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Model details

OpenAI o3 mini

o3-mini is a purpose-built reasoning model within the o3 family that brings advanced chain-of-thought capabilities to developers who need strong performance on complex tasks without the cost overhead of larger models. The architecture targets mathematical problem-solving, programming challenges, and scientific inquiries with specialized attention to reasoning depth. Developers can tune reasoning effort to balance quality against computational expense, creating adaptable cost-quality configurations that suit different project demands.

The o3 family lineage informs o3-mini's design, leveraging lessons from larger models to deliver sophisticated reasoning at reduced operational costs. The Developer Message role enables developers to embed custom instructions directly into the interaction flow, tailoring behavior to specific use cases. Implicit caching reduces redundant processing overhead, while tool calling and structured output expand practical applicability across different development scenarios. This combination makes o3-mini particularly well-suited for developers building applications that require methodical problem-solving, from automated code analysis to multi-step scientific reasoning pipelines.

DigitalOceanopenai-o3-minio-mini

Quick Info

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Provider
DigitalOcean
Model key
openai-o3-mini
Release date
Dec 20, 2024
Last updated
Jan 29, 2025
Knowledge cutoff
2024-05
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.10
Output token cost
$4.40

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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Latest news about OpenAI o3 mini

DigitalOcean

Coverage

OpenAI announced OpenAI o3‑mini on January 31, 2025, positioning it as the newest, most cost-efficient reasoning model in its reasoning series and making it available the same day in both ChatGPT and the API. The page emphasizes its STEM strengths in science, math, and coding while preserving the low cost and reduced l The announcement details three selectable reasoning effort options — low, medium, and high — letting developers trade latency for depth, and clarifies that o3‑mini does not support vision, so developers are directed to OpenAI o1 for visual reasoning. It also describes rollout to the Chat Completions API, Assistants API

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