GPT 4
GPT-4 excels at complex reasoning and creative writing.
A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.
- Janela de contexto (tokens)
- 8.191
- Inteligência
- 6.7
- Código
- 13.1
- Velocidade
- —–
- Custo/tarefa
- $0.480
GPT-4 is a state-of-the-art language model designed to comprehend and produce natural language with high fidelity. It handles multi-step reasoning, maintains context over long conversations, and adapts to diverse writing styles.
Use it when you need reliable drafting, summarization, translation, code generation, or brainstorming. It shines in tasks that require deep understanding, structured output, or creative flair.
What sets it apart is its balance of breadth and depth: it draws on extensive training to provide informed responses while allowing fine-grained control over tone, format, and detail level.
- Drafting articles and blog posts
- Summarizing long documents
- Generating code snippets
- Brainstorming creative ideas
- Answering complex questions
Handles multi-step logic and nuanced arguments effectively.
Covers diverse subjects with up-to-date information.
Adapts tone, style, and format to user needs.
- Provide clear instructions for best results
- Break complex tasks into smaller prompts
- Specify desired format and tone explicitly
- Review and fact-check critical outputs
- May produce inaccurate facts without verification
- Struggles with very long context windows
- Can reflect biases present in training data
Write a 500-word sci-fi story about a time traveler who accidentally changes a minor historical event.
Outline a multi-channel marketing campaign for a new eco-friendly water bottle, including slogans, social media ideas, and email sequences.
Produce a step-by-step tutorial for building a REST API with Node.js, Express, and MongoDB, including code snippets and error handling.
Sets a random seed for reproducible outputs when possible.
Sequences where the model will stop generating further tokens.
Limits token selection to the most probable cumulative probability mass; lower values narrow choices.
Maximum number of tokens to generate in the response.
Controls randomness; higher values make output more creative, lower values more deterministic.
Penalizes new tokens based on whether they have appeared before, encouraging novel content.
Penalizes tokens based on how often they appear, reducing repetition.
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Can GPT-4 write code in multiple languages?
Yes, it supports many programming languages and frameworks.
Is the model suitable for real-time chat applications?
It works well for conversational use but response speed varies.
How does it handle sensitive topics?
It follows safety guidelines to avoid harmful content.