Illustrative image: a hand holding a smartphone — the device through which most people would hand everyday chores to an AI assistant. LifeVal is a benchmark, not a device, so this post uses a freely licensed illustrative photo, not an OpenAI screenshot. Image: Wikimedia Commons.
TL;DR — OpenAI LifeVal benchmark explained in one line: OpenAI published LifeVal on 2 November 2026, a test that grades AI models on everyday chores — childcare, budgets, government paperwork — instead of exams or code, and its newest model GPT-6 Astra scored 80.6%, up from 49.3% for GPT-5.2 in December 2025. The catch: OpenAI built the test, ran the scoring and publishes only its own models' scores.
📌 KEY HIGHLIGHTS
- The new test: LifeVal measures whether an AI can finish ordinary-life tasks — enrolling a child in school, organising volunteers, planning meals — by browsing, using a computer and calling connectors, not just answering questions.
- The headline score: GPT-6 Astra averaged 80.6% reward, against 49.3% for GPT-5.2, 73.0% for GPT-5.4, 77.4% for GPT-5.5 and 80.0% for GPT-5.6 — a curve that has flattened near 80%.
- How the tasks were chosen: from the American Time Use Survey, the Multinational Time Use Study and a survey of 3,995 people on where they most wanted a personal assistant's help.
- The honest caveat: LifeVal is self-graded by OpenAI, the task set is not public, no rival model is scored, and an average reward is not the same as a share of real-world tasks completed.
- Why it matters here: India is now ChatGPT's largest market by weekly users, so a benchmark about everyday chores is really a benchmark about the jobs Indian users are already handing to AI.
OpenAI LifeVal benchmark explained: what happened?
On 2 November 2026, OpenAI published LifeVal, a research evaluation with a deliberately different question from most AI benchmarks. Instead of asking "can the model pass an exam or fix a bug?", LifeVal asks "can it get a normal person's chores done?" The tasks span seven areas of daily life: caregiving, health, education, household administration, personal finances, shopping and accessing government services. Each task asks the model to finish the job — comparing childcare options, booking an inspection, working through a form — using browser use, computer use and connectors, and a scenario-specific rubric scores how far it gets.
OpenAI says it built the task list from how people actually spend their time: the US Bureau of Labor Statistics' American Time Use Survey and the Multinational Time Use Study, plus a new survey of 3,995 respondents that OpenAI describes as demographically representative, asking where they most wanted a personal assistant's help. About 100 participants also recorded the specific tasks they wanted an assistant to handle. The company says it has used LifeVal internally for about a year to track and drive improvement in everyday-task performance — this week's publication is the first time it has described the test in public.
LifeVal extends an approach OpenAI already uses for work. Its GDPVal benchmark grades professional tasks; LifeVal does the same for household life, giving OpenAI a training target for personal agents that browse, use computers and act through connectors. It is not the same test as SemiAnalysis's GDPx, published the same week: GDPx grades long professional agent work (where the best model managed just 12%), while LifeVal grades everyday chores (where scores run far higher). The two numbers measure different kinds of difficulty and should never be compared directly.
The scores: GPT-6 Astra at 80.6%, and a flattening curve
OpenAI's chart plots one number per model — an unweighted average reward across LifeVal tasks — against each model's release date. The progression is steep, then flat:
| Model | Release date | LifeVal average reward |
|---|---|---|
| GPT-5.2 | 11 December 2025 | 49.3% |
| GPT-5.4 | 2026 | 73.0% |
| GPT-5.5 | 2026 | 77.4% |
| GPT-5.6 | 2026 | 80.0% |
| GPT-6 Astra | 3 September 2026 | 80.6% |
OpenAI also shows five worked examples of how "our current models" perform, without naming the model per task: 93.1% for enrolling in the right kindergarten after moving, 98.0% for managing volunteers ahead of a flood, 100% for finding a new home for a family, 96.3% for planning how to watch a game with grandma from far away, and 90.4% for preparing meals for a parent adjusting to a diabetes diagnosis. Separately, GPT-6 Astra's best recorded runs hit 100% on tasks including booking a sensory class, a car-service inspection, halal groceries and unsubscribing from email lists. Read those carefully: best recorded runs are the high end, not averages, and OpenAI does not say how many attempts each took.
Illustrative image: a person holding a smartphone. Image: Wikimedia Commons, CC BY 2.0 — not a screenshot of any single brand's phone or app.
