/v1/chat/completions/v1/completions/v1/messagesDeepSeek-V4-Flash是深度求索公司于2026年4月24日发布的高效经济版大语言模型。它采用混合专家（MoE）架构，总参数量约2840亿，每次推理仅激活约130亿参数，并原生支持高达100万Token的超长上下文。该版本在推理能力和简单Agent任务上接近性能强大的Pro版本，但凭借更小的参数和激活规模，能提供更快捷、低成本的API服务。适合需要快速响应和追求极致性价比的各类轻量级应用场景。
- 输入 / 输出模态
- 文本 至 文本
- 参考输入 / 输出价格
- 输入¥1输出¥2每百万 Token
- 上下文长度
- 1M
- 收录时间
- 2026年4月24日
供应通道与价格
| 供应通道 | 高峰时段价格（北京时间） | 输入 /M | 输出 /M | 缓存读取 /M | 上下文 | 最大输出 | 详情 |
|---|---|---|---|---|---|---|---|
| Other-A | — | ¥1 | ¥2 | ¥0.2 | 1M | 384K | |
| DeepSeek | 输入 ¥3输出 ¥9缓存读取 ¥0.1 | ¥1.5 | ¥4.5 | ¥0.05 | 1M | 384K | |
| Ali | — | ¥1 | ¥2 | ¥0.2 | 1M | 384K | |
| Ali-three-party | — | ¥1 | ¥2 | ¥0.02 | 1M | 384K |
DeepSeek-V4-Flash 的示例代码与 API 说明
Modelmesh 会帮你在不同服务提供商之间规范化处理请求和响应，为你统一接口。
Modelmesh 提供了兼容 OpenAI 的 Completion API，可连接 300 多款模型与服务提供商，既可直接调用，也可通过 OpenAI SDK 调用。此外，还提供了一些第三方 SDK。
在以下示例中，Modelmesh 专用的请求头属于可选项。若你配置了这些请求头，你的应用就能出现在 Modelmesh 的排行榜上。
支持的接口点击接口可切换下方示例
/v1/chat/completions
from openai import OpenAI
API_KEY = "$SSY_API_KEY"
client = OpenAI(
base_url="https://router.shengsuanyun.com/api/v1",
api_key=API_KEY,
)
try:
completion = client.chat.completions.create(
model="deepseek/deepseek-v4-flash",
messages=[{"role": "user", "content": "9.11 和 9.8 哪个数更大？"}],
temperature=0.6,
top_p=0.7,
stream=True,
)
response_text = ""
for chunk in completion:
if chunk.choices and chunk.choices[0].delta.content is not None:
content = chunk.choices[0].delta.content
print(content, end="", flush=True)
response_text += content
except Exception as error:
print(f"Request failed: {error}")
import OpenAI from "openai";
const apiKey = "$SSY_API_KEY";
const openai = new OpenAI({
baseURL: "https://router.shengsuanyun.com/api/v1",
apiKey,
});
async function main() {
try {
const stream = await openai.chat.completions.create({
model: "deepseek/deepseek-v4-flash",
messages: [{ role: "user", content: "9.11 和 9.8 哪个数更大？" }],
temperature: 0.6,
top_p: 0.7,
stream: true,
});
for await (const chunk of stream) {
const content = chunk.choices[0]?.delta?.content;
if (content) process.stdout.write(content);
}
console.log("\n[chat complete]");
} catch (error) {
const message = error instanceof Error ? error.message : String(error);
console.error("Request failed:", message);
process.exitCode = 1;
}
}
main();
#!/usr/bin/env bash
set -euo pipefail
API_KEY="$SSY_API_KEY"
BASE_URL="https://router.shengsuanyun.com/api/v1/chat/completions"
MODEL='deepseek/deepseek-v4-flash'
curl --fail-with-body --silent --show-error --no-buffer -X POST "${BASE_URL}" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${API_KEY}" \
-d '{
"model": "'"${MODEL}"'",
"messages": [{"role": "user", "content": "9.11 和 9.8 哪个数更大？"}],
"temperature": 0.6,
"top_p": 0.7,
"stream": true
}'
printf '\n[chat complete]\n'
from openai import OpenAI
API_KEY = "$SSY_API_KEY"
client = OpenAI(
base_url="https://router.shengsuanyun.com/api/v1",
api_key=API_KEY,
)
response = client.completions.create(
model="deepseek/deepseek-v4-flash",
prompt="请在这里填写请求内容",
max_tokens=1024,
)
print(response.choices[0].text)
import OpenAI from "openai";
const apiKey = "$SSY_API_KEY";
const client = new OpenAI({ baseURL: "https://router.shengsuanyun.com/api/v1", apiKey });
const response = await client.completions.create({
model: "deepseek/deepseek-v4-flash",
prompt: "请在这里填写请求内容",
max_tokens: 1024,
});
console.log(response.choices[0].text);
#!/usr/bin/env bash
set -euo pipefail
API_KEY="$SSY_API_KEY"
curl --fail-with-body --silent --show-error \
"https://router.shengsuanyun.com/api/v1/completions" \
-H "Authorization: Bearer ${API_KEY}" \
-H "Content-Type: application/json" \
--data '{"model":"deepseek/deepseek-v4-flash","prompt":"请在这里填写请求内容","max_tokens":1024}'
import requests
API_KEY = "$SSY_API_KEY"
url = "https://router.shengsuanyun.com/api/v1/messages"
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
}
payload = {
"model": "deepseek/deepseek-v4-flash",
"messages": [{"role": "user", "content": "你好"}],
}
response = requests.post(url, headers=headers, json=payload, timeout=30)
response.raise_for_status()
print(response.json())
const apiKey = "$SSY_API_KEY";
async function main() {
const response = await fetch("https://router.shengsuanyun.com/api/v1/messages", {
method: "POST",
headers: {
Authorization: "Bearer " + apiKey,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "deepseek/deepseek-v4-flash",
messages: [{ role: "user", content: "你好" }],
}),
});
if (!response.ok) {
const text = await response.text();
throw new Error(`Request failed with status ${response.status}: ${text}`);
}
console.log(await response.json());
}
main().catch((error) => {
const message = error instanceof Error ? error.message : String(error);
console.error("Request failed:", message);
});
#!/usr/bin/env bash
set -euo pipefail
API_KEY="$SSY_API_KEY"
BASE_URL="https://router.shengsuanyun.com/api/v1/messages"
MODEL='deepseek/deepseek-v4-flash'
curl --fail-with-body --silent --show-error -X POST "${BASE_URL}" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${API_KEY}" \
-d '{
"model": "'"${MODEL}"'",
"messages": [{"role": "user", "content": "你好"}]
}'
- 公开应用
- 13