DeepSeek is an AI lab known for its chat app, its developer API and open-weight reasoning models you can run yourself. Picasso IA carries three of its models inside a catalog of 488, next to image, video, voice and 3D models from other labs, with free credits to start.
DeepSeek is an AI lab, and when people say the name they usually mean one of three things: the chat app on its website and phones, its developer API, or the open-weight models the lab publishes for anyone to download. All three are arranged around one idea, text intelligence: models that reason through a problem, write, and code. Picasso IA is arranged around a different idea, that one account should reach many labs and many formats. The catalog holds 488 models across twelve categories, and deepseek-v3.1, deepseek-v3 and deepseek-r1 sit in it as large language models, shelved next to image, video, voice and 3D models from other labs.
So the question is less which one is better and more where you want to use these models. If DeepSeek's models are the whole point, and you want its newest releases the day they appear, the settings its own app exposes, its API, or the weights themselves, go to the source. If a DeepSeek model is one step in a job that also needs a picture, a clip or a voice track, Picasso IA puts it in the same place as everything else, with one balance of credits behind all of it.
The title of this page is the argument in one line: reasoning models plus media on one side, DeepSeek's own chat on the other. The sections below take each side in turn, and the longest one is about where DeepSeek is simply the stronger choice, because for the job it was built around, it is.
Eleven rows. The first seven are plain yes or no questions, and the last four need a phrase because a tick would flatten them.
| Feature | Picasso IA | DeepSeek |
|---|---|---|
| Video generation from a prompt or an image | Yes | No |
| Text-to-speech voices | Yes | No |
| 3D model generation from an image | Yes | No |
| Step-by-step reasoning models | Yes | Yes |
| Models from many different labs in one account | Yes | No |
| Open weights you can download and run yourself | No | Yes |
| A direct API from the lab that trains the models | No | Yes |
| Where the models live | A catalog of 488 models | One lab's own model family |
| How you start | Pick a model, write a prompt | Open the chat or call the API |
| Running on your own machine | Browser and API only | Possible with open weights |
| What the product is arranged around | Many formats, one account | Reasoning and chat |
Picasso IA leads on 4 rows, DeepSeek leads on 2, and the other 5 come down to what you need.
The two rows DeepSeek wins are both about owning the model itself. Weights you can hold and an API that comes straight from the lab are things a catalog built to host many labs does not hand you, and if either one matters to your project, no count of formats on our side changes that. The four rows we win are about breadth, since DeepSeek has no reason to make video or voices. The shared row is the interesting one: both products give you reasoning models, and the next sections look at how different the experience around them is.
A new Picasso IA account starts with free credits, and they spend on the same catalog everyone else uses, the DeepSeek entries included. Generation costs credits and the cost depends on the model and the settings, so a short text answer and a video clip are not priced alike. You can also look around before spending anything: the collection shows what each model page is for, and the effects gallery shows one-click presets at work.
DeepSeek's chat app has long been generous with free access, which is a big part of why so many people tried its reasoning models in the first place. You can start talking to the models from the website or the phone app. The exact shape of what is free is the lab's to publish and it moves, so read it on DeepSeek's own site instead of trusting a number from a third party.
The honest split is about what you want to test. If the question is whether a reasoning model handles your kind of problem, DeepSeek's free app is the most direct place to find out, and it costs you nothing to ask. If the question is whether a DeepSeek answer plus a rendered image, a clip or a narration make a better result together than apart, the free credits on Picasso IA are what let you run that experiment in one sitting.
On Picasso IA, paying buys credits. Every generation spends some, and how many depends on the model and the settings you pick, so a heavier job costs more than a lighter one and you are never paying for a format you did not use. The current plans and amounts live on the pricing page, and they stay there on purpose, because a figure copied into an article is the first thing to go stale.
With DeepSeek, the relevant spending is mostly on the developer side. Its API is billed by the lab under terms it publishes on its own platform, and that is where anyone building a product on the models ends up. The lab's own pricing is its to state and to change, so look at its platform when you need the real thing, never at a comparison page.
The practical way to choose is to picture the bill you would actually want. If you will call a DeepSeek model thousands of times from your own code and care about a direct relationship with the lab, its API is the natural place to pay. If you will use a DeepSeek model a few times a day alongside images, video and voice, one pool of credits that covers all of it is simpler than a bill at the lab plus separate bills for everything else.
