OpenAI o3 Pro: The Pro Model That Might Change Everything

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently better answers.

o3-pro is available in the Responses API only to enable support for multi-turn model interactions before responding to API requests, and other advanced API features in the future. Since o3-pro is designed to tackle tough problems, some requests may take several minutes to finish. To avoid timeouts, try using background mode.

Context

Yesterday, OpenAI launched their latest model: o3 Pro

And while the naming system continues to get more confusing, let’s break down what “Pro” actually means

“Pro” models are designed for quality and precision. They prioritize accuracy over speed, unlike “Mini” models, which do the opposite. That extra precision usually comes with a hefty price tag

But here’s where o3 Pro disrupts the pattern

It’s 80% cheaper than its predecessor, o1 Pro

And it’s not just cheaper — it’s more advanced

o3 Pro is like o1 Pro on steroids. It can call tools like MPCs and others that significantly extend its capabilities

Take this example from Raindrop

They fed o3 Pro all their planning meetings and goals, and asked it to create a strategy. Here’s what they said

“We were blown away; it spit out the exact kind of concrete plan and analysis I’ve always wanted an LLM to create, complete with target metrics, timelines, what to prioritize, and strict instructions on what to absolutely cut”

“The plan o3 gave us was plausible and reasonable. But the plan o3 Pro gave us? It was specific and grounded enough that it actually changed how we are thinking about our future”

At DG42, we’ll start experimenting with it right away and we’re excited to see what we can build

So what’s your take on OpenAI o3 Pro? Game changer or overhyped?