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  1. Collection
  2. Large Language Models (LLMs)
  3. Claude 4 Sonnet

Claude 4 Sonnet: Precise AI Coding and Reasoning

Claude 4 Sonnet is a large language model that handles tasks most people find difficult to get right: writing code without errors, following multi-part instructions precisely, and reasoning through problems that require more than a one-sentence answer. If you have ever gotten a generic response from an AI tool when you needed something specific, this model is built to do better. It writes and debugs code in dozens of programming languages, answers detailed questions about documents and images, and holds the full thread of a long conversation without losing earlier context. It also supports extended thinking, a mode where the model works through a problem step by step before answering, which makes a real difference on logic-heavy or ambiguous tasks. Whether you are drafting a technical document, debugging a script, or asking detailed questions about an uploaded image, Claude 4 Sonnet fits into the part of your workflow where you need a reliable, precise answer. It runs directly in the browser on Picasso IA with no local setup required.

Official

Anthropic

1.05m runs

Claude 4 Sonnet

2025-05-22

Commercial Use

Claude 4 Sonnet: Precise AI Coding and Reasoning

Table of contents

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

Claude 4 Sonnet is a large language model built for tasks where precision matters: following complex instructions, reasoning through multi-step problems, and writing code that actually works. On Picasso IA, you can run it directly in your browser without installing anything or writing a single line of setup. It accepts both text and images as input, which means you can ask questions about a document, a screenshot, or any image you upload alongside your prompt. This version is a substantial step up in accuracy and instruction-following compared to earlier iterations, with notable improvements in coding output and logical reasoning.

How It Works

  • Type your prompt into the text field, adding any context, constraints, or formatting requirements you want the model to follow.
  • Optionally upload an image if your task involves visual content, such as a screenshot, diagram, chart, or photo.
  • Adjust the system prompt field to define a persona, set rules, or limit the model to a specific domain before the user prompt runs.
  • Set the max tokens value if you want to cap or extend how much the model writes in a single response.
  • Toggle extended thinking on if you want the model to reason through the problem before answering, then hit generate and read the result.

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open Claude 4 Sonnet on Picasso IA, adjust the settings you want, and hit generate.

Is it free to try? Yes, you can run Claude 4 Sonnet without a paid plan to test it out. Check the pricing page for credit details and any usage limits that apply.

How long does it take to get results? Most responses arrive within a few seconds for standard prompts. Turning on extended thinking adds a brief pause while the model works through its reasoning, but the answer tends to be more accurate as a result.

What output formats are supported? The model returns plain text by default. You can ask it to format responses as markdown, JSON, code blocks, or structured lists by specifying the format you want in your prompt.

Can I customize the output quality or style? Yes. Use the system prompt field to set a persona, writing style, or specific rules for the response. Adjust the token limit to control how long or short the output is.

What happens if I'm not happy with the result? Refine your prompt with more detail or clearer constraints and run it again. Toggling extended thinking on or off can also produce noticeably different results depending on the task.

Where can I use the outputs? The text the model generates is yours to use. Paste it into documents, code editors, email clients, or any other tool without restriction.

Credit Cost

Each generation consumes 1 credit

1 credit

or 5 credits for 5 generations

Features

Everything this model can do for you

Precise instruction-following

Responds to nuanced, multi-part prompts without drifting off topic or ignoring stated constraints.

Extended thinking mode

Reasons through a problem step by step before answering, reducing errors on logic-heavy tasks.

Image input support

Accepts images alongside text prompts so you can ask questions about screenshots, diagrams, or photos.

Long context support

Holds the full thread of a long conversation or pasted document without losing earlier details.

Configurable output length

Set the token limit up to 8,192 per response to control how much the model writes.

System prompt control

Define the model's role, tone, and rules with a custom system prompt before any user input runs.

Code generation

Writes and explains code in Python, JavaScript, SQL, and many other languages from a plain-text description.

Enhanced coding and reasoning capabilities

Use Cases

Write a function in Python, JavaScript, or another language by describing what it should do, then get working code with an explanation of each part

Debug a broken script by pasting the code and error message, and receive a corrected version with notes on what went wrong

Draft a detailed email, report, or proposal by describing the topic and tone, then refine the output sentence by sentence

Upload an image and ask specific questions about its content, such as reading text in a photo or describing a diagram in plain language

Ask multi-step logic or math questions and get a step-by-step breakdown of how the answer was reached

Generate a system prompt or structured set of instructions for another workflow by describing the behavior you need

Use extended thinking mode to work through ambiguous decisions by having the model reason through options before giving a final answer

Brainstorming ideas or outlining projects

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