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  1. Collection
  2. Large Language Models (LLMs)
  3. Gpt 5.4

Write, Code, and Reason with GPT 5.4

GPT 5.4 is a frontier language model built for the tasks that trip up most AI tools: multi-file code reviews, detailed research synthesis, and problems that need more than one reasoning step. When a standard model gives you a half-formed answer or skips the hard parts, this one holds the thread. It follows lengthy, detailed instructions with precision and does not lose context over long conversations. The model gives you direct control over how it behaves. A verbosity setting lets you pick between short, direct replies and detailed breakdowns. A reasoning effort setting lets you trade speed for depth, with higher settings producing step-by-step logic rather than a flat answer. You can also feed it images alongside text, so it handles screenshots, product photos, and diagrams in the same conversation without switching tools. Developers paste in code and ask it to spot bugs, refactor functions, or write documentation. Writers use it to tighten drafts, restructure arguments, or produce outlines at a specific reading level. Set a system prompt to lock in a persona or restrict the output format, then run it as many times as needed. Open GPT 5.4 on Picasso IA and test it on the problem you could not get another model to handle properly.

Official

Openai

39.4k runs

Gpt 5.4

2026-03-05

Commercial Use

Write, Code, and Reason with GPT 5.4

Table of contents

  • Overview
  • How It Works
  • Frequently Asked Questions
  • Credit Cost
  • Features
  • Use Cases
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Overview

GPT 5.4 is a frontier large language model built for complex professional work, multi-step reasoning, and code generation at a level that most text models can't match. If you've ever had a prompt that required juggling multiple constraints, writing production-ready code, or producing a structured document with real analytical depth, this is the model for it. Available on Picasso IA with no API keys or local setup required, it runs directly in your browser. It's the right choice when the task demands accuracy, nuance, and the ability to follow long, layered instructions without losing context.

How It Works

  • Type your prompt or paste a full conversation using the messages field; include a system prompt if you want to define the assistant's role or output format upfront.
  • Choose a verbosity level (low, medium, or high) to control whether the response is brief and direct or detailed and thorough.
  • Set the reasoning effort level, from none for fast responses to xhigh for deep multi-step analysis, and adjust max completion tokens if the model needs more room to think.
  • Attach images to your prompt if you need the model to read, interpret, or reason about visual content alongside text.
  • Hit generate and receive the response in the output panel, ready to copy or build on.

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open GPT 5.4 on Picasso IA, adjust the settings you want, and hit generate.

Is it free to try? GPT 5.4 is available with no account setup required to test it. Check the pricing panel for credit usage per run, especially at higher reasoning effort levels.

How long does it take to get results? At the default reasoning effort (none), responses arrive in a few seconds. Higher reasoning effort settings take longer since the model works through more internal steps before replying.

What output formats are supported? The model returns plain text by default. You can prompt it to structure output as markdown, JSON, numbered lists, code blocks, or any format you specify in your prompt or system prompt.

Can I customize the output quality or style? Yes. Use the system prompt to set tone, verbosity to control length, and reasoning effort to trade speed for analytical depth. You can also cap the response length using max completion tokens.

What happens if I'm not happy with the result? Adjust your prompt or system prompt and run it again. Tweaking the reasoning effort level or verbosity often produces a noticeably different result without changing the core question.

Where can I use the outputs? The text you generate belongs to you. Copy it into documents, code editors, email drafts, reports, or any tool in your workflow.

Credit Cost

Each generation consumes 1 credit

1 credit

or 5 credits for 5 generations

Features

Everything this model can do for you

Adjustable reasoning effort

Set five levels from none to maximum to balance response speed against reasoning depth.

Verbosity control

Choose low, medium, or high output length so every response fits the task at hand.

Image input

Attach photos, screenshots, or diagrams alongside a text prompt for interpretation in context.

System prompt support

Define the model's role, tone, and output rules before the conversation begins.

Long context

Handle lengthy documents, code files, or conversation threads without losing information midway.

Step-by-step reasoning

At higher effort levels, the model shows its logic before delivering the final answer.

No setup

Run it directly in the browser with a text prompt and get results in seconds.

Use Cases

Write and debug multi-file code by pasting in the relevant files and describing the bug, the feature, or the refactor you need

Condense a long research paper or technical document into a structured summary by pasting in the text and specifying the detail level you want

Draft professional emails, proposals, or reports by describing the audience, the tone, and the main points you want to hit

Interpret a screenshot, diagram, or product photo by uploading the image and asking specific questions about what it shows

Set a custom system prompt to define a consistent tone and role, then run batch tasks like content reviews or customer reply drafts

Work through a complex decision or plan by laying out the constraints and asking the model to reason through the tradeoffs step by step

Get step-by-step explanations of technical concepts by specifying your background level and the format you want the answer in

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