Benchmark Almanac

ActivityNet-QA

Gemini 2.5 Pro Jun 2025 66.7% leads since July 2025
Dropped

Models answer open-ended questions about web videos of human activities, from 58,000 QA pairs on 5,800 videos. Scored by accuracy.

Many recent papers grade answers with a GPT judge, so scores vary by protocol.

Released
June 2019
Kind
Video understanding
Level
Everyday
Scored
Graded by a model
Answers
Short answer
Tasks
All public
Strongest model tested
Gemini 2.5 Pro Jun 2025 #96 on the capability index
Last in a launch post
May 2024, dropped before it saturated
Last model added
July 2025

In the authors’ words

Recent developments in modeling language and vision have been successfully applied to image question answering. It is both crucial and natural to extend this research direction to the video domain for video question answering (VideoQA). Compared to the image domain where large scale and fully annotated benchmark datasets exists, VideoQA datasets are limited to small scale and are automatically generated, etc. These limitations restrict their applicability in practice. Here we introduce ActivityNet-QA, a fully annotated and large scale VideoQA dataset. The dataset consists of 58,000 QA pairs on 5,800 complex web videos derived from the popular ActivityNet dataset. We present a statistical analysis of our ActivityNet-QA dataset and conduct extensive experiments on it by comparing existing VideoQA baselines. Moreover, we explore various video representation strategies to improve VideoQA performance, especially for long videos. The dataset is available at https://github.com/MILVLG/activitynet-qa

Abstract of ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering (arXiv:1906.02467, CC0)
8
Models scored in lab cards
3
Launch posts list it, from 2 labs
5
System cards report it, from 1 lab

Gemini 2.5 Pro leads with 66.7% among models released by June 2025

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

The newest model with a score here came out in June 2025, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 Gemini 2.5 Pro Jun 2025 66.7%
  2. 2 Gemini 2.5 Flash Jun 2025 65.1%
  3. 3 GPT-4o May 2024 61.9%
  4. 4 Gemini 1.5 Pro May 2024 57.5%
  5. 5 Gemini 1.5 Pro Feb 2024 56.7%
  6. 6 Gemma 3 27B 52.8%
  7. 7 Gemma 3 12B 50.4%
  8. 8 Gemma 3 4B 46.3%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Gemini 2.5 Pro Jun 2025 66.7% Jul 2025 Lab model card
2 Gemini 2.5 Flash Jun 2025 65.1% Jul 2025 Lab model card
3 GPT-4o May 2024 61.9% May 2024 Lab model card
4 Gemini 1.5 Pro May 2024 57.5% May 2024 Lab model card
5 Gemini 1.5 Pro Feb 2024 56.7% Feb 2024 Lab model card
6 Gemma 3 27B 52.8% Mar 2025 Lab model card
7 Gemma 3 12B 50.4% Mar 2025 Lab model card
8 Gemma 3 4B 46.3% Mar 2025 Lab model card

3 models have held number one in labs’ own numbers since 2023

Lab claims count from the day the card came out, independent runs from the model’s release.

Google DeepMind OpenAI
Lab claims Not tested since Jul 2025

Source: Labs’ model cards

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2024 2025 Near the ceiling (85%) Gemini 2.5 Pro GPT-4o Gemini 1.5 Pro 0% 20% 40% 60% 80% 100% 2024 2025 Near the ceiling (85%) Gemini 2.5 Pro GPT-4o

Source: Labs’ model cards

No launch post has listed it since May 2024

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Google DeepMind
OpenAI
DateLaunch postScoreAs the post writes it
May 14, 2024 Gemini 1.5 Pro 57.5 ActivityNet-QA (test), 0-shot
May 13, 2024 GPT-4o 61.9 ActivityNet (%) (test)
Feb 15, 2024 Gemini 1.5 Pro 56.7 ActivityNet-QA (test), 0-shot

5 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Jul 7, 2025 Gemini 2.5 Pro technical report 66.7 ActivityNet-QA, test, 0-shot, visual-only (Table 6) Capabilities
Jul 7, 2025 Gemini 2.5 Flash technical report 65.1 ActivityNet-QA, test, 0-shot, visual-only (Table 6) Capabilities
Mar 25, 2025 Gemma 3 4B technical report 46.3 ActivityNet-QA, IT, 0-shot, 16 frames, GPT evaluation (Table 17) Capabilities
Mar 25, 2025 Gemma 3 27B technical report 52.8 ActivityNet-QA, IT, 0-shot, 16 frames, GPT evaluation (Table 17) Capabilities
Mar 25, 2025 Gemma 3 12B technical report 50.4 ActivityNet-QA, IT, 0-shot, 16 frames, GPT evaluation (Table 17) Capabilities

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