OpenAI API guide demonstrates gpt-4o call, returning 'Late 2024‑early 2025
Here's the thing: a new OpenAI API guide walks you through a live call to the gpt‑4o endpoint, complete with the exact Python snippet you’d paste into a notebook. The example builds a simple message list, then fires off client.chat.completions.create(model="gpt-4o", messages=messages). When you run it, the model spits back a short string that mentions a forthcoming “o‑series” and pins its rollout to “Late 2024 and early 2025.” Those o‑series models—o1, o1‑mini and o3‑mini—are billed as “reasoning models,” a label that hints at a different focus than the chat‑centric versions we’ve seen so far.
While the code itself is straightforward, the response raises a practical question for developers: how soon will these reasoning‑focused variants be usable via the same API? The answer, tucked into the model’s own output, is what the following excerpt reveals.
" "What is the order?"} ] response = client.chat.completions.create( model="gpt-4o", messages=messages ) print("Logic Solution:", response.choices[0].message.content) Output: Late 2024 and early 2025 OpenAI announced the o-series (o1, o1-mini and o3-mini). These are "reasoning models." They do not answer immediately but take time to think and devise a strategy unlike the normal GPT models. This renders them math, science, and difficult coding superior.
o1 and o3-mini Highlights: Use o3-mini for a math problem where step-by-step verification is crucial. Explain steps."}] ) print("Reasoning Output:", response.choices[0].message.content) Output: Both GPT-5 and its optimized version GPT-5.1, which was released in mid-2025, combined the pace and logic. GPT-5 provides built-in thinking, in which the model itself determines when to think and when to respond in a short time.
The version, GPT-5.1, is refined to have superior enterprise controls and less hallucinations. What sets them apart: GPT-5.1 is very good at the top level strategy which involves general knowledge and structured thinking. These applications will transform textual prompts into beautiful in-depth images.
Does the API really point to a 2024‑2025 horizon? The short snippet in the guide prints exactly that phrase after a gpt‑4o request, suggesting the model itself surfaces a timeline. Yet the article does not explain whether the date marks a release window, a training cutoff, or something else.
OpenAI’s recent announcement of the o‑series—o1, o1‑mini and o3‑mini—positions these as reasoning‑focused models, distinct from the speed‑oriented and multimodal options listed elsewhere. ChatGPT continues to rely on GPT‑5.1, while developers can choose from a menu that includes image and audio specializations. The guide walks readers through each offering, but it leaves open how the newer o‑models will integrate with existing pricing or latency expectations.
Unclear whether “Late 2024‑early 2025” signals a broader rollout plan for the o‑series or merely an artifact of the example code. Until OpenAI provides context, the practical impact of that timestamp remains ambiguous. Overall, the piece serves as a quick reference for selecting the appropriate model, though it stops short of detailing performance trade‑offs.
Further Reading
- GPT-4o API Tutorial: Getting Started with OpenAI's API - DataCamp
- GPT-4o Model - OpenAI
- API Reference – OpenAI Platform (with GPT-4o code examples) - OpenAI
- GPT-4o Multimodal Image API: The Ultimate Guide for 2025 - Cursor IDE Blog
- Complete Guide to the OpenAI API 2025 - Zuplo Learning Center
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Common Questions Answered
What does the OpenAI API guide demonstrate when calling the gpt-4o endpoint?
The guide shows a live Python snippet that builds a message list and calls client.chat.completions.create(model="gpt-4o", messages=messages). When executed, the model returns a short string mentioning the upcoming “o‑series” and a rollout window of “Late 2024 and early 2025.”
Which models are included in the announced o‑series and how are they described?
The o‑series consists of o1, o1‑mini, and o3‑mini, which OpenAI bills as “reasoning models.” They are said to take time to think and devise strategies, making them superior for math, science, and complex coding tasks compared to standard GPT models.
What timeline does the gpt-4o response print regarding the o‑series rollout?
The response from the gpt‑4o call prints the phrase “Late 2024 and early 2025,” indicating that OpenAI is positioning the o‑series release within that time frame. The article notes that it is unclear whether this marks a release window, a training cutoff, or another milestone.
How does the article differentiate the reasoning focus of the o‑series from other GPT model options?
According to the article, the o‑series models prioritize reasoning over speed, contrasting them with the speed‑oriented and multimodal GPT variants listed elsewhere. This reasoning emphasis is highlighted by their slower, more thoughtful response generation, which benefits tasks requiring deep logical processing.