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Deepseek V4 Flash
silvamux/
deepseek-v4-flashDeepSeek V4 Flash是一款侧重信息检索/RAG的模型,在文本理解方面也有较好表现。它适合处理企业知识检索、资料问答与检索增强生成,可作为相关业务流程中的理解、推理或生成能力底座。
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 Flash 综合得分 79,整体表现良好,是一款高效的知识处理模型。信息检索 / RAG(94%)、数学与科学推理(93%)与代码生成(90%)表现突出,能从大量资料中快速定位信息并进行准确分析,在企业知识库与信息检索场景中优势明显。相对而言,智能体协同(45%)较弱,多步骤工具编排能力一般。知识密集型高频任务最能体现它的效率价值。
79/ 100
专项进阶能力
8 items智能体协同45%
7 questions · 主/客观混合
代码生成90%
10 questions · 客观
代码理解与调试81%
12 questions · 主观
创意写作79%
17 questions · 主观
信息检索 / RAG94%
13 questions · 主/客观混合
长文本处理65%
3 questions · 主观
数学与科学推理93%
14 questions · 客观
多语言能力89%
10 questions · 主/客观混合
通用基础能力
3 items通识知识69%
15 questions · 主/客观混合
文本理解88%
5 questions · 主观
逻辑推理76%
20 questions · 主/客观混合
安全与合规能力
2 items幻觉控制79%
9 questions · 主观
指令遵循75%
14 questions · 主观
Performance
Deepseek V4 Flash Tune
deepseek-v4-flash@tuneLast 24 hours · 19,979 requests
- First token · TTFT · P50
- 1868ms P95 1980 ms
- Output speed · TPS · P50
- 99tok/s P95 100 tok/s
- Full response · E2E · P50
- 7.07s P95 8.60 s
- Request success rate
- 99.32% 19,844 completed requests
24-hour availability
24 hours ago12 hours agoNow
Deepseek V4 Flash example code and API
Tune
deepseek-v4-flash@tune/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-flash@tune",
"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-flash@tune",
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-flash@tune\",\"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-flash@tune',
messages: [{ role: 'user', content: 'Hello, please introduce yourself' }],
})
console.log(response.choices[0].message.content)