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o3-mini

The o3-mini model is designed as a compact, high-efficiency reasoning engine that excels at breaking down intricate problems into manageable parts. By focusing on STEM-heavy domains, it provides specialized strength in science, mathematics, and programming tasks. The architecture is built to balance speed with depth, allowing users to adjust reasoning effort levels to suit specific needs, whether that means prioritizing rapid responses or dedicating more computational focus to challenging, multi-step logical puzzles.

The development of this model involved collaborative research efforts, including contributions from PhD-level experts to refine its reasoning capabilities. This lineage results in a model that is production-ready, supporting essential developer features like function calling and structured outputs. By offering a flexible, cost-effective alternative for complex reasoning, it serves as a practical tool for developers who require reliable, high-quality logic without the overhead of larger, more resource-intensive systems.

DevPass (LLM Gateway)o3-minio-mini

Quick Info

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Provider
DevPass (LLM Gateway)
Model key
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 o3-mini

LLM Gateway

CoverageRelease Notes

Anthropic Claude 3.7 Sonnet, Claude 3.5 Sonnet, OpenAI o3-mini, and Google Gemini Flash 2.0 are now generally available in GitHub Copilot.

LLM Gateway

CoverageRelease Notes

Discover the integration of OpenAI's O3 Mini model into ChatBotKit, offering advanced reasoning capabilities and essential developer features. Enhance your applications with seamless model interoperation for a versatile AI experience.

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