Вопрос

GPT-4o
GPT-4.5
O1 & O1 Pro
O3-mini & O3-mini High
Research Models directly from OpenAI

Мысль

Clarifying research models

There are references to models like GPT-4o, GPT-4.5, o1, and o3-mini. I need to clarify the "Research Models directly from OpenAI" request, which probably refers to official definitions. This could involve distinctions between general-purpose and reasoning models. "o3-mini high" may be a ChatGPT setting to prioritize intelligence over speed.

Clarifying model selection

We have clear info about how paid users can select "o3-mini-high" in the model picker. It’s good to add details on choosing models in both ChatGPT and API endpoints. I also found mentions of GPT-5, though the user didn’t ask about it. Including it might provide helpful context but risks overshadowing the requested models.

Preparing concise model comparison

I'll stick to the user's specific models but note that GPT-5 is now the default (and still available on select models). I plan to make a concise comparison table detailing model type, features, typical use cases, reasoning style, and speed. However, pricing info is unavailable, so I’ll omit that. I'll also clarify the difference between "o1" and "o1-pro."

Summarizing model capabilities

The "o3-mini" page explains it's specialized for technical domains, with a default "medium reasoning effort," and "o3-mini-high" offers higher intelligence but slower speeds for paid users. The "GPT-4.5" page mentions it's a general-purpose model without external reasoning, and is larger in knowledge. "GPT-4o" accepts audio, image, and video inputs, with a 232-320ms response time. I'll confirm the status and

Thought for 30s

Ответ

Here’s a quick, official cheat-sheet of what each model is for and how they differ—pulled straight from OpenAI’s own docs/posts.

GPT-4o

What it is: “Omni” flagship built for natural, real-time interaction; natively multimodal in ChatGPT (text, audio, image/video in; text/audio/image out). (OpenAI)
API note: In the current API docs, GPT-4o supports text + image inputs and text outputs (incl. Structured Outputs). (OpenAI Platform)
When to use: General assistant, chat UX, voice or camera experiences, and now built-in image generation (“4o Image Generation”). (OpenAI)

GPT-4.5

What it is: A larger, more knowledgeable general-purpose model. Unlike the o-series, it doesn’t “think before responding” (i.e., no extended internal reasoning step). Released as a research preview with a system card. (OpenAI)
When to use: Broad knowledge tasks where you want a strong, fast generalist rather than a heavy reasoning model. (OpenAI)

OpenAI o1 & o1-pro (Reasoning models)

What they are: The first “o-series” models trained (via RL) to think before answering—they spend more compute time to reason through complex problems. (OpenAI)
o1-pro vs o1: o1-pro uses more compute to “think harder” and give more consistently strong answers; it’s available in the Responses API to support multi-turn internal reasoning before replying. (OpenAI Platform)
When to use: Hard STEM problems, multi-step planning, tricky coding/math where step-by-step reasoning helps. (OpenAI)

OpenAI o3-mini & o3-mini-high

What it is: A smaller/faster reasoning model optimized for technical domains needing precision + speed. In ChatGPT it defaults to medium reasoning effort; paid users can pick o3-mini-high for higher intelligence (slower). (OpenAI)
Docs: o3-mini adds developer features like Structured Outputs, function calling, Batch API. (OpenAI Platform)
When to use: Technical Q&A, constrained-latency coding/math/science tasks where you still want strong reasoning. (OpenAI)

(Context) Newer o-series releases

OpenAI later introduced o3 (and o4-mini), reasoning models with full tool use in ChatGPT (browsing, Python, images, automations, etc.). If you see these in your picker, they’re the “think-longer” successors. (OpenAI)

How to choose quickly

Everyday chat & multimodal UX / voice / images: GPT-4o. (OpenAI)
Strong generalist without heavy reasoning: GPT-4.5. (OpenAI)
Tough reasoning (math, code, science): o1 → o1-pro if you want the model to think longer/more consistently. (OpenAI)
Reasoning + speed/efficiency: o3-mini (and pick o3-mini-high in ChatGPT if you can tolerate extra latency for higher IQ). (OpenAI)

If you tell me your use case (chat app, data analysis, coding assistant, voice agent, etc.), I’ll map it to the best model + API setup.

GPT-4o GPT-4.5 O1 & O1 Pro O3-mini & O3-mini High ...