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Model details
OpenAI o3
OpenAI o3 sits at the top of the company's o-series of reasoning models, which are trained to deliberate longer before producing a response rather than to generate fluent text reflexively. In the official April 16, 2025 announcement, o3 is presented alongside o4-mini as the smartest pair released to date, marking a step-change in capabilities for tasks that require multi-step logic, math, coding, and scientific reasoning. The same announcement describes o3 as the first reasoning model that can agentically use and combine every tool inside ChatGPT, including web search, Python-based analysis of uploaded files, visual reasoning over images, and image generation, so the model can choose when and how to call tools and typically returns a detailed answer in under a minute.
In practice, o3 is aimed at users who need a higher-trust default than a standard chat model: advanced researchers, developers working through hard algorithmic or analytical problems, and anyone whose questions span several tools or modalities. A follow-up note in the same announcement introduced o3-pro as a variant of o3 designed to think even longer for the most reliable answers, available to ChatGPT Pro users and through the API, signaling a deliberate split between fast reasoning and maximum-reliability reasoning. The combination of longer internal reasoning, tool orchestration, and the pro tier's extra deliberation makes o3 a strong fit for complex, multi-faceted workflows where correctness and structured reasoning matter more than raw response speed.
Quick Info
Powered by- Provider
- NanoGPT
- Model key
- openai/o3
- Release date
- Apr 16, 2025
- Last updated
- Apr 16, 2025
- Knowledge cutoff
- 2024-05
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $2.00
- Output token cost
- $8.00
Limits
- Input tokens
- 200,000 tokens
- Output tokens
- 100,000 tokens
- Context window
- 200,000 tokens
Transparent token rates
Compare o pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.