Wan3.0 ranks first in the new Artificial Analysis video generation benchmark
Wan3.0 ranks first overall in the newly launched Artificial Analysis AA-Video-T2V v2.0 text-to-video benchmark, and leads in 10 of 20 category leaderboards, including cartoon and anime styles and animation and gaming use cases, with a video cost of 12 USD per minute. The benchmark is based on more than 1000 prompts and over 68000 human preference votes from private evaluators in the US and UK, and uniformly judges models at 1080p high bitrate. Wan officially thanks the team, the evaluators, and the creators who use Wan.
Why read this
SelectedAI score 64
The first round of rankings on the new Artificial Analysis benchmark shows that Wan 3.0 leads in 10 of 20 category leaderboards, with a video cost of 12 USD per minute.
Topics
View original postWe are launching AA-Video-T2V v2.0, our new benchmark for evaluating text to video models, alongside AA-Video-T2V-Silent v2.0 for video generation without audio. Built on a new methodology, it judges every model at 1080p on a regularly refreshed prompt set, and ranks them across 10 use cases, 10 capabilities and a wide range of styles. Video models are being adopted across more industries and workflows, from film studios to advertising agencies. Our new benchmark not only ranks models overall, but also shows which model is best for specific use case and video generation capability. Use cases are grounded in how consumers and enterprises use video generation. Capabilities draw on lab and academic research, and on how creators and businesses push video models today. We tag every prompt by use case (such as Live-Action Film and Marketing & Advertising) and by the capability it tests (such as Text Rendering and Audio Synchronization), and the overall benchmark samples evenly across both. Because of this, the overall ranking reflects a model's versatility across use cases and well-roundedness across capabilities. We also tag each prompt by visual style, such as photorealistic, 3D render, cartoon and anime, and hand-drawn illustration. AI video is also moving onto bigger screens and into production, from microdramas to movie theaters, while low barrier to generate is resulting in a proliferation of low quality AI video content. The quality bar keeps rising, so we now judge every clip at 1080p and high bitrate. We are launching AA-Video-T2V v2.0 with more than 68,000 high quality human preference votes from private evaluators based in US/UK over 1,000 prompts, and AA-Video-T2V-Silent v2.0 with more than 47,000 votes over 500 prompts. Initial insights from an in-depth analysis of the 10 highest ranking models on the Artificial Analysis AA-Video-T2V v2.0 Leaderboard: ➤ Wan 3.0 ranks #1 overall and leads 10 of the 20 category boards, including Cartoon and Anime style and Animation & Gaming use case, at $12 per minute of video. ➤ Dreamina Seedance 2.5 ranks #2 and is the human performance specialist, #1 on both Human Anatomy and Dialogue & Lip Sync. At $34.12/min it is the most expensive model in the top 10. ➤ MiniMax H3 (768p) ranks #3, statistically tied with Seedance 2.5 at $4.80/min, about 1/7 of the price. It is also #1 on Text Rendering. ➤ FLUX 3 ranks #4, with its strongest results on Text Rendering (#3) and Dialogue & Lip Sync (#2). ➤ Gemini Omni Flash 1.1 ranks #5 and is the graphic 2D and audio specialist, #1 on UI/UX & Motion Design use case, Flat Design style and Audio Synchronization capability. See below for the use case, capability and style breakdowns 🧵
View original
We are launching AA-Video-T2V v2.0, our new benchmark for evaluating text to video models, alongside AA-Video-T2V-Silent v2.0 for video generation without audio. Built on a new methodology, it judges every model at 1080p on a regularly refreshed prompt set, and ranks them across 10 use cases, 10 capabilities and a wide range of styles. Video models are being adopted across more industries and workflows, from film studios to advertising agencies. Our new benchmark not only ranks models overall, but also shows which model is best for specific use case and video generation capability. Use cases are grounded in how consumers and enterprises use video generation. Capabilities draw on lab and academic research, and on how creators and businesses push video models today. We tag every prompt by use case (such as Live-Action Film and Marketing & Advertising) and by the capability it tests (such as Text Rendering and Audio Synchronization), and the overall benchmark samples evenly across both. Because of this, the overall ranking reflects a model's versatility across use cases and well-roundedness across capabilities. We also tag each prompt by visual style, such as photorealistic, 3D render, cartoon and anime, and hand-drawn illustration. AI video is also moving onto bigger screens and into production, from microdramas to movie theaters, while low barrier to generate is resulting in a proliferation of low quality AI video content. The quality bar keeps rising, so we now judge every clip at 1080p and high bitrate. We are launching AA-Video-T2V v2.0 with more than 68,000 high quality human preference votes from private evaluators based in US/UK over 1,000 prompts, and AA-Video-T2V-Silent v2.0 with more than 47,000 votes over 500 prompts. Initial insights from an in-depth analysis of the 10 highest ranking models on the Artificial Analysis AA-Video-T2V v2.0 Leaderboard: ➤ Wan 3.0 ranks #1 overall and leads 10 of the 20 category boards, including Cartoon and Anime style and Animation & Gaming use case, at $12 per minute of video. ➤ Dreamina Seedance 2.5 ranks #2 and is the human performance specialist, #1 on both Human Anatomy and Dialogue & Lip Sync. At $34.12/min it is the most expensive model in the top 10. ➤ MiniMax H3 (768p) ranks #3, statistically tied with Seedance 2.5 at $4.80/min, about 1/7 of the price. It is also #1 on Text Rendering. ➤ FLUX 3 ranks #4, with its strongest results on Text Rendering (#3) and Dialogue & Lip Sync (#2). ➤ Gemini Omni Flash 1.1 ranks #5 and is the graphic 2D and audio specialist, #1 on UI/UX & Motion Design use case, Flat Design style and Audio Synchronization capability. See below for the use case, capability and style breakdowns 🧵
Body
The English body is being prepared. You can open the original source.