Benchmark Almanac

LMArena Video Edit Arena

Wan 3.0 1,414 leads since Aug 2026 Not in model cards

Video editing models apply the same edit request to the same clip, anonymously and side by side. Community votes give Elo-style ratings.

Launch month not found. Ratings are in the video_edit config of the dataset.

Made by Arena (formerly LMArena) Video generation All tasks public Last model added Aug 2026 Scores refreshed 2 Nov 2026
Level
Everyday Most adults, without training
Scored
Ranked by votes People pick the better of two answers, as in an arena, and the votes are turned into ratings.
Answers
Open-ended Free-form text, documents, designs or media judged as a whole.
10
Models scored on its own leaderboard

Wan 3.0 leads with 1,414 among models released by Aug 2026

Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best.

The newest model with a score here came out in Aug 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

Bars start at 1,150.

  1. 1 Wan 3.0 1,414
  2. 2 Dreamina Seedance 2.5 1,410
  3. 3 MiniMax H3 1,392
  4. 4 Gemini Omni Flash 1,367
  5. 5 Dreamina Seedance 2.0 1,365
  6. 6 HappyHorse 1.0 1,307
  7. 7 Grok Imagine Video 1,258
  8. 8 Kling O3 Pro 1,255
  9. 9 Kling O1 Pro 1,197
  10. 10 Runway Gen-4 Aleph 1,182
#ModelScoreSettingDateSource
1 Wan 3.0 1,414 Aug 2026 Official leaderboard
2 Dreamina Seedance 2.5 1,410 Aug 2026 Official leaderboard
3 MiniMax H3 1,392 Aug 2026 Official leaderboard
4 Gemini Omni Flash 1,367 Aug 2026 Official leaderboard
5 Dreamina Seedance 2.0 1,365 Aug 2026 Official leaderboard
6 HappyHorse 1.0 1,307 Aug 2026 Official leaderboard
7 Grok Imagine Video 1,258 Aug 2026 Official leaderboard
8 Kling O3 Pro 1,255 Aug 2026 Official leaderboard
9 Kling O1 Pro 1,197 Aug 2026 Official leaderboard
10 Runway Gen-4 Aleph 1,182 Aug 2026 Official leaderboard

Number one over time

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

Alibaba Group
Own leaderboard Not tested since Aug 2026
Wan 3.0 1,414

Scores over time

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
1,200 1,300 1,400 1,200 1,300 1,400

No lab model card reports it yet

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.

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  • 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%
  • 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%
  • TVBench In use Models answer multiple-choice questions on 10 temporal video tasks, such as action counting and ordering, that static frames cannot solve. Scored by accuracy. Qwen 3.8 Max 81.9%