Benchmark Almanac

1H-VideoQA

Gemini 3.7 Flash 89.1% leads since August 2026
Gemini 3.7 Flash 89.1% leads since August 2026
Only in system cards

Models answer questions about videos about one hour long, so the answer needs evidence from far parts of the video.

Google DeepMind released the 101 questions as a Kaggle benchmark in 2026-06. Earlier Gemini reports used it as an in-house set.

Made by
Google DeepMind
Released
February 2024
Kind
Long videos
Level
Everyday
Scored
Checked automatically
Answers
Multiple choice
Tasks
All public
Strongest model tested
GPT-6 Astra #3 on the capability index
Last in a system card
July 2025
Last model added
October 2026
Scores refreshed
November 12th, 2026
20
Models scored on its own leaderboard
2
System cards report it, from 1 lab

Gemini 3.7 Flash leads with 89.1%

Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.

Gemini 3.7 Flash leads with 89.1%, claims included

Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.

  1. 1 Gemini 3.7 Flash 89.1%
  2. 2 Gemini 3.8 Flash 87.1%
  3. 3 Gemini 4 Argon 87%
  4. 4 Gemini 3.6 Flash 82.2%
  5. 5 Gemini 3.5 Flash 80.2%
  6. 6 Gemini 3 Flash 79.2%
  7. 7 Gemini 2.5 Pro Jun 2025 79%
  8. 8 Gemini 3.1 Pro 78.2%
  9. 9 Gemini 3.1 Flash-Lite 78.2%
  10. 10 Gemini 3.5 Flash-Lite 75.3%
  11. 11 GPT-6 Astra 75.3%
  12. 12 Claude Opus 4.8 71.3%
  13. 13 Claude Haiku 5.5 68.3%
  14. 14 Claude Sonnet 4.6 67.3%
  15. 15 GPT-5.6 Terra 67.3%
  16. 16 GPT-6 Sol 66.3%
  17. 17 GPT-5.6 Sol 62.4%
  18. 18 Grok 4.6 60%
  19. 19 Grok 4.7 59.4%
  20. 20 GPT-6 Luna 57.4%

