Ranking de Modelos de IA da OpenArt Arena

A product shot looks great until you notice the label has changed. A generated film scene has beautiful lighting, but the camera moves in the wrong direction. These are the details that determine whether an AI output makes it into the final cut.

OpenArt Arena is now live to help creators compare models with those details in mind. You can browse AI image and video model rankings, check performance on individual criteria, and look at sample generations before deciding what to try.

The question behind Arena is straightforward: which model is a good fit for the work you need to make?

A leaderboard that starts with the job

Imagine you are making a campaign for a new skincare product. You need still images for the product page, a short video ad, and a talking presenter for social media. Those assets belong to the same campaign, but they ask different things of a model.

For the product images, the bottle, label, and color need to stay accurate. For the ad, the product has to look convincing in motion. For the presenter, the mouth movements need to match the audio. A strong result on one of those tasks tells you only so much about the others.

OpenArt Arena organizes its rankings around these differences. There are overall image and video boards when you want a broad comparison, plus industry and capability boards when you already know what you need.

That is the idea behind OpenArt’s approach to rankings de modelos criativos de IA: make the comparison specific enough to help with an actual production decision.

What you can compare today

The leaderboard has two main views: Video and Image. Choose one, then select the board that matches your work.

Video model leaderboards

• Geral: general video capabilities across use cases.
• Anúncios: commercial and branded video.
• Cinema: cinematic scenes and storytelling.
• Animação: animated characters and sequences.
• Motion Design: design-led motion work.
• Edição de vídeo: changes to existing video.
• Lip Sync: matching speech or singing to visible mouth movements.

Image model leaderboards

• Geral: general image capabilities across use cases.
• Produto / E-commerce: product-focused imagery.
• Cinema: film-oriented still imagery.
• Design Gráfico: visual communication and design.
• Edição de imagem: changes to existing images.

Film appears in both views because creating a still frame and generating a moving sequence are different tasks. Similarly, image editing has its own board: producing a new image does not necessarily tell you how well a model can make a precise change to an existing one.

What matters in an ad may not matter in a film

A distorted logo can make an otherwise polished ad unusable. In a film scene, an unexpected change in a character’s face or lighting can break continuity. In graphic design, a misspelled headline or poorly arranged text can spoil the entire composition.

Arena’s Critérios de avaliação de modelos de IA reflect those differences. Advertising evaluations include product and brand consistency. Film evaluations include camera and lighting control. Graphic design evaluations look at details such as layout and typography.

This gives you a reason to look past the first row of the overall leaderboard. If your brief depends on accurate text, check the relevant criterion. If you need a model to follow an edit without changing everything else, start with the editing board.

You may end up choosing different models for different parts of the same project. That is a useful outcome: the point is to find tools that suit the work.

Who judges the outputs, and how?

The published launch results include contributions from 28 expert judges and 1,003 Tastemakers, as reported in the September 15, 2026 update. The Painel de avaliação de modelos de IA brings together people working in filmmaking, advertising, academia, and the creator economy, alongside practitioners from studios, schools, and creative communities.

Judges compare two outputs without seeing which model made them. Each comparison asks about one named criterion, rather than simply asking which result they like more. The models receive the same brief, and the output submitted for evaluation is selected by a fixed rule rather than hand-picked.

The votes are used to calculate relative scores through a Bradley–Terry model. Expert Council votes carry three times the weight of Tastemaker votes. The published Metodologia de ranqueamento de modelos de IA explains the scoring, weights, and checks in more detail.

Results include 95% confidence intervals. When those intervals overlap, a small score difference should not be treated as a clear advantage. Scores also belong to their own boards: the same number on Film and Ads does not mean the same level of performance.

Which models are included at launch?

The published launch lineup includes seven image models and eleven video models. Individual boards may have smaller model lists, depending on eligibility and evaluation coverage.

Modelos de imagem: Seedream 5.0 Pro, GPT Image 2, Nano Banana Pro, Grok Imagine 2.0, Nano Banana 2, Qwen Image 3.0 e Flux.2 Pro.

Modelos de vídeo: Seedance 2.5, Wan 3.0, Seedance 2.0, Seedance 2.0 Mini, Google Omni Flash, Flux 3 Video, MiniMax H3, Kling 3.0 Omni, HappyHorse 1.1, Grok Imagine 1.5 e PixVerse V6.

These names refer to the launch results, not a permanent roster. Check the live board for the latest published coverage, and pay attention to the model version when comparing results.

From a ranking to a model you can use

Once you have found the relevant board, look at the criteria that could make or break your deliverable. Then inspect the sample prompts and generations. A score is easier to interpret when you can see the kind of output behind it.

Before committing, try a few shortlisted models on the same brief with the same reference assets. For a product campaign, use your actual packaging. For a character scene, use the reference image you plan to work with. This is where you find out whether the strengths shown in the benchmark carry over to your project.

Check the production requirements too. Resolution, supported references, video length, generation time, and price can all affect your choice. Those specifications are separate from Arena’s quality scores.

Arena can help you decide where to start testing. Your own brief determines which model earns a place in the workflow.

How Arena fits alongside other AI leaderboards

Arena.ai, Artificial Analysis, and leaderboard projects hosted on Hugging Face offer other ways to compare models, including preference rankings, technical evaluations, and price or speed comparisons.

OpenArt Arena focuses on creative production, with expert-led judging and boards for particular industries and tasks. When comparing results across sites, check what each evaluation measures, which model versions it includes, and who is doing the judging. Different evaluations can produce different rankings without answering the same question.

OpenArt operates Arena and evaluates models available on its platform. Its Divulgações de benchmark de modelos de IA explicam o escopo, as relações comerciais, a remuneração dos juízes e as práticas de dados. A OpenArt declara que nenhum provedor de modelo pagou por inclusão, posicionamento, ranking ou tratamento favorável.

Perguntas frequentes

Where can I see the current number-one model?

Open the leaderboard, choose Image or Video, and select a board. The top-ranked model may differ by task, so check the relevant criteria and confidence intervals alongside the headline rank.

Does Arena cover every AI image and video model?

No. Arena evaluates a defined set of models available on OpenArt. The selected board shows which models are included in that comparison.

Can I help evaluate models?

Yes, you can apply to become a Tastemaker. Visit the creative AI judges and Tastemakers page and follow the application link.

How do I report a problem with a result?

E-mail arena@openart.ai with the board, model version, and result you are referring to.

Where do I generate images and videos after choosing a model?

Use OpenArt to test the models you have shortlisted with your own prompts and references, then continue creating there.