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deepseek
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R1

DeepSeek R1: Reason step-by-step through complex text tasks.

A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.

Janela de contexto (tokens)
64.000
Inteligência
13.1
Velocidade
—–
Custo/tarefa
$0.022
Sobre este modelo

DeepSeek R1 is designed for deep reasoning and structured problem-solving. It works through questions methodically, making it ideal for tasks that require careful analysis, multi-step logic, or detailed explanations. Unlike simpler models, it can show its reasoning process, helping you understand how it arrives at answers.

Use DeepSeek R1 when you need to tackle challenging math problems, analyze data, write structured reports, or debug code. It shines in scenarios where accuracy and clarity matter more than speed. The model is built to handle complex instructions and produce well-organized responses.

What makes DeepSeek R1 distinctive is its ability to reason transparently. It can break down its own thought process, making it a powerful tool for learning, teaching, and verifying complex information. It is less suited for casual conversation or creative storytelling, where a more fluid model might be preferred.

Melhores casos de uso
  • Solving multi-step math and logic problems
  • Analyzing and summarizing complex documents
  • Writing structured reports and essays
  • Debugging and explaining code
  • Step-by-step tutoring and explanations
Pontos fortes
Deep Reasoning

Breaks down complex questions into clear, logical steps.

Transparent Process

Shows its reasoning to help you understand and verify answers.

High Accuracy

Excels at tasks requiring precision, like math and analysis.

Dicas
  • Use specific, detailed prompts for best results.
  • Ask it to show its reasoning for complex problems.
  • Break long tasks into smaller, sequential questions.
  • Review its reasoning to catch potential errors.
Limitações
  • May be slower than simpler models due to deep reasoning.
  • Less creative or fluid for open-ended storytelling.
  • Can over-explain simple questions with unnecessary detail.
Exemplos de geração
Exemplo em breve
Logical Deduction

If all A are B, and some B are C, can we conclude that some A are C? Explain your reasoning step by step.

Exemplo em breve
Essay Outline

Create a detailed outline for a persuasive essay arguing that renewable energy is essential for economic growth. Include an introduction, three main arguments, and a conclusion.

Exemplo em breve
Data Analysis

Given the following sales data for Q1, identify trends and suggest three actionable insights. Show your reasoning for each insight.

Prompts de exemplo
Math Problem Solver
Solve the following equation step by step: 3x + 7 = 22. Explain each step.
Document Summarizer
Summarize the key arguments in this paragraph about climate change policy in three bullet points.
Code Debugger
Find the bug in this Python function that calculates Fibonacci numbers and explain why it fails.
Parâmetros
seed

Fixes randomness so you can get the same output for the same prompt each time.

stop

Tells the model to stop generating when it reaches a specific word or phrase.

top_p

Limits word choices to a percentage of likely options; lower values make output more predictable.

max_tokens

Sets the maximum length of the model's response in words or characters.

temperature

Controls randomness: lower values (0.1) make output more focused, higher (1.0) more creative.

Preços
$2.80 por 1M tokens de entrada
$10.00 por 1M tokens de saída

Os preços exibidos são o que você paga na Muitto. Sem surpresas.

Perguntas frequentes

What makes DeepSeek R1 different from other text models?

It focuses on step-by-step reasoning and can show its thought process.

Can DeepSeek R1 write creative stories?

It is better suited for logical tasks than creative writing.

How should I prompt DeepSeek R1 for best results?

Provide clear, specific instructions and ask for step-by-step reasoning.