目錄
DeepSeek-V3-0324（671B）現已在SiliconFlow上推出——提供在推理、寫作和數學表現上的重大改進。
增強學習提升了複雜推理任務的性能
8K標籤上下文窗口
具競爭力的價格：$0.29/M標籤（輸入），$1.15/M標籤（輸出）
DeepSeek-V3-0324保持相同的模型大小、定價和API兼容性——但在推理、寫作和數學方面取得了巨大增長。支持功能調用、JSON模式、前綴、FIM，它是一個小型版本但提供了巨大升級。
快速開始
在SiliconFlow遊樂場上嘗試DeepSeek-V3-0324。
快速訪問API
以下Python示例演示如何通過SiliconFlow的API端點調用DeepSeek-V3-0324模型。提供更詳細的API規範供開發者參考。
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針對高要求的推理和真實世界使用進行優化，準備幫助你建立更智能的工具、更好的代理和長篇助手。
立即在SiliconFlow嘗試DeepSeek-V3，看看你能創造些什麼。
準備好 加速您的人工智能開發了嗎？
準備好 加速您的人工智能開發了嗎？
準備好 加速您的人工智能開發了嗎？