When was o1-mini released?

o1-mini was released by OpenAI on Thursday, Sep 12 2024.

o1-mini was built by OpenAI. Creators of ChatGPT and the GPT series of models. Pioneered large-scale language model research.

How much does o1-mini cost?

o1-mini costs $1.10 per million input tokens and $4.40 per million output tokens through the OpenAI API. Cached input is $0.55 per million tokens. Rates are pay-as-you-go API prices verified against OpenAI's published pricing on August 18, 2026.

What benchmark scores did o1-mini get?

o1-mini reports 1 tracked benchmark score — GPQA Diamond: 60%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data.

What is the context window of o1-mini?

o1-mini has a context window of 128k. That is the maximum amount of input plus output the model can hold in a single request.

Is o1-mini open source?

No. o1-mini is a closed model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.

What came before and after o1-mini?

OpenAI's previous tracked release was o1-preview on Sep 12 2024. It was followed by o1 on Dec 5 2024.

o1-mini

Released Sep 12 2024

o1-mini is an AI model released by OpenAI on Thursday, Sep 12 2024, the same day as o1-preview. It has a 128k token context window. Benchmark results (shown below) cover GPQA Diamond.

API pricing

Input: $1.10
Cached input: $0.55
Output: $4.40

Reasoning or thinking is supported.

USD per 1M tokens

Benchmarks

GPQA Diamond

60%

#53 of 61

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o1-mini

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Frequently asked questions

: o1-mini was released by OpenAI on Thursday, Sep 12 2024.
: o1-mini was built by OpenAI. Creators of ChatGPT and the GPT series of models. Pioneered large-scale language model research.
: o1-mini costs $1.10 per million input tokens and $4.40 per million output tokens through the OpenAI API. Cached input is $0.55 per million tokens. Rates are pay-as-you-go API prices verified against OpenAI's published pricing on August 18, 2026.
: o1-mini reports 1 tracked benchmark score — GPQA Diamond: 60%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data.
: o1-mini has a context window of 128k. That is the maximum amount of input plus output the model can hold in a single request.
: No. o1-mini is a closed model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.
: OpenAI's previous tracked release was o1-preview on Sep 12 2024. It was followed by o1 on Dec 5 2024.