What Models Does ImagineArt Actually Run?

Every AI platform claims access to the best models. Few publish the list, and fewer still explain which one you should use for what.

ImagineArt is unusual in that the model catalogue is the product. It does not train its own flagship engine and then defend it. It licenses around forty of them and lets you pick per job.

So the honest way to evaluate it is to look at what is actually in the catalogue, which models you get at which price, and what the list does not tell you.

Why the Model List Matters

A single-model tool gives you one aesthetic. Everything you make carries it, whether or not it suits the work.

That is fine until it is not. A clean e-commerce product shot and a moody editorial image want different engines, and no amount of prompt rewriting turns one into the other.

The second reason is that the leaderboard moves. Blind preference testing on the Artificial Analysis leaderboard currently places Runway Gen-4.5 at 1,247 Elo, ahead of Veo 3 at 1,226, with Kling and Sora close behind. Those margins are narrow, and they shift with every release.

Narrow margins mean the best model overall is frequently not the best model for your specific shot.

The Video Models

ImagineArt AI video generator side carries the names most people recognise, and they differ more than the marketing suggests.

• Runway Gen-4.5, currently top of blind preference testing, strong on editing control
• Veo, Google’s line, known for cinematic output with synchronised audio
• Kling, generous on generation volume and strong on character consistency
• Seedance, fast generation with good subject consistency across clips
• Sora, OpenAI’s model, strong on prompt adherence in complex scenes
• Gemini Omni Flash, built around conversational editing of generated clips
• Hailuo and Pixverse, expressive motion, useful for stylised short-form
• WAN, open-weight, useful when cost per clip matters more than polish

The genuinely useful part is running the same prompt through three of these and comparing. That is tedious across three separate subscriptions and trivial inside one catalogue.

The Image Models

Larger and more varied than the video side, since image generation has had longer to diversify.

Used as an AI image generator, the catalogue covers most working styles.

• Nano Banana, Google’s line, strong on photorealism and faithful editing
• Flux, detailed and textural, reliable for photographic work
• Seedream, stylised and editorial looks
• Recraft, closer to design than photography, useful for graphic work
• Midjourney, distinctive aesthetic, strongest on artistic and brand imagery
• Ideogram, the one to use when text inside an image has to render legibly
• GPT Image, strong prompt accuracy and in-image editing

Ideogram deserves the specific mention. Rendering readable text is the longest-standing weakness in image generation, and picking the right model for it matters more than prompt wording.

Which Models You Get on Which Plan

Access is tiered, which is the part most comparisons skip.

• Free, 100 credits refreshing every 24 hours, limited to in-house models
• Entry paid, roughly nine video models and ten image models
• Mid tier, adding unlimited use of specific engines such as Nano Banana, Runway Gen-4 Turbo, and Midjourney
• Top tier, opening the full catalogue including premium engines like Kling Pro and Seedance Pro
• Enterprise, adding SSO, SOC 2, and legal indemnification

Credits are spent across every tool and reset monthly without rolling over. Premium models consume more credits per generation than fast ones, which is worth planning around if you work in bursts.

How to Choose Between Them

Ignore the leaderboard and run your own comparison. It takes an afternoon.

• Write three prompts that represent your actual output, not showcase scenes
• Run each through three models with identical settings
• Score only on what you care about, whether that is faces, motion, or text rendering
• Note which model wins most often, since one rarely dominates
• Record the winning model and settings, because you will want to reproduce them

If no model wins consistently across your tests, that is the argument for a catalogue rather than a subscription to one engine.

What the Model List Does Not Tell You

A long catalogue is not automatically better, and three caveats are worth stating.

• New models usually appear in their own apps before reaching any aggregator
• Some model-specific advanced parameters get simplified in a unified interface
• Forty options is genuinely paralysing before you know what any of them do
• If you only ever use one engine, a direct subscription may well be cheaper

That last point is the honest limit of the whole proposition. Breadth only pays off if you actually use it.

Conclusion

The model catalogue is what ImagineArt is, so it deserves more scrutiny than a feature list. The video side carries Runway, Veo, Kling, Seedance, Sora, and Gemini Omni Flash, the image side covers everything from Nano Banana and Flux to Midjourney and Ideogram, and access is tiered rather than flat, which is the detail most reviews omit. Whether that breadth is worth paying for depends entirely on how varied your work is, and the free daily credits are enough to find out before committing to a tier.

Frequently Asked Questions

Does ImagineArt train its own models?
It has in-house models, which are what the free tier is limited to, but the catalogue is built mainly on licensed third-party engines from Google, Runway, Kling, and others.

Are the models the same as using them directly?
Generation quality is generally the same, though some advanced model-specific parameters can be simplified inside a unified interface. For most production work the difference is not noticeable.

How often does the model list change?
Frequently. New engines are added as they ship, which is one of the arguments for a catalogue over a single-model subscription, since you are not tied to one vendor’s release schedule.