What LifeVal does not prove
The limits are plain, and OpenAI does not hide the central one: it built LifeVal, chose the tasks and ran the scoring, and it publishes scores for its own models only. There is no public task set, no leaderboard, no dataset, code or grader link on the announcement page, and no independent verification of the numbers. Outside researchers cannot inspect the full tasks, the rubric weights, the grader calibration or the retry policy — so nobody else can reproduce an 80.6% or test a rival model on the same tasks.
Two reading errors are worth avoiding. First, an average reward of 80.6% is not "the model completes 80.6% of everyday tasks correctly in the real world" — it is a rubric-scored average across tasks with broad requirements and sometimes subjective outcomes. Second, the flattening curve cuts both ways: the jump from 49.3% to 80% happened between December 2025 and early 2026, and GPT-6 Astra adds only 0.6 points over GPT-5.6. That could be a ceiling in the models, a ceiling in the tasks, or both — OpenAI's announcement does not say. A benchmark its maker controls is a useful yardstick for that maker's progress, not a neutral industry test.
Why it matters for India readers
India is the market where this benchmark's subject matter is most alive. India became ChatGPT's largest market by weekly active users on 3 November 2026, with the weekly base doubling since January, and OpenAI's India chief has pointed to "deep use cases" — people weaving ChatGPT into work and study routines — as the driver. Everyday-task capability is exactly what that audience is buying: help with paperwork, budgets, school choices and family logistics, in Hindi and other Indian languages, on Android phones, with UPI payments attached.
Be precise about the limits of the India connection, though. LifeVal's tasks are drawn from US and international time-use studies and a survey OpenAI calls demographically representative; no India-specific task set has been disclosed, and the announcement does not say the respondents included Indian users. So LifeVal measures OpenAI's progress on everyday tasks in general — it is not evidence about how well ChatGPT handles an Indian-specific chore such as a DigiLocker form or a scheme application. Our ChatGPT India largest market explainer covers what OpenAI is actually building for Indian users, and our GDPx benchmark explainer covers the professional-tasks test published the same week.
Should you care?
✅ Verdict: Yes — if you use an AI assistant for daily life. LifeVal is the first public sign of how OpenAI grades the chores people actually hand to ChatGPT, and the 49.3% → 80.6% climb shows how fast everyday-task ability improved in under a year. ⏳ But treat the score as OpenAI's own progress report, not an independent verdict: no rival is scored, the tasks are not public, and the curve has flattened. Judge the next assistant on the chores you give it, not on its maker's benchmark.
FAQs
What is OpenAI LifeVal?
LifeVal is OpenAI's benchmark for everyday-life tasks, published on 2 November 2026. It tests whether an AI model can complete practical chores — childcare, health, education, household administration, personal finances, shopping and government services — by browsing, using a computer and calling connectors, scored against scenario-specific rubrics rather than single correct answers.
What score did GPT-6 Astra get on LifeVal?
GPT-6 Astra scored 80.6% average reward, OpenAI's chart shows, up from 49.3% for GPT-5.2 in December 2025 and 80.0% for GPT-5.6. The gain from GPT-5.6 to Astra is only 0.6 points, suggesting the curve is flattening near 80%.
Is LifeVal an independent benchmark?
No. OpenAI built LifeVal, chose the tasks, ran the scoring and publishes scores only for its own models. The task set, grading method and grader are not public, and no independent verification of the numbers has been published — so LifeVal is best read as OpenAI's own progress yardstick, not a neutral industry test.
What everyday tasks does LifeVal test?
Tasks across seven areas: caregiving, health, education, household administration, personal finances, shopping and accessing government services. Published examples include enrolling a child in the right kindergarten after moving (93.1%), managing volunteers ahead of a flood (98.0%), finding a new home (100%), watching a game with grandma from far away (96.3%) and preparing diabetes-friendly meals (90.4%).
Takeaway: OpenAI's newest test grades AI on the chores of ordinary life, and its flagship now scores 80.6% — a big climb in under a year, on a test its maker controls. The real verdict will come when someone else can run the same tasks.
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Sources
- OpenAI — LifeVal announcement (2 November 2026), openai.com (primary source; page carries no public task set or leaderboard)
- AI Weekly — "OpenAI's LifeVal scores GPT-6 Astra 80.6% on everyday tasks" (3 November 2026): aiweekly.co
- APIdog — "What Is OpenAI LifeVal? The Everyday-Task Benchmark" (3 November 2026): apidog.com
- PakTechStan — "OpenAI's New LifeVal Test Grades AI on Everyday Life — and Its Own Model Tops the Chart" (3 November 2026): paktechstan.com
- ExplainX — "OpenAI LifeVal: Everyday-Task Agent Benchmark Explained" (2 November 2026): explainx.ai
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