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Model details
o3 (OpenAI)
OpenAI's o3 belongs to the company's "o" series of reasoning models, a lineage explicitly engineered for complex analytical work rather than rapid chat-style responses. The defining design choice is that o3 spends more compute on internal step-by-step analysis, a behavior the source material describes as "thinking longer," which lets it decompose difficult problems before producing a final answer. This positions o3 as a stronger fit for workflows where careful, deliberate reasoning matters more than latency, including research assistance, code planning, math problem solving, and scientific question answering where precision is paramount.
As a member of the reasoning-focused "o" family, o3 is best understood as OpenAI's response to growing demand for models that prioritize correctness on hard problems over quick replies. Early commentary framed the model as a notable step forward in AI capability, particularly for tasks that blend logic, programming, mathematics, and scientific analysis. For practitioners, that translates into a practical recommendation: reach for o3 when a task is multi-step, ambiguous, or stakes-sensitive, and where the extra deliberation cycle can meaningfully raise answer quality.
Quick Info
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- LLM Gateway
- 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
- Output tokens
- 100,000 tokens
- Context window
- 200,000 tokens
Transparent token rates
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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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