# o1-mini

o1-mini is an AI model released by OpenAI on Sep 12 2024. It has a 128k context window. At release it scored 60% on GPQA Diamond.

## Facts

| Field | Value |
| --- | --- |
| Model | o1-mini |
| Developer | OpenAI |
| Release date | Thursday, Sep 12 2024 |
| Licensing | Proprietary |
| Context window | 128k |

## API pricing

All rates in USD per 1,000,000 tokens, pay-as-you-go.

| Tier | Input | Cached input | Output |
| --- | --- | --- | --- |
| All documented contexts | $1.10 | $0.55 | $4.40 |

Verified August 18, 2026 against the first-party source: https://developers.openai.com/api/docs/models/o1-mini

## Benchmark scores published at release

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| GPQA Diamond | 60% | Lab | Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. |

## Questions and answers

### When was o1-mini released?

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

### Who made o1-mini?

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%. Scores are the figures published at release by OpenAI.

### 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 proprietary 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.


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Canonical page: https://aireleasetracker.com/model/openai/o1-mini
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Benchmark scores are the figures published by the releasing lab at launch.