Every language model has a personality. One writes cleaner prose, another untangles a stack trace, a third reads the screenshot you were too tired to describe. Keeping a tab open for each of them is how a morning disappears. In the Picasso IA toolkit, Chat is a single mode with 75 language models behind it, so you change the model, keep your prompt, and read the answers one under the other.
Most people do not pick a favorite model on purpose. They pick whichever site they happened to sign up for, and then they live with its habits: the way it hedges, the way it formats lists, the questions it fumbles. You only notice the habit when you ask the same thing somewhere else and the answer comes back sharper, or shorter, or just different enough to be useful.
That is the real reason to have several models within reach. Not to collect them, but to run a second opinion on the prompts that matter: a contract clause you need explained, a function that fails on one input, a cover letter that sounds stiff. Switching tabs for that means pasting the same text three times, rebuilding the same instructions three times and then trying to remember which window said what.
Picasso IA puts Claude Sonnet 5, Claude Fable 5, GPT 5.6 Terra, Gemini 3.5 Flash and Kimi K2.6 in the same chat mode, along with the rest of the 75 models in the large-language-models category. The full catalog lists all 502 models across every category, so the chat models are one slice of a bigger toolbox. New accounts get free credits to try them.
The toolkit is the workspace where every model on the site runs. Along the top there is a mode selector, and Chat is one of its modes, next to image, video, music, voice and the rest. Choose Chat and the model picker fills with language models. Search by name, pick one, write in the prompt box and send.
Here is what that gives you, based on how the toolkit behaves today:
The model is a setting, not a destination. Changing it swaps the model and its form on the same page, without leaving the workspace. If the new model also has a prompt field, the text you typed stays in the box. Files you attached are carried over to a matching slot when the new model has one for the same kind of file, and dropped when it does not.
Each send is its own run. The prompt in the box goes out together with that model's settings, and the answer shows up in your history next to the prompt that produced it, so a series of sends with different models reads like a column of results you can scroll through. It is not one long thread in which each model sees what the previous one said. If the second model needs context from the first, paste that context into the prompt.
Settings differ by model, and the form shows what each one offers. Claude Sonnet 5 has an effort level from low to max, GPT 5.6 Terra has reasoning effort and verbosity, and Gemini 3.5 Flash has a thinking level. Most of them also take a system prompt, which is where you put a role or a house style once.
These are the models named on this page, with what their catalog entries say they accept and expose. Read it as a map of what each form lets you change, not as a ranking.
| Model | What it reads | Settings you can change | A sensible first use |
|---|
| Claude Sonnet 5 | Text and one image | Effort (low to max), system prompt, output length | Multi-step coding and debugging |
| Claude Fable 5 | Text and one image | System prompt, output length, image resolution | Long structured prompts and hard questions |
| GPT 5.6 Terra | Text and several images | Reasoning effort, verbosity, system prompt | Everyday drafting, summaries and code help |
| Gemini 3.5 Flash | Text, images, audio and video | Thinking level, temperature, system instruction | A task that mixes media with text |
| Kimi K2.6 | Text and several images | Reasoning effort, temperature, system prompt | Very long inputs such as whole codebases |
Two details from that table decide a lot in practice. Gemini 3.5 Flash is the one in this group that accepts audio and video next to text, so a recording plus a question belongs there first. Kimi K2.6 advertises a context window of up to 262,000 tokens, which is the number to check when your input is a pile of files rather than a paragraph.
This is the loop that turns three models into one comparison. It takes a prompt you already care about and a few minutes.
- Open Chat in the toolkit. Go to the toolkit and choose Chat in the mode selector, so the model picker lists language models instead of image or video ones.
- Pick the first model. Search for Claude Sonnet 5, write your prompt, add a system prompt if you want a role, and attach an image if the task needs one.
- Send it and read the answer. Note what it got right, what it skipped and how it formatted the result, before the next model colors your opinion.
- Switch the model and send again. Pick GPT 5.6 Terra, then Gemini 3.5 Flash. Your prompt stays in the box, compatible attachments follow it, and you only touch the settings that differ.
- Compare and keep the winner. Scroll through the answers in your history, keep the one that fits, and use that model for the next round. Use Kimi K2.6 when the input is too long for the others.
If the answer you want is a picture or a video rather than text, the same workspace covers that: write the brief with a chat model, then switch the mode to an image or video model and the prompt comes along when the new model has a prompt field. The storyboards page shows where that handoff pays off.
A side-by-side only means something if the models got the same job. Three habits keep it honest. Send the identical prompt, word for word, instead of retyping it. Change one thing at a time, either the model or a setting, never both. And judge against what you needed, not against which answer is longest.
Test with a prompt you already know the right answer to: a bug you fixed last week, a paragraph you rewrote by hand, a document you have read twice. When the correct answer is in your head, differences between models stop being a matter of taste and become something you can check.
