Flagship intelligence,
at a small model’s cost

from openai import OpenAI

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

response = client.chat.completions.create(
    model="deepseek-flash",
    messages=[
        {"role": "system", "content": "You are a technical assistant. Answer concisely."},
        {"role": "user", "content": "Summarize the advantages of the asymmetric architecture."},
    ],
    stream=False,
)

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

from anthropic import Anthropic

client = Anthropic(
    api_key="sk-...",
    base_url="https://api.deepseek.com/anthropic",
)

message = client.messages.create(
    model="deepseek-flash",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Write a Python function that checks whether a number is prime."}
    ],
)

print(message.content[0].text)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.DEEPSEEK_API_KEY,
  baseURL: "https://api.deepseek.com",
});

const response = await client.chat.completions.create({
  model: "deepseek-flash",
  messages: [
    { role: "system", content: "You are a technical assistant. Answer concisely." },
    { role: "user", content: "Compare Flash's KV cache with the previous generation." },
  ],
});

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

from openai import OpenAI

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

response = client.chat.completions.create(
    model="deepseek-flash",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Extract every number from this chart."},
                {
                    "type": "image_url",
                    "image_url": {"url": "https://example.com/chart.png"},
                },
            ],
        }
    ],
)

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