This is the section where DeepSeek earns the most room, because the difference is not a matter of taste. A lab that trains a model knows it better than anyone who serves it, and that shows up in five concrete ways.
First, new releases. DeepSeek keeps shipping, and its own app and API are where a new model or a new setting shows up first. Picasso IA carries deepseek-v3.1, deepseek-v3 and deepseek-r1, and a catalog adds models on its own schedule, so if you want whatever the lab released last week, check its site before assuming we have it.
Second, the weights. DeepSeek publishes open-weight models, which means you can download them, inspect them, fine-tune them and run them on hardware you control. For a company that cannot send text to anyone else's servers, or a researcher who wants to see what the model does inside, that is the entire reason to choose DeepSeek, and a hosted catalog cannot offer it. Picasso IA runs models for you in the browser and through the API; it does not give you the files.
Third, the API. A direct API from the lab is the most direct line to its models, with the lab's own documentation, the lab's own options and the lab's own channel when something breaks. Ours is an API for the whole catalog, one API for all models, which is a better fit when you need many formats and a worse one when you need only the lab's own.
Fourth, the app. DeepSeek's chat app is a product designed around its models, with a thinking mode and web search as the lab chooses to present them, plus the conversation history you expect from a chat product. Picasso IA is not a chat product: you pick a model, write a prompt and read the answer, and we do not claim memory, projects or any of the wrapping a dedicated assistant app builds around its model.
Fifth, depth. For a lab whose whole business is reasoning and chat, every release is about making the same kind of answer better. That focus is real, and it is why many people pick the app for long reasoning sessions, code review and careful writing.
Here is what the catalog does instead. In the toolkit you choose a model, write a prompt or attach files, and generate. Each model has its own page, and the DeepSeek pages expose the controls the lab's models take: deepseek-v3.1 has a thinking setting that can be left off or set to medium, and the entries for these models also list temperature, top-p, maximum length and repetition penalties. deepseek-r1 is the one to try when you want the model to reason through a problem before it answers, and deepseek-v3 sits beside them as a general text model. Because they share a catalog with everything else, a script or a prompt written by one of them can go straight into a video or image model in the next step, with the same credits paying for both.
DeepSeek's strength is language, and this is the shortest comparison in the page for that reason. Its models are built around language, and they are good at it. If you need a poster, a clip, a voice track or a mesh, it is not where you go to make one, and the chat app is not trying to be a media studio.
Picasso IA is the reverse. Stills come from models such as FLUX, Seedream, Imagen and nano banana. Video comes from Kling and Veo, among others, from a prompt or from an image you already have. Voices come from text-to-speech models, music from music models, and 3D models are generated from a picture. All twelve categories sit behind the same account and the same credits, and you can attach your own files to models that accept them.
The cleanest way to use both is as a relay. A reasoning model drafts the part that is about words: a script, a shot list, twenty variations of a caption, the prompt itself. A media model turns the words into pixels or sound. If that handoff is the part you want to automate, the creative agent is our product for it: you describe the result in plain words, it plans the job, picks models from the catalog, renders the steps and shows you the result, and you steer it in the same conversation. It is a separate product from the toolkit, which is where you pick the model yourself.
Editing is the other place where the two products barely meet. For text, DeepSeek's models are strong editors: paste a draft and ask for a tighter version, a different tone, a shorter email or a corrected function. That is a real daily use, and it works the same in its app and on our model pages.
For media, DeepSeek does not offer a toolbox, and a chat app is not meant to. Picasso IA keeps dedicated models for the jobs where a purpose-built tool is simply better: upscaling a low-resolution image, removing a background, retouching a photo, enhancing a video. They accept files you made anywhere, not only things generated here, so a phone photo can be cleaned up in the same account where you wrote its caption.
Where they combine, the pattern is simple. Use a DeepSeek model to rewrite the words, and use the media tools for the pixels. There is no single place in either product that does both with one click, and we would rather say that than pretend a chat window retouches photos.
Speed on Picasso IA depends on the model you choose. Fast image models return in seconds, heavier models take longer, video takes the longest because video is expensive to compute anywhere, and a reasoning model that thinks before it answers is slower than one that answers at once.
Speed and limits on DeepSeek's side are the lab's own. How quickly the app answers and how much usage it allows change with its load and its decisions, and the lab publishes them for the app and the API. Check there when your work depends on a specific rate, rather than expecting a comparison page to know it.
