AI Battle > Rankings > Arena Elo

Arena Elo Ranking — Video Editing (2026)

null by null leads the Arena Elo ranking with a score of 1156. The ranking covers 10 evaluated video editing from a public dataset that AI Battle re-checks daily.

Last updated: . Source: public benchmark datasets and provider pricing, aggregated daily; 10 entries shown.

Wan 3.01156Dreamina Seedance 2.51146Gemini Omni Flash 1.11170MiniMax H3 (768p)1129HappyHorse-1.01093Dreamina Seedance 2.01121Wan 2.71122Aleph 2.01040Kling 3.0 Omni 1080p (Pro)1000Kling O1 Pro (January)990
Every entry in the dataset, scaled from the smallest to the largest published value.

All 10 entries in this dataset

#EntryCreatorValueΔ vs #1
1Wan 3.011560.0%
2Dreamina Seedance 2.51146-0.9%
3Gemini Omni Flash 1.111701.2%
4MiniMax H3 (768p)1129-2.3%
5HappyHorse-1.01093-5.4%
6Dreamina Seedance 2.01121-3.0%
7Wan 2.71122-2.9%
8Aleph 2.01040-10.0%
9Kling 3.0 Omni 1080p (Pro)1000-13.5%
10Kling O1 Pro (January)990-14.4%

How the values are distributed

Across the 10 numeric entries in this window the median is 1121 and the mean is 1097, so the typical entry sits 34.3 below the leader. The window spans 990 to 1170.

20101222
8 equal buckets between the smallest (990) and largest (1170) value; numbers under bars are entry counts.

5 of 10 entries are at or above the median, and the top three hold 32% of the combined value — read it against the metric below, since a higher number is not "better" for every dataset.

Who publishes these entries

The source dataset for this family does not publish a provider or creator label per entry, so AI Battle cannot group them: the table above is the complete published list. Where the dataset does carry a label (model, gateway and tool families do), this section names the creators and how many entries each holds.

Metric reference

This ranking carries the metrics appearances, ciDelta, ciLower, ciUpper, elo, pricePerMinute, rank, rankLower, rankUpper, storedRank from the Arena Elo dataset in the tab::video-editing family. Units and the direction of "better" are not declared by the source dataset, so AI Battle does not invent them: values are shown exactly as published, and the ordering is the source dataset's own.

How this ranking is built

Rebuilt on from the public dataset Arena Elo (family tab::video-editing). The source lists 10 entries and all 10 are shown here. AI Battle requests the dataset's rows, keeps the ordering the source publishes, and computes only the statistics on this page: median, mean, spread, the #1–#2 gap, the creator breakdown and the raw-data file. Nothing on this page is generated text about the entries — the numbers come from the source.

Refresh cadence: every deploy re-pulls the dataset, so this page tracks the source's own update cycle. Corrections: see the methodology page.

Limitations

Raw data

Machine-readable copy of this table, with the statistics below and the source provenance: /data/rankings/video-editing-arena-elo.json. Free to reuse with attribution to AI Battle and the source dataset.

FAQ — Arena Elo

What is the best model for Arena Elo in 2026?

null by null currently leads the Arena Elo ranking with a score of 1156, the highest value in this dataset across Video Editing. AI Battle aggregates the dataset from its public source and re-checks it daily.

How often is the Arena Elo ranking updated?

The Arena Elo ranking is rebuilt daily from the upstream public dataset. Scores are the source dataset's own published values, so positions track whatever that source last released — each ranking page names the dataset it comes from.

Which models rank in the top 3 for Arena Elo?

The top 3 are: 1. null (1156), 2. null (1146), 3. null (1170).

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