DeepSeek Chat

DeepSeek V3 combines cutting-edge AI technology with practical usability. Featuring a 671B parameter architecture, enhanced reasoning capabilities, and lightning-fast processing, it sets new standards for open-source AI models.

Playground API Pricing

API

If you're looking for an API, you can choose from your desired programming language.

POST

const axios = require('axios');

const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/deepseek-chat";

const data = {
  
  "messages": [
    {
            "role": "user",
            "content": "tell me a joke on cats"
        },
        {
            "role": "assistant",
            "content": "here is a joke about cats..."
        },
       {
            "role": "user",
            "content": "now a joke on dogs"
        }
  ]
};

(async function() {
    try {
        const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
        console.log(response.data);
    } catch (error) {
        console.error('Error:', error.response.data);
    }
})();

RESPONSE

application/json

HTTP Response Codes

200 - OKResponse Generated

401 - UnauthorizedUser authentication failed

404 - Not FoundThe requested URL does not exist

405 - Method Not AllowedThe requested HTTP method is not allowed

406 - Not AcceptableNot enough credits

500 - Server ErrorServer had some issue with processing

Attributes

messagesArray

An array of objects containing the role and content

rolestr

Could be "user", "assistant" or "system".

contentstr

A string containing the user's query or the assistant's response.

To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.

DeepSeek Chat

DeepSeek V3 represents a major advancement in open-source AI models, offering enhanced capabilities and performance. DeepSeek V3 is an open-source 671B parameter Mixture-of-Experts (MoE) model with 37B activated parameters per token. It features innovative load balancing and multi-token prediction, trained on 14.8T tokens. The model achieves state-of-the-art performance across benchmarks. It incorporates reasoning capabilities distilled from DeepSeek-R1 and supports a 128K context window.

Key Features of DeepSeek Chat

Speed Improvement: DeepSeek V3 processes 60 tokens per second, representing a 3x speed increase over its predecessor
Enhanced Capabilities: The model demonstrates improved overall performance across various tasks
Architecture: Built on a 671B Mixture-of-Experts (MoE) parameter architecture, with 37B activated parameters
Training Scale: Trained on 14.8 trillion high-quality tokens
API Compatibility: Maintains compatibility with previous versions for seamless transition
Open Source: Both the model and associated research papers are freely available to the community.