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deepseek
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DeepSeek v3.1

DeepSeek V3.1: powerful text generation and reasoning.

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

Janela de contexto (tokens)
128.000
Sobre este modelo

DeepSeek V3.1 is a state-of-the-art text model designed for a wide range of language tasks. It understands nuanced instructions and can produce detailed, creative, or technical content on demand.

Use this model when you need to draft articles, summarize documents, generate code, or engage in thoughtful dialogue. It handles everything from casual conversation to structured problem-solving.

What sets DeepSeek V3.1 apart is its strong reasoning ability and efficient performance, making it a reliable choice for both simple and complex text generation without unnecessary complexity.

Melhores casos de uso
  • Creative writing and storytelling
  • Code generation and debugging
  • Summarizing long documents
  • Brainstorming ideas and outlines
  • Answering questions with explanations
Pontos fortes
Coherent reasoning

Produces logical, step-by-step explanations for complex problems.

Versatile writing

Adapts tone and style from formal reports to casual dialogue.

Efficient generation

Delivers fast, high-quality responses for most text tasks.

Dicas
  • Be specific in your prompts to get the most relevant responses.
  • Use step-by-step instructions for complex reasoning tasks.
  • Experiment with temperature to balance creativity and focus.
  • Provide examples in your prompt to guide the output style.
Limitações
  • May produce plausible but incorrect facts (hallucination).
  • Struggles with very long, highly specialized domain knowledge.
  • Can be sensitive to prompt phrasing, requiring clear instructions.
Exemplos de geração
Exemplo em breve
Poetic description

Describe a sunset over the ocean in the style of a romantic poet.

Exemplo em breve
Business proposal

Write a one-page business proposal for a sustainable fashion startup.

Exemplo em breve
Technical tutorial

Create a step-by-step tutorial on setting up a REST API with Flask.

Prompts de exemplo
Write a short story
Write a 200-word story about a robot learning to paint.
Explain a concept
Explain quantum computing in simple terms for a 10-year-old.
Debug code
Find the bug in this Python function that calculates factorial.
Parâmetros
seed

A number that sets the random generator for reproducible outputs; same seed + same prompt gives same result.

top_p

Nucleus sampling: limits the pool of possible words to those with cumulative probability above this threshold (e.g., 0.9).

max_tokens

Maximum number of tokens (words/punctuation) the model can generate in one response.

temperature

Controls randomness: lower values (e.g., 0.2) make output more focused, higher (e.g., 0.8) more creative.

presence_penalty

Encourages the model to talk about new topics by penalizing tokens that have appeared so far.

frequency_penalty

Reduces repetition by penalizing tokens that have already appeared in the text.

Preços
$1.00 por 1M tokens de entrada
$3.80 por 1M tokens de saída

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

Perguntas frequentes

What can DeepSeek V3.1 help me with?

It helps with writing, coding, brainstorming, and answering questions.

Is DeepSeek V3.1 good for creative tasks?

Yes, it can generate stories, poems, and marketing copy with the right prompts.

How do I get the best results from this model?

Use clear, detailed prompts and adjust parameters like temperature for your desired output.