DeepSeek Coder V2

DeepSeek

Code

DeepSeek's specialized coding model. Excellent at code generation, debugging, and explanation.

Try DeepSeek Coder V2

Prompt

Language

Examples

See what DeepSeek Coder V2 can generate

Python Binary Search

Write an efficient binary search function in Python that returns the index of a target value or -1 if not found

def binary_search(arr: list[int], target: int) -> int:
    left, right = 0, len(arr) - 1
    while left <= right:
        mid = left + (right - left) // 2
        if arr[mid] == target:
            return mid
        elif arr[mid] < target:
            left = mid + 1
        else:
            right = mid - 1
    return -1

# Example usage:
# sorted_list = [1, 3, 5, 7, 9, 11, 13]
# print(binary_search(sorted_list, 7))  # Output: 3

React Custom Hook

Create a React custom hook called useDebounce that debounces a value by a given delay

import { useState, useEffect } from 'react';

function useDebounce<T>(value: T, delay: number): T {
  const [debouncedValue, setDebouncedValue] = useState<T>(value);

  useEffect(() => {
    const timer = setTimeout(() => {
      setDebouncedValue(value);
    }, delay);

    return () => {
      clearTimeout(timer);
    };
  }, [value, delay]);

  return debouncedValue;
}

export default useDebounce;

// Usage:
// const debouncedSearch = useDebounce(searchTerm, 300);

Pricing

Price per Generation

Per generationFree

API Integration

Use our OpenAI-compatible API to integrate DeepSeek Coder V2 into your application.

Install

npm install railwail

JavaScript / TypeScript

import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

// Simple — just pass a string
const reply = await rw.run("deepseek-coder-v2", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("deepseek-coder-v2", [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);

// Full response with usage info
const res = await rw.chat("deepseek-coder-v2", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);

Specifications

Context window

128,000 tokens

Max output

8,192 tokens

Avg. latency

2.0s

Developer

DeepSeek

Related Models

View all Code

Codestral

Mistral AI

Mistral's code-specialized model. Optimized for code generation, completion, and understanding across 80+ languages.

Free

Start using DeepSeek Coder V2 today

Get started with free credits. No credit card required. Access DeepSeek Coder V2 and 100+ other models through a single API.

Get Started Free Browse All Models