DeepSeek V3.1
DeepSeek V3.1 é a powerful reasoning model that offers exceptional performance at a competitive price point, com an optional enhanced thinking mode for complex problems.
Visão geral
| Propriedade | Valor |
|---|---|
| Provider | DeepSeek |
| Custo | 10 credits |
| Modalidade | Text |
| Vision | ❌ No |
| Prompt obrigatório | Yes |
Para que é melhor
- Cost-effective reasoning — Quality results at half the price of premium models
- Technical tasks — Code generation, debugging, and analysis
- Structured outputs — JSON, tables, and formatted data
- General assistance — Versatile across many use cases
- Enhanced reasoning — Optional thinking mode for complex problems
Inputs
Prompt (Required)
The main text input describing what you want the model to do.
Cor da conexão: 🟡 Yellow
Configuração
Thinking Mode
Type: Select
Enable enhanced reasoning for complex problems.
| Option | Description |
|---|---|
| None | Standard fast responses |
| Medium (Enhanced Reasoning) | Deeper analysis, step-by-step thinking |
Default: None
When to use Medium:
- Multi-step math problems
- Complex logic puzzles
- Detailed code analysis
- Strategic planning tasks
Max Tokens
Type: Slider
Range: 1 - 4,096
Default: 1,024
Maximum number of tokens to generate.
Temperature
Type: Slider
Range: 0 - 2
Default: 0.1
Controls output randomness. The low default (0.1) makes DeepSeek more deterministic by default.
Top P
Type: Slider
Range: 0 - 1
Default: 1
Nucleus sampling parameter for response diversity.
Presence Penalty
Type: Slider
Range: -2 to 2
Default: 0
Penalizes tokens based on whether they appear in the text so far. Positive values encourage new topics.
Frequency Penalty
Type: Slider
Range: -2 to 2
Default: 0
Penalizes tokens based on their frequency. Positive values reduce repetition.
Output
Type: Text
Cor da conexão: 🟡 Yellow
Casos de uso
Code Generation
Write a Python function that validates email addresses using regex.
Include error handling and docstrings.
Data Transformation
Convert this CSV data into a properly formatted JSON structure
with nested objects for related fields.
Technical Documentation
Write API documentation for this endpoint including request/response
examples, error codes, and rate limiting information.
Enhanced Reasoning Task
With Thinking Mode: Medium
A company has three products. Product A costs $10 and sells 100 units.
Product B costs $15 and sells 80 units. Product C costs $20 and sells 50 units.
If they want to increase total revenue by 20% while keeping prices fixed,
what's the minimum increase in units needed for each product?
Dicas para melhores resultados
- Use low temperature — DeepSeek works well com deterministic settings
- Enable thinking for complex tasks — Worth the extra processing time
- Be structured — Clear, organized prompts yield better results
- Leverage for technical work — Excellent code and data handling
- Iterate quickly — Low cost allows more experimentation
Cost Comparison
| Model | Cost | Best For |
|---|---|---|
| Llama 3 8B | 2 credits | Simple tasks |
| DeepSeek V3.1 | 10 credits | Balanced performance |
| Gemini 2.5 Flash | 10 credits | Multimodal tasks |
| GPT-5 | 20 credits | Maximum quality |
| Claude 4.5 Sonnet | 30 credits | Long-form writing |
DeepSeek V3.1 offers the best value for text-only tasks that don't require vision capabilities.
Modelos relacionados
- Llama 3 8B — Even cheaper for simple tasks
- Llama 3 70B — More powerful, slightly higher cost
- GPT-5 — Premium option com vision