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# GPT-o1 answered 80% of CalendarQA date questions correctly; no other model of seven passed 47%
- URL: https://aiadoption.org/data/calendarqa-date-reasoning/
- Published: 2026-10-19T15:55:14.000Z
- Updated: 2026-10-21T06:02:41.000Z
- Description: Shown yearly calendar images, GPT-o1 answered 80% of date questions correctly, against 46.7% for the next best model, Claude-3.5-sonnet. Llama 3.2-Vision scored 11.7%.
- Author: Manu
- Tags: Data, AI Benchmarks, Computer Vision, #chart, #ai-index-2026, #hub-benchmarks

80%

#1 of 7

CalendarQA accuracy of GPT-o1, the best of seven models; Claude-3.5-sonnet scored 46.7%

GPT-o180%

Claude-3.5-sonnet46.7%

GPT-4o43.3%

## What the chart shows

In the same study as the clock test, Saxena et al. (2025) asked seven multimodal models questions about yearly calendar images. GPT-o1 answered 80% correctly, well ahead of Claude-3.5-sonnet (46.7%) and GPT-4o (43.3%).

Every model did better on calendars than on clocks: Gemini-2.0, best at reading clocks with 22.6%, scored 31.7% here. The report notes more errors when questions needed date arithmetic than when they asked about well-known holidays.

## Key numbers

| Measure           | Value  |
| ----------------- | ------ |
| GPT-o1            | 80%    |
| Claude-3.5-sonnet | 46.67% |
| GPT-4o            | 43.33% |
| Gemini-2.0        | 31.67% |
| Llama 3.2-Vision  | 11.67% |

## How to read it

- Accuracy is the share of date questions answered correctly.
- Every value is a multiple of 1/60 (about 1.67%), consistent with a small set of 60 questions, so differences of a few points are not meaningful.
- Clock-reading results for the same models are in the [related chart](https://aiadoption.org/data/clockqa-analogue-clock-reading/).

**Source:** [Saxena et al.](https://aiadoption.org/sources/#saxena-2025-lost-in-time), 2025, via the AI Index Report 2026 (Stanford HAI), figure 2.4.7: *CalendarQA: accuracy*. Chart and text by AI Adoption.  
Numbers checked against the published data on 20 October 2026.  
[Download the data (CSV)](https://charts.aiadoption.org/ai-index/csv/calendarqa-date-reasoning.csv?ref=aiadoption.org) · [Cite this chart](#source)