Use DeepSeek V4, V3, R1 & Flash with your existing OpenAI SDK
Just change base_url and api_key — that's it!
Get Free 50K Tokens →| Model | Input ($/M) | Output ($/M) | Best For |
|---|---|---|---|
| deepseek-v4 | $0.27 | $1.10 | General purpose, code, Chinese |
| deepseek-v3 | $0.27 | $1.10 | Similar to V4, alternative |
| deepseek-r1 | $0.50 | $2.00 | Complex reasoning, math |
| deepseek-v4-flash | $0.001 | $0.001 | High volume, simple tasks |
from openai import OpenAI
client = OpenAI(
api_key="sk-your-ai-token-hub-key",
base_url="https://eaf9553505eeb8f5-115-190-107-107.serveousercontent.com/v1"
)
response = client.chat.completions.create(
model="deepseek-v4",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
Works with all major LLM frameworks:
ChatOpenAI with custom base_url)OpenAI with custom api_base)model="openai/deepseek-v4")| Metric | DeepSeek V4 | GPT-4o |
|---|---|---|
| Input Price | $0.27/M | $2.50/M |
| Output Price | $1.10/M | $10.00/M |
| HumanEval (Code) | 90.2% | 88.5% |
| Chinese Understanding | ★★★★★ | ★★★★☆ |
| Context Window | 128K | 128K |