DeepSeek V3

DeepSeek
Text & Chat

Powerful open-weight model from DeepSeek. Strong at coding, math, and Chinese/English tasks.

Examples

See what DeepSeek V3 can generate

Algorithm Explanation

Explain how a hash map works internally, including collision handling

A hash map stores key-value pairs by computing a hash of the key to determine which 'bucket' (array index) the pair belongs in. When you insert a key, the hash function converts it to an integer, which is then mapped to an index via modulo with the array size. Collisions—when two keys map to the same index—are handled through chaining (storing a linked list at each bucket) or open addressing (probing for the next empty slot). Load factor triggers resizing: when the ratio of entries to buckets exceeds a threshold (typically 0.75), the array doubles in size and all entries are rehashed.

Bilingual Task

Translate this Chinese proverb and explain its meaning: 三人行,必有我师焉

Translation: 'Among three people walking together, there must be one who can be my teacher.' This proverb comes from Confucius' Analerta (Lunyu) and conveys that everyone you meet has something valuable to teach you. It encourages humility and lifelong learning—no matter how knowledgeable you are, others possess skills, perspectives, or experiences worth learning from. It's a cornerstone of Chinese educational philosophy.

Try DeepSeek V3

0.7

Response will appear here...

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Pricing

Price per Generation
Per generationFree

API Integration

Use our OpenAI-compatible API to integrate DeepSeek V3 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-v3", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("deepseek-v3", [
  { 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-v3", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);
Specifications
Context window
64,000 tokens
Max output
8,192 tokens
Avg. latency
2.0s
Provider
DeepSeek
Category
Text & Chat
Tags
affordable
coding
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