Source: Official 1H-VideoQA leaderboard

#ModelScoreSettingDateSource
1 Gemini 3.7 Flash 89.1% Aug 2026 Official leaderboard
2 Gemini 3.8 Flash 87.1% Sep 2026 Official leaderboard
3 Gemini 4 Argon 87% Sep 2026 Official leaderboard
4 Gemini 3.6 Flash 82.2% Jul 2026 Official leaderboard
5 Gemini 3.5 Flash 80.2% May 2026 Official leaderboard
6 Gemini 3 Flash 79.2% Dec 2025 Official leaderboard
7 Gemini 2.5 Pro Jun 2025 79% Jun 2025 Official leaderboard
8 Gemini 3.1 Pro 78.2% Feb 2026 Official leaderboard
9 Gemini 3.1 Flash-Lite 78.2% Mar 2026 Official leaderboard
10 Gemini 3.5 Flash-Lite 75.3% Jul 2026 Official leaderboard
11 GPT-6 Astra 75.3% Sep 2026 Official leaderboard
12 Claude Opus 4.8 71.3% May 2026 Official leaderboard
13 Claude Haiku 5.5 68.3% Oct 2026 Official leaderboard
14 Claude Sonnet 4.6 67.3% Feb 2026 Official leaderboard
15 GPT-5.6 Terra 67.3% Jul 2026 Official leaderboard
16 GPT-6 Sol 66.3% Sep 2026 Official leaderboard
17 GPT-5.6 Sol 62.4% Jul 2026 Official leaderboard
18 Grok 4.6 60% Aug 2026 Official leaderboard
19 Grok 4.7 59.4% Sep 2026 Official leaderboard
20 GPT-6 Luna 57.4% Sep 2026 Official leaderboard
#ModelScoreSettingDateSource
1 Gemini 3.7 Flash 89.1% Aug 2026 Official leaderboard
2 Gemini 3.8 Flash 87.1% Sep 2026 Official leaderboard
3 Gemini 4 Argon 87% Sep 2026 Official leaderboard
4 Gemini 3.6 Flash 82.2% Jul 2026 Official leaderboard
5 Gemini 2.5 Pro Jun 2025 81% Jul 2025 Lab model card
6 Gemini 3.5 Flash 80.2% May 2026 Official leaderboard
7 Gemini 3 Flash 79.2% Dec 2025 Official leaderboard
8 Gemini 3.1 Pro 78.2% Feb 2026 Official leaderboard
9 Gemini 3.1 Flash-Lite 78.2% Mar 2026 Official leaderboard
10 Gemini 3.5 Flash-Lite 75.3% Jul 2026 Official leaderboard
11 GPT-6 Astra 75.3% Sep 2026 Official leaderboard
12 Claude Opus 4.8 71.3% May 2026 Official leaderboard
13 Claude Haiku 5.5 68.3% Oct 2026 Official leaderboard
14 Gemini 2.5 Flash Jun 2025 67.5% Jul 2025 Lab model card
15 Claude Sonnet 4.6 67.3% Feb 2026 Official leaderboard
16 GPT-5.6 Terra 67.3% Jul 2026 Official leaderboard
17 GPT-6 Sol 66.3% Sep 2026 Official leaderboard
18 GPT-5.6 Sol 62.4% Jul 2026 Official leaderboard
19 Grok 4.6 60% Aug 2026 Official leaderboard
20 Grok 4.7 59.4% Sep 2026 Official leaderboard
21 GPT-6 Luna 57.4% Sep 2026 Official leaderboard

Labs report scores for 2 models in their cards. Switch the scores above to rank them together.

5 models have held number one on the official leaderboard since its release in February 2024 3 models have held number one with claims included since its release in February 2024

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

Google DeepMind
Own leaderboard Passed 85% in Aug 2026, by Gemini 3.7 Flash

Source: Official 1H-VideoQA leaderboard

Gemini 3.7 Flash on the official leaderboard passed 85% in August 2026

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

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2025 2026 Near the ceiling (85%) Gemini 3.7 Flash Gemini 3.6 Flash Gemini 2.5 Pro 0% 20% 40% 60% 80% 100% 2025 2026 Near the ceiling (85%) Gemini 3.7 Flash Gemini 3.6 Flash

Sources: Official 1H-VideoQA leaderboard and labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

2 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 81 1H-VideoQA, test, 0-shot (Table 6) Capabilities
Jul 7, 2025 Gemini 2.5 Flash technical report 67.5 1H-VideoQA, test, 0-shot (Table 6) Capabilities

One lab claim next to the leaderboard

Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. Every benchmark.

Model Lab says Board says Gap
Gemini 2.5 Pro Jun 2025 81% 1H-VideoQA, test, 0-shot (Table 6) 79% Leaderboard +2.0 pts

More in Audio and video

All 233 in Audio and video
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  • LVBench In use Hours-long video understanding with multiple-choice questions on reasoning, grounding and summarization. Gemini 4 Argon 91.7%
  • MMVU In use 3,000 expert-annotated questions on videos across 27 disciplines. Multiple-choice and open-ended accuracy. Qwen 3.8 Max 82.4%
  • MLVU In use Multi-task long video understanding (minutes to hours) with multiple-choice and generation tasks. Accuracy. Qwen 3.8 Max 90.8%
  • FLEURS In use Models transcribe read speech in 102 languages built from FLoRes-101 sentences. Model cards usually report word error rate, so lower scores are better. Phi-4-multimodal 4.00%
  • VoiceBench In use Spoken instructions with speaker, environment and content variation. Voice assistant responses scored by GPT judge or rules. Qwen3.5-Omni-Plus 93.1%