biology

OpenAI o3

OpenAI o3 is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand OpenAI o3 rather than just read about it. In short: OpenAI o3 is a generative pre-trained transformer (GPT) model developed by OpenAI as a successor to OpenAI o1 for ChatGPT. It is designed to devote additional deliberation time when addressing questions that require step-by-step logical reasoning.

Key takeaways

OpenAI o3 belongs to biology; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect OpenAI o3 to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of OpenAI o3 from memory before moving on to harder problems.

Reference excerpt

OpenAI o3 is a generative pre-trained transformer (GPT) model developed by OpenAI as a successor to OpenAI o1 for ChatGPT. It is designed to devote additional deliberation time when addressing questions that require step-by-step logical reasoning. On January 31, 2025, OpenAI released a smaller model, o3-mini, followed on April 16 by o3 and o4-mini.

History The OpenAI o3 model was announced on December 20, 2024. It was called "o3" rather than "o2" to avoid trademark conflict with the mobile carrier brand named O2. OpenAI invited safety and security researchers to apply for early access of these models until January 10, 2025. Similarly to o1, there are two different models: o3 and o3-mini. On January 31, 2025, OpenAI released o3-mini to all ChatGPT users (including free-tier) and some API users. OpenAI describes o3-mini as a "specialized alternative" to o1 for "technical domains requiring precision and speed". o3-mini features three reasoning effort levels: low, medium and high. The free version uses medium. The variant using more compute is called o3-mini-high, and is available to paid subscribers. Subscribers to ChatGPT's Pro tier have unlimited access to both o3-mini and o3-mini-high. On February 2, OpenAI launched OpenAI Deep Research, a ChatGPT service using a version of o3 that makes comprehensive reports within 5 to 30 minutes, based on web searches. On February 6, in response to pressure from rivals like DeepSeek R1, OpenAI announced an update aimed at enhancing the transparency of the thought process in its o3-mini model. On February 12, OpenAI further increased rate limits for o3-mini-high to 50 requests per day (from 50 requests per week) for ChatGPT Plus subscribers, and implemented file/image upload support. On April 16, 2025, OpenAI released o3 and o4-mini, a successor of o3-mini. On June 10, OpenAI released o3-pro, which the company claims is its most capable model yet. OpenAI stated: "We recommend using it for challenging questions where reliability matters more than speed, and waiting a few minutes is worth the tradeoff". On May 28, 2026, OpenAI announced that o3 would be retired from ChatGPT on August 26, 2026, following a 90-day sunset period. The company stated that the change applied only to ChatGPT and did not affect the API.

Capabilities Reinforcement learning was used to teach o3 to "think" before generating answers, using what OpenAI refers to as a "private chain of thought". This approach enables the model to plan ahead and reason through tasks, performing a series of intermediate reasoning steps to assist in solving the problem, at the cost of additional computing power and increased latency of responses. o3 demonstrates significantly better performance than o1 on complex tasks, including coding, mathematics, and science. OpenAI reported that o3 achieved a score of 87.7% on the GPQA Diamond benchmark, which contains expert-level science questions not publicly available online. On SWE-bench Verified, a software engineering benchmark assessing the ability to solve real GitHub issues, o3 scored 71.7%, compared to 48.9% for o1. On Codeforces, o3 reached an Elo score of 2727, whereas o1 scored 1891. On the Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) benchmark, which evaluates an AI's ability to handle new logical and skill acquisition problems, o3 attained three times the accuracy of o1.

See also Reasoning model List of large language models

References

External links Introducing OpenAI o3 and o4-mini O3 is 80% cheaper and introducing o3-pro

Illustrations

Worked examples

Example 1 — a first encounter with OpenAI o3

Start with the simplest possible case. Write down what OpenAI o3 claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to OpenAI o3 before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about OpenAI o3 ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of OpenAI o3

In research: OpenAI o3 appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses OpenAI o3 in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: OpenAI o3 is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2024 software, 2025 in artificial intelligence, ChatGPT, so understanding it makes those chapters shorter.
In everyday life: Look for OpenAI o3 outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study OpenAI o3 in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what OpenAI o3 means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain OpenAI o3 out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is OpenAI o3 in simple terms?

Why does OpenAI o3 matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study OpenAI o3?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on OpenAI o3.