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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.

LLM Gatewayopenai/o3o

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Provider
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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