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OpenAI o3/o4-mini Guide

First series of models with the ability to deduce the image-lined chain

What's o3 with o4-mini?

OpenAI released the latest model of reasoning on April 17, 2025 o3 and o4-mini 。 This is the first in the series to have Image Chain of Thought The capable product represents a key step for AI from a simple “image description” to a deep “image understanding and logical reasoning”. AI Not only can you see pictures, but you can also think and analyse their content in multiple steps before responding.

♪ The core breach: ♪ Traditional visual models can only describe objects in pictures, while o3/o4-mini Complex mathematical charts can be analysed, vague handwritten notes identified, and even a code screenshot can identify the logical gaps and provide recommendations for repair.
• Overview of core competencies

♪ The visual thought chain ♪

The first-time visualization of Chain of Thought allows deep extrapolation of geometric graphics, functional images and complex document structures.

♪ The power of code ♪

The SWE-bench score is high in terms of the full-scale over-scrutinizing of the o1 ex-generative model in mathematical, programming and scientific exploration missions.

🔧 Tool calls on its own

Native Support Tool Call (Tool Use) allows the use of web search, Python, as an autonomous combination of intelligent bodies Environment and image generation.

🖥️ Codex CLI

Synchronizes the official terminal tool that supports direct interaction with o3 models in command lines, and supports photo upload and real-time code generation.

Model series comparison
o3 (flagship) The strongest reasoning.

OpenAI The most intelligent model to date is close to the ability to deduce from the “genius level”. Supports full image thought chain reasoning and complex tools for call.

Top of the line. The ability to reason.
Full Support COT Image
Smart Level Use of tools
Pro Exclusive Access Rights
o4-mini (high efficiency) Low delay/low cost

To respond quickly to the optimized version, the ability to maintain strong reasoning while significantly reducing delays and costs. Fits to the medium-complexity task of day-to-day.

Speed Response speed
Support COT Image
Low-cost. API Cost
All of them. Free experience.
💻Codex CLI fast-start

Codex CLI is the official OpenAI terminal programming assistant who can directly call O3's reasoning capacity in the terminal:

bash 
# Ann.装 Codex CLI
npm install -g @openai/codex-cli

# Use o3 ModelGenerate Code
codex "Use Python AchievedOne.SupportandLet's go.It's...HighSexYes.NetworkThe reptiles."

# UploadCode截图In.Okay.Analysis
codex --image ./error_screenshot.png "AnalysisHere.ParagraphCodeIt's... bug and给Out修复Programme"

# EnterInteractive式聊Oh, my God.Mode
codex chat --model o3
Image Thinking Chain Core technology breakthrough
o3 Flagship Logic Model
o4-mini Efficient Low Delay Model
Codex CLI Terminal Programming Assistant

Depth resolution: How does the "image think chain" of o3/o4-mini" change the AI interactive paradigm?

In the past, AI's processing of images has been largely confined to Identification and Tag Phase. You upload a map, AI tells you what's in the chart. But... OpenAI o3 The "Image Thinking Chain" reasoning that brought AI into the system. Analysis and Extrospect The times. That means AI. It is possible to observe the details of the pictures, as human experts do, then to make a logical in-house extrapolation and finally to draw conclusions.

Perfect integration of vision and logic: more than “seeing”

Traditional visual models (e.g., GPT-4o often presents a coordination error or a logical fault when faced with complex mathematical charts or geometry. And o3 The image-thinking chain generates a descriptive reasoning process inside the picture: "First, I see the origin of the coordinates in A." Point, the bottom length of the triangle is 5... Secondly, according to the Quoting Theorem...” This step-by-step process of thinking has significantly improved the accuracy of handling complex visual tasks.

2. Addressing specific issues: o3/o4-mini ' s field of action

  • Mathematical chart analysis: The node, slope, or even the known conditions from the blurry handwritten geometry operation, can be identified and the deprogramming steps given.
  • Manual document digitization: The traditional OCR, o3 understands the context of a handwritten text, even if the handwriting is extremely scrawling, and it can be accurately restored in the context.
  • Code transcribing: Developer sends error and code intercepts directly to bug-checking bugs o3, it can locate the specific line number of the code through the misinforming information in the "thinking" picture.

3. Tool calls: build real AI agents (Agent)

o3 Increased primary support for tools to be deployed. This means that when it handles a mission, it automatically calls for a web search if it finds that real-time data are required; If you need to calculate complex maths, it's automatically open. Python sandbox. This autonomy is at the heart of building the next generation of automated AI workflows.

4. Future prospects for o3-pro

OpenAI also revealed the upcoming launch. o3-pro Version. The version will support more complete tool functionality and longer reflection time, providing unprecedented computing support for scientific research, pharmaceutical and complex engineering designs that require “genius” intelligence.

Thousands will continue to track each of OpenAI's models. In this time of AI, with visual thinking, mastery. o3, which is to capture the core productivity of human interaction over the next decade.