What is DeepSeek

DeepSeek is a large language model developed by DeepSeek (Hangzhou, China). During the 2024-2026 AI model competition, DeepSeek rose rapidly through its open-source strategy and extremely low API pricing, becoming the strongest ChatGPT alternative in China.

The current version is the V4 series, including V4 Pro (flagship) and V4 Flash (lightweight/fast).

Registering and Using the Web Version

Open chat.deepseek.com and register with a phone number or email. Chinese phone numbers are supported directly — no VPN needed.

The web version is free with rate limits. A paid membership (¥30/month) unlocks higher rates and longer context.

After registration, just type your question in the chat box. The web version supports web search, file uploads, and image recognition.

Getting an API Key

If you're a developer wanting to integrate DeepSeek into your application:

  1. Open platform.deepseek.com
  2. Register a developer account (same as web account)
  3. Go to the console, click "API Keys"
  4. Create a new API Key and copy it

New accounts typically get free credits for testing. Minimum top-up is ¥2.

V4 Pro or V4 Flash?

DimensionV4 ProV4 Flash
Input price¥2.96/M¥0.95/M
Output price¥5.92/M¥1.90/M
Context1049K1000K
ReasoningStrongModerate
SpeedSlowerFast
Best forComplex reasoning, long docs, code generationChat, simple Q&A, batch processing

Selection advice:

  • Coding, document analysis, research → V4 Pro. Noticeably better reasoning depth.
  • Agents, chatbots, data processing → V4 Flash. 3x faster, 1/3 the price.
  • Not sure → Start with V4 Pro. If quality seems sufficient, try V4 Flash.
  • Cost-sensitive → V4 Flash cache-hit pricing is just ¥0.14/M — practically free.

API Usage Examples

DeepSeek's API is fully OpenAI-compatible. If you've used OpenAI's SDK before, migration costs are near zero.

Python example:

from openai import OpenAI

client = OpenAI(
    api_key="your-deepseek-api-key",
    base_url="https://api.deepseek.com/v1"
)

response = client.chat.completions.create(
    model="deepseek-chat",  # V4 Pro
    messages=[
        {"role": "system", "content": "You are a helpful assistant"},
        {"role": "user", "content": "Explain quantum computing basics"}
    ],
    temperature=0.7,
    max_tokens=2000
)

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

To use V4 Flash, just change one line:

model="deepseek-chat-v4-flash"

Practical Tips

1. Control output style with System Prompts

DeepSeek follows system prompts closely. Specify format in the system prompt for structured output, or add "answer in one sentence" for concise responses.

2. Enable Deep Think mode

For complex reasoning tasks, enable the deep_think parameter. The model "thinks" longer, producing higher-quality output at the cost of more tokens.

3. Leverage caching

DeepSeek supports prompt caching. If your app has many requests with the same prefix (same system prompt + different user questions), the repeated prefix is cached at 1/10 the cost.

4. Web search

V4 Pro supports real-time web search. Enable it through specific API parameters.

FAQ

Q: How does DeepSeek compare to ChatGPT? The gap is small for most daily tasks. In coding and math reasoning, DeepSeek V4 Pro is near or above GPT-5.5. GPT still leads in creative writing and multilingual ability.

Q: Is my data safe? DeepSeek's privacy policy states they don't use user data for training. For maximum security, deploy the open-source version locally.

Q: Can I run it locally? Yes. DeepSeek V4 weights are available on HuggingFace. V4 Pro is large and requires multi-GPU servers. V4 Flash is lighter and runs on a single GPU.

Q: Are there rate limits? Default is 300 requests/minute. Contact support to increase.