One practical difference sits underneath both. Run on your own hardware, an open-weight model is as fast and as available as the machine you give it, which is freedom and a chore in equal parts. Run through a hosted catalog or a lab's app, the machine is somebody else's problem, and the trade is that you accept their queue. Questions about an account, a generation that failed or a limit you hit on Picasso IA go to support.
Commercial use deserves care with both. On Picasso IA the terms can differ from one model to another, so check the specific model your business depends on, and read the platform rules too. For DeepSeek, the terms of its app and API, and the licence attached to any weights you download, are the lab's to publish, so read those directly before building on them. Whatever the tool, review anything that will be published commercially before it ships, since an output can resemble a trademark or a real person whatever any licence says.
Eight honest reasons, four for each side. If your real alternative is a general assistant rather than a lab, the ChatGPT comparison is closer to your decision, and if the open-weight angle is what draws you, the Stable Diffusion comparison covers the same trade in the image world.
Choose Picasso IA instead when the job needs more than text: when a DeepSeek answer has to become an image, a clip or a narration, when you would like to try several labs' models side by side without opening five accounts, or when one credit balance and one API should cover the whole workflow.
Nobody has to leave one to try the other. DeepSeek's app and weights keep doing what they do while you test whether a catalog suits the media half of your work, so treat this as adding a tool.
No, and it does not try to be one. DeepSeek's app is a chat product built around its own models, and Picasso IA is a catalog where you choose a model, write a prompt and get a result. If you live in long conversations, keep using the app. Picasso IA is for the work around it: running deepseek-r1 or deepseek-v3.1 next to other labs' models, and turning the text into images, video or voice.
Yes. The catalog carries deepseek-v3.1, deepseek-v3 and deepseek-r1 as large language models, each with its own page, and you run them from the toolkit like any other model. DeepSeek releases new models over time, so a version you have read about may not be in the catalog yet. Browse the full catalog to see what is there today.
Yes, and that is the main reason to use Picasso IA beside DeepSeek rather than instead of it. The same credits that run a DeepSeek model also run image, video, text-to-speech, music and 3D models, and a text answer can become the prompt of the next step. DeepSeek's own app is arranged around text, so media is the part you would do elsewhere.
No. Picasso IA runs models for you, in the browser and through the API, and does not give you weights to download. If you want to host a DeepSeek model yourself, inspect it or fine-tune it, the lab's open-weight releases are the way to do that, and that is a real advantage of going to DeepSeek directly.
The API works on the catalog: you create a key in your account, send a request that names a model and its inputs, and get the result back, with the same models and the same credits as the toolkit. The model page lists the inputs each model takes, so check it for the DeepSeek entries. Our API overview explains the shape of a request. For the lab's own API, go to DeepSeek.
We do not print numbers for either product in an article, because prices and plans change and a stale figure misleads more than no figure. On Picasso IA, new accounts get free credits, each generation costs credits that depend on the model and the settings, and the current plans are on the pricing page. DeepSeek publishes its own app and API terms on its own site.
Check before you rely on it. On Picasso IA the terms can differ from one model to another, so check the model you used and the platform rules, and never assume one model's terms cover another. For DeepSeek, the terms of its app and API and the licence on any weights you download are the lab's to publish. Review anything commercial before it ships, whichever tool made it.
Try both on your own problem, since they are built differently. deepseek-r1 is the entry to reach for when you want the model to work through a question step by step before it answers. deepseek-v3.1 is a general model with a thinking setting you can turn on for harder tasks, so it covers quick answers and deeper ones. deepseek-v3 is there too, as a general text model.
No. There is no partnership, no affiliate arrangement and no payment in either direction between Picasso IA and DeepSeek, or any other product named on these pages. DeepSeek is named here because people choosing where to use its models look for exactly this comparison, and the most useful answer we can give is an honest one, including where its own app and weights are the better choice.
Yes, and this page has tried to say so throughout, not only here. It is a serious AI lab with strong reasoning models, a chat app people use for real work, a developer API, and the unusual decision to publish open weights, which lets anyone run, study and build on its models. A catalog like ours cannot match that last part, and a reader who ends up with DeepSeek for the right reason is a reader this page has served well.
Whichever way you lean, the quickest answer is a real test on a job you care about. Open the Picasso IA toolkit, pick deepseek-r1 or any other model, and see how it fits next to the rest of the catalog.
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