OpenAI o3

OpenAI's advanced reasoning model for complex, multi-step problem solving

4.0 (4)

Geprüft von Daniel Nikulshyn·Aktualisiert Mai 2026

Übersicht

OpenAI o3 is a frontier reasoning model designed to tackle problems that require careful, step-by-step thinking. It builds on the o-series approach of spending more compute at inference time to plan, verify, and refine answers, making it well-suited for tasks in mathematics, coding, science, and logical analysis. Compared to general-purpose chat models, o3 emphasizes depth over speed. It can break down ambiguous prompts, evaluate multiple approaches, and produce more reliable outputs on benchmarks that stress reasoning and tool use. Developers can access it through the OpenAI API and ChatGPT, where it integrates with tools like web browsing, Python, and file analysis. The model is aimed at researchers, engineers, and power users who need stronger accuracy on hard problems and are willing to trade some latency and cost for higher-quality results.

Hauptfunktionen

Extended chain-of-thought reasoning
Tool use including code, web, and file inputs
Large context window for long documents
API and ChatGPT availability
Improved accuracy on STEM benchmarks
Supports complex agentic workflows

Pro & Contra

Pro

Strong performance on math, coding, and science benchmarks
Handles multi-step and ambiguous problems well
Integrates with tools like code execution and browsing
Useful for research, analysis, and technical workflows

Contra

Slower responses than standard chat models
Higher cost per token for heavy reasoning use
Overkill for simple, everyday queries
Can still hallucinate on edge cases

Bewertungen

4.0

Durchschnitt aus 4 Bewertungen.

Melde dich an, um eine Bewertung abzugeben.

Grace Okafor

Years in this space

I've evaluated a lot of these over the years. What stands out here is supports complex agentic workflows — handled better than most — and handles multi-step and ambiguous problems well. Higher cost per token for heavy reasoning use is my one real gripe. Worth the time if this is your use case.

Kwame Mensah

Years in this space

I've evaluated a lot of these over the years. What stands out here is aPI and ChatGPT availability — handled better than most — and handles multi-step and ambiguous problems well. Higher cost per token for heavy reasoning use is my one real gripe. Worth the time if this is your use case.

Daniel Schmidt

Use it every day

Honestly didn't expect to like it this much. API and ChatGPT availability is exactly what I needed, and strong performance on math, coding, and science benchmarks. I do wish overkill for simple, everyday queries, but I reach for it almost every day now and it just clicks.

Camille Laurent

Compared a few options

Evaluated this against two competitors. Where it wins: supports complex agentic workflows and strong performance on math, coding, and science benchmarks. Where it lags: can still hallucinate on edge cases. On balance the feature set — especially tool use including code, web, and file inputs — justifies the 4 stars for our use case.

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