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Deepseek V4 Pro
silvamux/
deepseek-v4-proDeepSeek V4 Pro面向代码编写、重构与开发辅助提供稳定的模型能力,优势集中在代码生成和文本理解。适合需要兼顾任务理解与结果质量的产品和研发团队。
Pricing
Tune and Pro share the same prices.
| Input context | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| - | ¥2 / 1M tokens | ¥8 / 1M tokens | ¥0.04 / 1M tokens | ¥2 / 1M tokens |
Capabilities
DeepSeek V4 Pro 综合得分 73,整体表现良好,是一款推理与多语言能力见长的模型。数学与科学推理(94%)、多语言能力(87%)与智能体协同(83%)表现突出,数值分析严谨、跨语言处理稳定且具备一定工具编排能力,在数据分析与多语言翻译场景中优势明显。相对而言,代码理解与调试(41%)明显不足,复杂代码任务能力有限。价值主要体现在推理与多语言类任务上。
73/ 100
专项进阶能力
8 items数学与科学推理94%
14 questions · 主/客观混合
代码生成66%
12 questions · 客观
代码理解与调试41%
6 questions · 主观
长文本处理73%
16 questions · 主观
智能体协同83%
18 questions · 主/客观混合
创意写作64%
22 questions · 主观
多语言能力87%
11 questions · 主观
信息检索 / RAG74%
9 questions · 主/客观混合
通用基础能力
3 items通识知识79%
10 questions · 主/客观混合
文本理解73%
23 questions · 主观
逻辑推理70%
16 questions · 主/客观混合
安全与合规能力
2 items幻觉控制79%
15 questions · 主观
指令遵循69%
18 questions · 主观
Performance
Deepseek V4 Pro Tune
deepseek-v4-pro@tuneLast 24 hours · 165,342 requests
- First token · TTFT · P50
- 2406ms P95 2425 ms
- Output speed · TPS · P50
- 68tok/s P95 100 tok/s
- Full response · E2E · P50
- 5.11s P95 6.25 s
- Request success rate
- 97.29% 160,863 completed requests
24-hour availability
24 hours ago12 hours agoNow
Deepseek V4 Pro
deepseek-v4-proLast 24 hours · 181,147 requests
- First token · TTFT · P50
- 2354ms P95 2493 ms
- Output speed · TPS · P50
- 36tok/s P95 91 tok/s
- Full response · E2E · P50
- 6.27s P95 9.50 s
- Request success rate
- 99.52% 180,269 completed requests
24-hour availability
24 hours ago12 hours agoNow
Deepseek V4 Pro example code and API
Tune
deepseek-v4-pro@tune/api/v0/chat/completions/api/v1/chat/completions/api/anthropic/v1/messagesPro
deepseek-v4-pro/api/v0/chat/completions/api/v1/chat/completions/api/anthropic/v1/messagescurl https://www.silvamux.com/api/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-pro",
"messages": [{"role": "user", "content": "Hello, please introduce yourself"}]
}'# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://www.silvamux.com/api/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="deepseek-v4-pro",
messages=[
{"role": "user", "content": "Hello, please introduce yourself"}
],
)
print(response.choices[0].message.content)// Gradle: implementation(__HL_SLOT_0__)
import okhttp3.*;
OkHttpClient client = new OkHttpClient();
MediaType json = MediaType.get("application/json");
String payload = "{\"model\":\"deepseek-v4-pro\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello, please introduce yourself\"}]}";
Request request = new Request.Builder()
.url("https://www.silvamux.com/api/v1/chat/completions")
.header("Authorization", "Bearer YOUR_API_KEY")
.post(RequestBody.create(payload, json))
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}// npm install openai
import OpenAI from 'openai'
const client = new OpenAI({
baseURL: 'https://www.silvamux.com/api/v1',
apiKey: 'YOUR_API_KEY',
})
const response = await client.chat.completions.create({
model: 'deepseek-v4-pro',
messages: [{ role: 'user', content: 'Hello, please introduce yourself' }],
})
console.log(response.choices[0].message.content)