DeepSeek-R1-0528 在 SiliconFlow 上

2025年5月29日

快速开始

在 SiliconFlow 模型广场上尝试 DeepSeek-R1-0528。

快速访问 API

以下 Python 示例演示了如何通过 SiliconFlow 的 API 端点调用 DeepSeek-R1-0528 模型。要查看完整的 API 规范，请参阅开发者文档。

import requests

url = "https://api.siliconflow.com/v1/chat/completions"

payload = {
    "model": "Pro/deepseek-ai/DeepSeek-R1-0528",
    "messages": [
        {
            "role": "user",
            "content": "What opportunities and challenges will the Chinese large model industry face in 2025?"
        }
    ],
    "stream": False,
    "max_tokens": 512,
    "enable_thinking": False,
    "thinking_budget": 4096,
    "min_p": 0.05,
    "stop": None,
    "temperature": 0.7,
    "top_p": 0.7,
    "top_k": 50,
    "frequency_penalty": 0.5,
    "n": 1,
    "response_format": {"type": "text"}
}

headers = {
    "Authorization": "Bearer YOUR_SILICONFLOW_API_KEY",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

import requests

url = "https://api.siliconflow.com/v1/chat/completions"

payload = {
    "model": "Pro/deepseek-ai/DeepSeek-R1-0528",
    "messages": [
        {
            "role": "user",
            "content": "What opportunities and challenges will the Chinese large model industry face in 2025?"
        }
    ],
    "stream": False,
    "max_tokens": 512,
    "enable_thinking": False,
    "thinking_budget": 4096,
    "min_p": 0.05,
    "stop": None,
    "temperature": 0.7,
    "top_p": 0.7,
    "top_k": 50,
    "frequency_penalty": 0.5,
    "n": 1,
    "response_format": {"type": "text"}
}

headers = {
    "Authorization": "Bearer YOUR_SILICONFLOW_API_KEY",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

import requests

url = "https://api.siliconflow.com/v1/chat/completions"

payload = {
    "model": "Pro/deepseek-ai/DeepSeek-R1-0528",
    "messages": [
        {
            "role": "user",
            "content": "What opportunities and challenges will the Chinese large model industry face in 2025?"
        }
    ],
    "stream": False,
    "max_tokens": 512,
    "enable_thinking": False,
    "thinking_budget": 4096,
    "min_p": 0.05,
    "stop": None,
    "temperature": 0.7,
    "top_p": 0.7,
    "top_k": 50,
    "frequency_penalty": 0.5,
    "n": 1,
    "response_format": {"type": "text"}
}

headers = {
    "Authorization": "Bearer YOUR_SILICONFLOW_API_KEY",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)