Best AI Video Generators: Video Model Leaderboard
Ranked by LMArena scores from anonymous head-to-head human votes. Artificial Analysis Video Arena Elo is shown for comparison; the two scales use different baselines and cannot be compared directly.
- Top open-weight
MiniMax H31495MiniMax
- #1 on AA (matched)
Gemini Omni FlashAA Elo 1368Google
On LMArena’s text-to-video leaderboard published Sep 22, 2026, #1 is Gemini Omni 1.1 Flash by Google (1516, 1,784 votes); the image-to-video leader is MiniMax H3 (1495).
Full leaderboard · Image-to-video
48 modelsSorted by LMArena score by default; ± is half the 95% confidence interval.
| # | Model | LMArena | Artificial Analysis | Released | License | |||
|---|---|---|---|---|---|---|---|---|
| Score↑ | Rank | Votes | Elo | Rank | ||||
| 1 | PPika V2.2Pika | 997±14 | 48 | 8,635 | – | – | – | Proprietary |
| 2 | 1052±13 | 47 | 6,801 | – | – | – | Proprietary | |
| 3 | 1108±16 | 46 | 9,521 | – | – | – | Proprietary | |
| 4 | LLTX 2 19BLightricksOpen | 1159±5 | 45 | 262,336 | – | – | – | ltx-2-community-license-agreement |
| 5 | 1166±16 | 44 | 10,303 | 1099±11 | 63 | Dec 2024 | Proprietary | |
| 6 | 1170±10 | 43 | 27,054 | – | – | – | Apache 2.0 | |
| 7 | 1185±8 | 42 | 33,734 | – | – | – | Proprietary | |
| 8 | 1194±11 | 41 | 22,519 | 1207±11 | 44 | Jun 2025 | Proprietary | |
| 9 | 1198±16 | 40 | 5,462 | 1134±11 | 59 | Nov 2025 | tencent-hunyuan-community | |
| 10 | SVidu Q2 ProShengshu (Vidu) | 1223±17 | 39 | 2,614 | 1233±10 | 37 | Sep 2025 | Proprietary |
| 11 | 1224±10 | 38 | 21,785 | 1246±11 | 32 | Jun 2025 | Proprietary | |
| 12 | 1226±19 | 37 | 1,585 | 1215±10 | 41 | Sep 2025 | Proprietary | |
| 13 | 1229±11 | 35 | 21,743 | 1249±11 | 31 | Jun 2025 | Proprietary | |
| 14 | 1229±8 | 36 | 29,957 | – | – | – | Proprietary | |
| 15 | 1235±8 | 34 | 29,824 | – | – | – | Proprietary | |
| 16 | PP-Video | 1244±16 | 32 | 23,364 | 1130±11 | 60 | Feb 2026 | Proprietary |
| 17 | SVidu Q2 TurboShengshu (Vidu) | 1244±17 | 33 | 2,509 | 1236±10 | 35 | Sep 2025 | Proprietary |
| 18 | 1257±10 | 31 | 26,272 | – | – | – | Proprietary | |
| 19 | 1258±10 | 30 | 26,081 | 1225±10 | 39 | Jul 2025 | Proprietary | |
| 20 | 1262±5 | 29 | 405,786 | 1255±9 | 28 | Oct 2025 | Proprietary | |
| 21 | 1273±8 | 28 | 34,019 | – | – | – | Proprietary | |
| 22 | 1276±13 | 27 | 3,795 | 1298±9 | 11 | Sep 2025 | Proprietary | |
| 23 | 1294±8 | 26 | 202,113 | 1266±9 | 22 | Jan 2026 | Proprietary | |
| 24 | PPixVerse V5.6PixVerse | 1299±7 | 25 | 126,710 | 1287±10 | 14 | Feb 2026 | Proprietary |
| 25 | 1307±7 | 24 | 245,206 | – | – | – | Proprietary | |
| 26 | 1310±7 | 23 | 121,082 | – | – | – | Proprietary | |
| 27 | 1321±10 | 22 | 16,907 | – | – | – | Proprietary | |
| 28 | 1326±10 | 21 | 41,194 | – | – | – | Proprietary | |
| 29 | 1331±12 | 20 | 32,367 | – | – | – | Proprietary | |
| 30 | 1354±6 | 19 | 206,221 | – | – | – | Proprietary | |
| 31 | SVidu Q3 ProShengshu (Vidu) | 1363±9 | 18 | 36,679 | 1290±9 | 13 | Jan 2026 | Proprietary |
| 32 | 1372±9 | 17 | 54,380 | – | – | – | Proprietary | |
| 33 | 1385±9 | 15 | 99,804 | – | – | – | Proprietary | |
| 34 | 1385±8 | 16 | 19,429 | – | – | – | Proprietary | |
