How to Get DeepSeek API Access — 2026 Complete Guide

June 10, 2026 · 6 min read · BestAPI Team

DeepSeek V3 is one of the most powerful AI models available today, matching GPT-4o on coding benchmarks at 1/6 the cost. But getting API access directly from DeepSeek requires a Chinese phone number and Alipay — a dealbreaker for international developers.

This guide shows you how to get DeepSeek API access without a Chinese phone number, using a 100% OpenAI-compatible endpoint that works with your existing code.

What Is DeepSeek V3?

DeepSeek V3 is a 671-billion parameter Mixture-of-Experts (MoE) model developed by DeepSeek AI (深度求索), a Chinese AI research company. Despite being trained with a fraction of OpenAI's budget, V3 achieves:

For most production use cases — chatbots, code generation, content writing — DeepSeek V3 delivers equivalent quality at 94% lower cost.

Pricing: DeepSeek V3 vs GPT-4o

MetricDeepSeek V3GPT-4oSavings
Input (per 1M tokens)$0.40$2.5084%
Output (per 1M tokens)$1.20$10.0088%
20 calls/day (avg)~$0.10/day~$2.00/day95%
1M API calls/month~$440~$3,25086%

Step 1: Get Your API Key (3 Minutes)

  1. Go to api.bstbst.com.cn — our admin panel
  2. Click Register — just an email and password
  3. Go to Tokens → click Generate to create your API key
  4. Copy your key (starts with sk-)
  5. Optional: Top up via credit card on the Top Up page

New accounts get free test credits — no payment required to start testing.

Step 2: Install the OpenAI Python Library

DeepSeek V3 is 100% OpenAI-compatible, so you use the standard OpenAI Python library:

pip install openai

Step 3: Make Your First API Call

Replace sk-your-key with your actual API key:

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-bestapi-key",
    base_url="https://api.bstbst.com.cn/v1"
)

response = client.chat.completions.create(
    model="deepseek-v3",
    messages=[
        {"role": "system", "content": "You are a helpful coding assistant."},
        {"role": "user", "content": "Write a Python function to find prime numbers up to N"}
    ]
)

print(response.choices[0].message.content)

Step 4: Use Streaming for Real-Time Responses

Streaming works exactly like OpenAI — just add stream=True:

stream = client.chat.completions.create(
    model="deepseek-v3",
    messages=[{"role": "user", "content": "Tell me a story about AI"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

Supported Features

Why Use BestAPI Instead of Direct DeepSeek Access?

Node.js / JavaScript Example

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: 'sk-your-bestapi-key',
    baseURL: 'https://api.bstbst.com.cn/v1'
});

const completion = await client.chat.completions.create({
    model: 'deepseek-v3',
    messages: [
        { role: 'system', content: 'You are a helpful assistant.' },
        { role: 'user', content: 'Explain the concept of API rate limiting' }
    ]
});

console.log(completion.choices[0].message.content);

Production Tips

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