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OpenAI LifeVal: What Its 80.6% Score Says About Everyday AI Tasks
OpenAI says GPT 6 Astra scored 80.6% on LifeVal, its evaluation of everyday tasks, compared with 49.3% for GPT 5.2. LifeVal’s task areas draw on time use research and a survey of 3,995 people, but the reported scores come from OpenAI and the task set has not been published, limiting independent comparison.[2][3][1]
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Key takeaways
- OpenAI says GPT 6 Astra scored 80.6% on LifeVal, its evaluation of everyday tasks, compared with 49.3% for GPT 5.2.
- LifeVal’s task areas draw on time use research and a survey of 3,995 people, but the reported scores come from OpenAI and the task set has not been published, limiting independent comparison.[2][3][1]
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openai.comCreate a landscape editorial hero image for this Studio Global article: What is OpenAI’s LifeVal benchmark, published on November 2, 2026, how does it support the company’s year-long effort to turn ChatGPT into a. Article summary: LifeVal is OpenAI’s evaluation of how well AI helps people complete everyday responsibilities, published on November 2, 2026—not merely how well it answers questions.[1][2] OpenAI says it used the evaluation internally o. Topic tags: general, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fa
OpenAI published LifeVal on November 2, 2026, to evaluate how well AI helps people with everyday responsibilities—not just how it answers questions. The company says it used the evaluation over the preceding year to track and improve model performance on tasks where people want help from AI and personal agents.3 Its headline result is an OpenAI-reported 80.6% unweighted average reward for GPT-6 Astra, up from 49.3% for GPT-5.2.
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That number is a benchmark score, not a promise that ChatGPT will complete 80.6% of anyone’s errands successfully. The distinction matters: LifeVal measures performance on an evaluation, while real tasks depend on the person’s circumstances and the work required.20
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What LifeVal tests
LifeVal focuses on practical tasks spanning caregiving, health, education, household administration, personal finances, shopping and government services.21 Examples in reporting include finding childcare, comparing kindergartens after a move, planning meals, managing a household budget, shopping within a budget and handling paperwork.
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The emphasis is on useful outcomes: can an AI system help make progress on a task with real-life constraints, rather than simply produce a plausible-sounding response? That makes LifeVal relevant to the broader effort to build personal assistants that can help with multistep responsibilities. But publishing an evaluation is not the same as launching a new assistant feature or showing that every benchmark task can be completed in a live user account.3
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How the tasks were developed
OpenAI says it began with two studies of how people spend their time: the American Time Use Survey and the Multinational Time Use Study. It also describes using survey responses to identify areas where people most want help from AI and personal agents.3 Reporting puts the survey at 3,995 respondents.
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Some secondary accounts also describe roughly 100 people contributing detailed tasks.24 The available information does not establish exactly how those contributors’ expertise or personal experience shaped the scoring criteria. Reporting describes the evaluation as rubric-based, but the task set and grading details are not available in the sources reviewed here.
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Reported scores: Astra leads, but the metric needs context
The published figures reported for successive OpenAI models show a large overall difference between GPT-5.2 and GPT-6 Astra, followed by smaller gains among later models.6
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| Model | Reported LifeVal score |
|---|---|
| GPT-5.2 | 49.3% |
| GPT-5.4 | 73.0% |
| GPT-5.5 | 77.4% |
| GPT-5.6 | 80.0% |
| GPT-6 Astra | 80.6% |
These figures are reported as average-reward scores, not as the percentage of tasks completed perfectly. On the reported numbers, GPT-6 Astra is 31.3 percentage points above GPT-5.2. The difference between GPT-5.4 and Astra is 7.6 points across the later models shown.5
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Some coverage rounds Astra’s result to 80%, while other reports give the more precise 80.6% unweighted average reward.1
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24 Those figures should be understood as a rounded headline and a more precise reported metric—not as separate measures of real-world success.
Selected task results are not guarantees
Reports highlight individual LifeVal examples, including a kindergarten shortlist after a move, flood-preparation volunteer coordination, meal planning after a diabetes diagnosis, a budgeted halal grocery order and booking a car inspection.20
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| Example task | Reported score |
|---|---|
| Comparing kindergartens after a move | 93.1% |
| Organizing flood-preparation volunteers | 98.0% |
| Planning meals for a parent newly diagnosed with diabetes | 90.4% |
| Ordering halal groceries within a budget | 100% |
| Booking a car inspection | 100% |
The grocery and car-inspection figures appear in secondary reporting of selected results.26
27 These task-level scores are examples from the evaluation, not evidence that an everyday user will get the same result—or that a high-scoring system will reliably handle every similar situation.
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What LifeVal’s results can—and cannot—show
LifeVal offers a way to track progress on everyday-assistant tasks over time, an area that conventional knowledge or reasoning tests may not capture directly. OpenAI says it used the evaluation internally over the previous year to help drive improvement.3
The main limitation is independent verification. The reported results come from the company evaluating its own models, and reporting says the task set has not been published. Without access to the tasks and comparable results from other labs, outsiders have limited ability to reproduce the scores or assess how the benchmark compares across competing systems.1
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LifeVal is also distinct in focus from OpenAI’s earlier GDPVal evaluation, which measures model performance on economically valuable real-world tasks across 44 occupations.35 In broad terms, LifeVal is about everyday personal responsibilities; GDPVal is about work tasks. The available sources do not establish a more detailed relationship between the two evaluations.
The clearest takeaway is that OpenAI is measuring AI against a more practical target: helping with everyday life. The reported scores suggest substantial improvement on LifeVal across OpenAI’s models, but they do not by themselves establish how often an assistant will successfully complete chores for people outside the benchmark.
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OpenAI says GPT 6 Astra scored 80.6% on LifeVal, its evaluation of everyday tasks, compared with 49.3% for GPT 5.2.
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OpenAI says GPT 6 Astra scored 80.6% on LifeVal, its evaluation of everyday tasks, compared with 49.3% for GPT 5.2. LifeVal’s task areas draw on time use research and a survey of 3,995 people, but the reported scores come from OpenAI and the task set has not been published, limiting independent comparison.[2][3][1]
Sources
openai.comLifeVal
cellcog.aiOpenAI LifeVal: GPT-6 Astra Hits 80.6% on Everyday Tasks
digg.comOpenAI introduces LifeVal to measure AI performance on everyday tasks
nageshpolu.comOpenAI LifeVal Tests Everyday AI Agents: Why High Scores Are Not Finished Tasks
apidog.comWhat Is OpenAI LifeVal? The Everyday-Task Benchmark