目录
DeepSeek-V3-0324（671B）现在在SiliconFlow上线——在推理、写作和数学性能方面提供了重大改进。
强化学习提升了复杂推理任务的性能
8K token上下文窗口
有竞争力的价格：0.29$/百万tokens（input），1.15$/百万tokens（output）
DeepSeek-V3-0324保持了相同的模型大小、定价和API兼容性——但在推理、写作和数学方面带来了重大提升。支持函数调用、JSON Mode、前缀、FIM，这是一个小版本却提供了大的升级。
快速开始
在SiliconFlow模型广场上试试DeepSeek-V3-0324。
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-V3-0324模型。为开发者提供更详细的API规格。
from openai import OpenAI url = 'https://api.siliconflow.com/v1/' api_key = 'your api_key' client = OpenAI( base_url=url, api_key=api_key ) # Send a request with streaming output content = "" reasoning_content = "" messages = [ {"role": "user", "content": "Prove the Pythagorean theorem and provide a simple example."} ] response = client.chat.completions.create( model="deepseek-ai/DeepSeek-V3", messages=messages, stream=True, # Enable streaming output max_tokens=4096, extra_body={ "thinking_budget": 1024 } ) # Gradually receive and process the response for chunk in response: if chunk.choices[0].delta.content: content += chunk.choices[0].delta.content if chunk.choices[0].delta.reasoning_content: reasoning_content += chunk.choices[0].delta.reasoning_content # Round 2 messages.append({"role": "assistant", "content": content}) messages.append({'role': 'user', 'content': "Continue"}) response = client.chat.completions.create( model="deepseek-ai/DeepSeek-V3", messages=messages, stream=True )
from openai import OpenAI url = 'https://api.siliconflow.com/v1/' api_key = 'your api_key' client = OpenAI( base_url=url, api_key=api_key ) # Send a request with streaming output content = "" reasoning_content = "" messages = [ {"role": "user", "content": "Prove the Pythagorean theorem and provide a simple example."} ] response = client.chat.completions.create( model="deepseek-ai/DeepSeek-V3", messages=messages, stream=True, # Enable streaming output max_tokens=4096, extra_body={ "thinking_budget": 1024 } ) # Gradually receive and process the response for chunk in response: if chunk.choices[0].delta.content: content += chunk.choices[0].delta.content if chunk.choices[0].delta.reasoning_content: reasoning_content += chunk.choices[0].delta.reasoning_content # Round 2 messages.append({"role": "assistant", "content": content}) messages.append({'role': 'user', 'content': "Continue"}) response = client.chat.completions.create( model="deepseek-ai/DeepSeek-V3", messages=messages, stream=True )
from openai import OpenAI url = 'https://api.siliconflow.com/v1/' api_key = 'your api_key' client = OpenAI( base_url=url, api_key=api_key ) # Send a request with streaming output content = "" reasoning_content = "" messages = [ {"role": "user", "content": "Prove the Pythagorean theorem and provide a simple example."} ] response = client.chat.completions.create( model="deepseek-ai/DeepSeek-V3", messages=messages, stream=True, # Enable streaming output max_tokens=4096, extra_body={ "thinking_budget": 1024 } ) # Gradually receive and process the response for chunk in response: if chunk.choices[0].delta.content: content += chunk.choices[0].delta.content if chunk.choices[0].delta.reasoning_content: reasoning_content += chunk.choices[0].delta.reasoning_content # Round 2 messages.append({"role": "assistant", "content": content}) messages.append({'role': 'user', 'content': "Continue"}) response = client.chat.completions.create( model="deepseek-ai/DeepSeek-V3", messages=messages, stream=True )
DeepSeek-V3-0324经过优化，可应对严苛的推理和现实应用，准备好帮助您构建更智能的工具、更好的代理和长篇助手。
现在就在SiliconFlow上试用DeepSeek-V3，看看您能创造什么。