| 35 | 1390±9 | 14 | 53,089 | – | – | – | Proprietary | |
| 36 | 1398±10 | 13 | 25,116 | – | – | – | Proprietary | |
| 37 | 1415±4 | 12 | 554,050 | – | – | – | Proprietary | |
| 38 | WWan 2.7 I2VWan | 1428±5 | 11 | 85,521 | – | – | – | Proprietary |
| 39 | AHappyHorse 1.0Aorizon | 1442±10 | 10 | 70,640 | 1294±9 | 12 | Apr 2026 | Proprietary |
| 40 | 1449±5 | 9 | 37,042 | – | – | – | Proprietary | |
| 41 | HHiDream O1 Video 1.0HiDream | 1456±8 | 7 | 6,488 | – | – | – | Proprietary |
| 42 | 1456±4 | 8 | 137,459 | 1331±11 | 8 | May 2026 | Proprietary | |
| 43 | 1465±6 | 6 | 87,155 | 1368±11 | 1 | May 2026 | Proprietary | |
| 44 | 1475±7 | 5 | 121,427 | 1339±9 | 6 | Mar 2026 | Proprietary | |
| 45 | 1477±7 | 4 | 15,729 | – | – | – | Proprietary | |
| 46 | 1480±11 | 3 | 3,442 | 1362±13 | 3 | Aug 2026 | Proprietary | |
| 47 | 1488±11 | 2 | 3,734 | – | – | – | Proprietary | |
| 48 | 1495±5 | 1 | 57,112 | 1356±11 | 4 | Jul 2026 | minimax-h3-community-license-agreement | |
Scores: LMArena leaderboard-dataset (lmarena-ai on Hugging Face, CC-BY-4.0), Image-to-video published Sep 22, 2026; AA columns from the Artificial Analysis Video Arena. Please credit the sources when citing.
Sources & methodology
- LMLMArena leaderboard dataset (Hugging Face, CC-BY-4.0)
published Sep 22, 2026 · 48 models
- AAArtificial Analysis Video Arena
fetched Oct 26, 2026 · 75 models
- Scores come from LMArena’s text_to_video and image_to_video leaderboards (overall category, latest release): users vote between two anonymous videos and LMArena fits a Bradley–Terry model.
- AA values are shown only when the model name (ignoring bracketed variant notes) maps to exactly one row; hover to see the AA entry name. Anything unmatched stays blank (–); nothing is guessed.
- Price, clip length, resolution and speed are not provided by LMArena or the AA API, so they are not shown; 720p/1080p in a name is the variant LMArena tested.
- Synced daily at 07:10 UTC; public JSON: /api/public/video-leaderboard.php
This week
Collecting data: 1/7 days recorded; weekly changes appear after 7 days
Synced automatically once a day; ranks are compared only between real snapshots, never backfilled.FAQ
What is the best AI video generator right now?
On LMArena’s text-to-video leaderboard published Sep 22, 2026, #1 is Gemini Omni 1.1 Flash by Google (1516, 1,784 votes); the image-to-video leader is MiniMax H3 (1495).
Which vendors rank highest for video generation?
On the text-to-video board, each vendor's best model ranks: Google Gemini Omni 1.1 Flash (1516, #1), Black Forest Labs FLUX 3 Video (1493, #3), xAI Grok Imagine Video 1.5 Agent (1492, #4), ByteDance Dreamina Seedance 2.0 720p (1479, #5), Alibaba Wan 3.0 (1476, #6).
Which open-weight video models can I run locally?
7 text-to-video models have non-proprietary licenses; the highest is MiniMax H3 (1460, license minimax-h3-community-license-agreement). Community licenses may restrict commercial use; check the license text.
Why do LMArena and AA scores differ so much?
The two platforms use different voters, prompts and baselines, so absolute numbers are not comparable; relative order within one platform is what matters.