DeepSeek V3.1

DeepSeek V3.1 is a powerful reasoning model that offers exceptional performance at a competitive price point, with an optional enhanced thinking mode for complex problems.

Overview

What It's Best For

• 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.

Connection Color: 🟡 Yellow

Configuration

Thinking Mode

Type: Select

Enable enhanced reasoning for complex problems.

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
Connection Color: 🟡 Yellow

Use Cases

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?

Tips for Best Results

1. Use low temperature — DeepSeek works well with deterministic settings
2. Enable thinking for complex tasks — Worth the extra processing time
3. Be structured — Clear, organized prompts yield better results
4. Leverage for technical work — Excellent code and data handling
5. Iterate quickly — Low cost allows more experimentation

Cost Comparison

DeepSeek V3.1 offers the best value for text-only tasks that don't require vision capabilities.

Related Models

• Llama 3 8B — Even cheaper for simple tasks
• Llama 3 70B — More powerful, slightly higher cost
• GPT-5 — Premium option with vision