic paper writingIt assists researchers in writing detailed research reports and academic papers, and in integrating large amounts of data and literature.
- Technical Documentation WritingIt helps software developers and engineers write technical manuals, API documentation, software guides, etc.
- Market Analysis ReportProvides business analysts with in-depth market analysis, trend forecasts, and business strategy recommendations.
- Educational materials development: To assist educators in creating course content, teaching plans, and learning materials.