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Model details

OpenAI: o3 Mini High

OpenAI o3 Mini High is a specialized configuration within the o3-mini family, designed specifically to handle demanding computational tasks that require deep analytical rigor. By allocating additional computational resources to each query, the model prioritizes thoroughness and accuracy over raw response speed. This architecture makes it a powerful tool for professionals and researchers in fields such as mathematics, software engineering, and scientific inquiry, where step-by-step reasoning is essential for solving complex problems or verifying intricate proofs.

Built upon the foundation of the o3-mini model, this variant leverages adjustable reasoning effort levels to provide enhanced performance on challenging benchmarks. It supports advanced developer features like function calling and structured outputs, allowing for seamless integration into technical workflows. By trading off latency for increased precision, the model demonstrates significant improvements in error reduction compared to earlier iterations. Its design is well-suited for users who need reliable, computation-aware reasoning for multi-step tasks, ensuring that complex queries are met with high-quality, relevant insights.

Kilo Gatewayopenai/o3-mini-higho

Quick Info

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Provider
Kilo Gateway
Model key
openai/o3-mini-high
Release date
Feb 12, 2025
Last updated
Feb 12, 2025
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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