text·image
Deepseek Flash
silvamux/
deepseek-flashDeepSeek Flash是DeepSeek的轻量高性价比模型,擅长知识检索、长文档处理与内容审核,适合企业知识库问答、文档分析和信息抽取等知识密集型场景。
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 Flash 综合得分 78,整体表现良好,是一款定位轻量却颇具性价比的模型。信息检索 / RAG(88%)、长文本处理(84%)与幻觉控制(84%)表现突出,能够从多来源资料中快速定位关键信息、组织证据并生成有据可循的回答,长文档问答中也能保持上下文一致、较少虚构内容,在企业知识库问答、文档分析与内容审核等场景中表现出色。相对而言,代码生成(67%)与指令遵循偏弱,面对复杂代码开发或格式严格的结构化输出任务时能力有限。知识密集型应用的高性价比之选。
78/ 100
专项进阶能力
8 items数学与科学推理78%
14 questions · 主/客观混合
代码生成67%
12 questions · 客观
代码理解与调试72%
6 questions · 主观
长文本处理84%
16 questions · 主观
智能体协同77%
18 questions · 主/客观混合
创意写作73%
22 questions · 主观
多语言能力82%
11 questions · 主观
信息检索 / RAG88%
9 questions · 主/客观混合
通用基础能力
3 items通识知识83%
10 questions · 主/客观混合
文本理解81%
23 questions · 主观
逻辑推理72%
16 questions · 主/客观混合
安全与合规能力
2 items幻觉控制84%
15 questions · 主观
指令遵循71%
18 questions · 主观
Performance
Deepseek Flash
deepseek-flashLast 24 hours · 61,677 requests
- First token · TTFT · P50
- 993ms P95 1642 ms
- Output speed · TPS · P50
- 85tok/s P95 93 tok/s
- Full response · E2E · P50
- 5.05s P95 5.61 s
- Request success rate
- 99.42% 61,320 completed requests
24-hour availability
24 hours ago12 hours agoNow
Deepseek Flash example code and API
Pro
deepseek-flash/api/v0/chat/completions/api/v1/responses/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-flash",
"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-flash",
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-flash\",\"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-flash',
messages: [{ role: 'user', content: 'Hello, please introduce yourself' }],
})
console.log(response.choices[0].message.content)