DeepSeek v3.1 Terminus
DeepSeek V3.1 Terminus: precision text generation.
A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.
- Janela de contexto (tokens)
- 163.840
- Inteligência
- 14.8
- Código
- 43.5
- Velocidade
- —–
- Custo/tarefa
- $0.025
DeepSeek V3.1 Terminus is a state-of-the-art text model optimized for a wide range of language tasks. It excels at generating detailed narratives, summarizing complex information, and engaging in thoughtful dialogue. The model is trained on diverse data to ensure versatility and reliability.
Use this model when you need high-quality text output for projects like blog posts, scripts, or research summaries. Its ability to follow instructions closely makes it ideal for structured tasks like outlining or editing.
What sets DeepSeek V3.1 Terminus apart is its balance of creativity and precision. It can produce imaginative stories while maintaining factual accuracy, making it a reliable tool for both artistic and professional use.
- Creative writing and storytelling
- Summarizing long documents
- Generating marketing copy
- Brainstorming ideas and outlines
- Answering questions with explanations
Adapts easily from formal reports to casual dialogue.
Executes complex multi-step requests accurately.
Maintains context and consistency over extended text.
- Provide clear context and examples for best results.
- Break complex tasks into smaller steps.
- Use temperature settings to balance creativity and focus.
- Review and edit output for factual accuracy.
- May produce plausible but incorrect facts.
- Can be overly verbose in simple tasks.
- Struggles with highly specialized niche jargon.
Describe a sunset over the ocean using vivid imagery and metaphor.
Create a detailed backstory for a fantasy knight who was once a thief.
Write a persuasive paragraph arguing for the benefits of remote work.
Fixes randomness for reproducible results when set to a specific number.
Limits token selection to a cumulative probability, balancing diversity and coherence.
Sets the maximum length of the generated response.
Controls randomness: lower values make output more focused, higher values more creative.
Encourages new topics by penalizing tokens already used.
Reduces repetition by penalizing frequent tokens.
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Can DeepSeek V3.1 Terminus write in different languages?
Yes, it supports multiple languages, though performance is strongest in English.
How long can the generated text be?
It can produce up to several thousand words in a single response.
Does this model remember previous conversations?
It can maintain context within a session, but does not have persistent memory.