AI Catchup

OpenAI Introduces LifeVal, a Benchmark for Everyday AI Tasks

By 2 min read

OpenAI introduced LifeVal on November 2, 2026, an evaluation of how well AI models help with everyday personal-assistant tasks. Its task areas were shaped by a survey of 3,995 respondents, and OpenAI reports unweighted average-reward scores of 49.3% for GPT-5.2 and 80.6% for GPT-6 Astra.

OpenAI introduced LifeVal on November 2, 2026, an evaluation of whether AI models can help people complete practical everyday tasks rather than only answer questions in a chat. Its examples include finding childcare, preparing for school, managing government paperwork, and planning meals. (OpenAI's LifeVal announcement; OpenAI on X)

The evaluation focuses on areas where people say they want help from a personal assistant: caregiving, health, education, household administration, personal finances, shopping, and accessing government services. OpenAI says it used LifeVal to track and drive improvement on everyday tasks over the past year. (OpenAI)

How OpenAI Built LifeVal

OpenAI says it started with the American Time Use Survey and the Multinational Time Use Study, which track how people spend their time in the United States and internationally. The company then added a demographically representative survey of 3,995 respondents to identify the tasks where people most wanted help from a personal assistant. (OpenAI)

The resulting task areas range from caregiving and health to household administration, personal finance, shopping, and government services. That makes LifeVal different from a benchmark limited to knowledge questions: the examples involve work such as comparing childcare options, organizing flood-preparation volunteers, or preparing a care plan. (OpenAI)

Results OpenAI Reports

OpenAI's chart reports an unweighted average reward score for each model release. It lists GPT-5.2 at 49.3%, GPT-5.4 at 73.0%, GPT-5.5 at 77.4%, GPT-5.6 at 80.0%, and GPT-6 Astra at 80.6%. OpenAI reports these results from LifeVal, its evaluation of everyday tasks. (OpenAI)

OpenAI's example cards show a kindergarten search at 93.1%, a flood-preparation volunteer plan at 98.0%, and a meal plan for a parent adjusting to a diabetes diagnosis at 90.4%. (OpenAI)

How to Read the Results

OpenAI says it used LifeVal to track and drive model improvement over the past year, with work on browser use, computer use, and connector tasks. It reports these scores on an evaluation the company says it built. (OpenAI)

For teams evaluating personal assistants, the benchmark points to workflows that go beyond chat responses and into everyday tasks. Its headline chart gives one measure across successive model releases, while the individual examples show specific workflows; neither should be read as a guarantee that another model or a different workflow will receive the same score. (OpenAI)

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Frequently Asked Questions

What is OpenAI LifeVal?

LifeVal is OpenAI's evaluation of how well AI models can help with practical everyday tasks, including caregiving, health, education, household administration, personal finances, shopping, and government services.

How did OpenAI build LifeVal?

OpenAI says it used two time-use studies and a new demographically representative survey of 3,995 respondents to identify tasks where people most wanted help from a personal assistant.

What scores did OpenAI report?

OpenAI's chart lists unweighted average-reward scores of 49.3% for GPT-5.2, 73.0% for GPT-5.4, 77.4% for GPT-5.5, 80.0% for GPT-5.6, and 80.6% for GPT-6 Astra.

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