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Hi @bright marsh. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
Here’s the comparison based only on the provided sources (note that they cover GPT‑4o and o‑series (o3 / o4‑mini), not a model literally named “o4”):
1. Model families and purpose
- GPT‑4o (GPT family)
- General‑purpose “workhorse” model.
- Optimized for real‑time, multimodal chat (text, vision, and in many products also audio/voice). [Model‑intro matrix; Model selector]
- Best for everyday tasks, conversation, summarization, content, and many coding tasks. [When to use each model]
- o‑series (o3 / o4‑mini) – “reasoning models”
- Specialized for deep, step‑by‑step reasoning, planning, and complex decisions. [Reasoning best practices; Model evolution]
- o3: highest‑end reasoning, best for complex, multi‑step, high‑stakes tasks. [Model‑intro matrix; Model selector]
- o4‑mini: cheaper, faster reasoning model; strong in math, coding, and visual tasks, good for high‑volume use. [o3 and o4‑mini; When to use each model]
2. When to choose which
From the docs’ guidance:
- Prefer GPT‑4o when:
- You want speed + cost efficiency and tasks are relatively straightforward (chatbots, support, drafting, basic coding, summaries, everyday Q&A). [Reasoning best practices; When to use each model]
- You need real‑time multimodal interaction (vision + text, and in many products voice). [Model‑intro matrix]
- Prefer o‑series (especially o4‑mini / o3) when:
- Accuracy and reliability on complex, multi‑step problems matter more than latency or cost. [Reasoning best practices]
- You’re doing advanced math, science, engineering, detailed coding, or complex visual reasoning. [Reasoning best practices; o3 and o4‑mini]
3. How OpenAI itself summarizes the trade‑off
The official guidance is:
- GPT models (like GPT‑4o) → faster, cheaper, great for well‑defined tasks and general use.
- o‑series (o3 / o4‑mini) → “planners” that think longer and harder, better for complex reasoning and decision‑making. [Reasoning best practices; Model evolution]