Pair that with a short checklist for the prompt itself:
- State the job first: open with what you want done, then paste the material, so every model starts from the same instruction.
- Set a role once: put the persona or the house style in the system prompt instead of repeating it in every message.
- Attach, do not describe: when the question is about a screenshot or a chart, attach it to a model that reads images, rather than summarizing it in words.
- Fix the format: ask for a table, a numbered list or two paragraphs, so formatting differences do not hide content differences.
- Match the effort: if one model gets a high reasoning setting, give the others a comparable one, or note the gap when you read the results.
For recordings, a dedicated transcription flow is often the cleaner start, as in meeting notes from audio, with a chat model then summarizing the text.
A single workspace removes the tab shuffle. It does not remove every limit, and a few are worth knowing before you build a habit around it.
The biggest one is memory. Each send is a separate run, so a model never sees what another one answered unless you paste it into the prompt. If you were hoping to hand a half-finished conversation from Claude to Gemini and have it pick up mid-sentence, that is not how the toolkit works today. You carry the context yourself.
The second is that this is not a vendor's own app. Features that belong to a company's own product, such as saved projects or long-term memory, are not part of running a model here. You get the model and its settings, not the rest of its home site. And the settings themselves are not interchangeable: Claude effort levels, GPT verbosity and Gemini thinking levels are different dials, so an equal setting across models is an approximation.
The third is trust. When two answers conflict, the app cannot tell you which one is right. Check facts, numbers and code against a source you trust, and do not move legal, medical or financial answers into real decisions without a qualified person reading them. Finally, the catalog moves: models are added and retired, so a name on this page may change later. The catalog and the model picker are the source of truth.
If you mostly live in one model and rarely compare, this adds little. If you compare often, it is the difference between one paste and three.
Can I switch between Claude, GPT and Gemini in the same chat?
You can switch models without leaving the Chat mode of the toolkit, and your prompt text stays in the box when the new model has a prompt field. What you should not expect is a single thread that all three models share. Each send is its own run with its own answer in your history, so if the next model needs the earlier answer, paste it into the prompt.
Does the next model remember what the previous one said?
No, assume it does not. A model answers the prompt and settings you send in that run. For a follow-up on another model, copy the part of the earlier answer that matters into the new prompt, with one line of context such as the question it was answering. That is also a good habit for judging answers, because it shows what the second model does with real material.
Which models can I use?
The large-language-models category holds 75 models. This page uses Claude Sonnet 5, Claude Fable 5, GPT 5.6 Terra, Gemini 3.5 Flash and Kimi K2.6, and the model picker in Chat mode lets you search the rest by name. You can also browse them by category in the collection, where each model has its own page with details.
Can I attach images or files to a chat prompt?
Where the model accepts them, yes. Claude Sonnet 5 and Claude Fable 5 take one image, GPT 5.6 Terra and Kimi K2.6 take image lists, and Gemini 3.5 Flash also lists audio and video inputs. The toolkit shows the attachment slots a model has. If you switch to a model with no matching slot, the file is dropped, so attach it again after you land on one that fits.
Is it free to try?
New accounts get free credits, which is enough to send the same prompt to a few models and see how they differ. Past that, every run costs credits, and the cost depends on the model and the settings you choose. Plan sizes and prices change, so the pricing page is the only place to read them from.
Which model is best for coding?
There is no single answer, and the catalog is the reason to test. Claude Sonnet 5 and Kimi K2.6 are both described as coding and agent models, and GPT 5.6 Terra is listed for code help too. Take a bug you have already solved, give it to two or three of them, and see which explanation you would have wanted. Your code and your habits decide it better than any list.
Can I set a system prompt or a role?
Most chat models here have a field for it. Claude Sonnet 5, Claude Fable 5, GPT 5.6 Terra and Kimi K2.6 call it a system prompt, and Gemini 3.5 Flash calls it a system instruction. Use it for a role, a tone or a format you want in every reply, then keep the prompt box for the task itself, so you can swap models without rewriting your rules.
Do I need a separate account for each model?
No. These models run inside Picasso IA, so one account covers all of them, and the credits you spend are the same credits you would spend on an image or a video. You choose the model from the picker rather than signing in to a different site for each one.
What should I do when two models give different answers?
Treat the disagreement as a flag, not a verdict. Ask each model to show its reasoning or its sources in the prompt, check the specific claim that differs against a reliable source, and run the facts that matter through a third model or a human who knows the topic. For health, law or money, general information from a model is never a substitute for a qualified professional.
Can I use the answer to make an image or a video?
Yes, the same toolkit covers image, video, music and voice as well as chat. Write the brief with a chat model, switch the mode, and the prompt carries over when the new model has a prompt field. That works well for scripts, shot lists and image prompts, which you can then run on a model from the catalog.
Ready to stop copying prompts between windows? Open the toolkit, choose Chat and send your first prompt to two models in a row.