DeepSeek
DeepSeek-V4-Flash
deepseek/deepseek-v4-flash/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。
- Input / output modalities
- 文本 to 文本
- Reference input / output price
- Input¥1Output¥2per 1M tokens
- Context window
- 1M
- Added to catalog
- Apr 24, 2026
Providers and pricing
| Provider | Time-based pricing (Beijing Time) | Input /M | Output /M | Cached /M | Context | Max output | Details |
|---|---|---|---|---|---|---|---|
| Other-A | — | ¥1 | ¥2 | ¥0.2 | 1M | 384K | |
| DeepSeek | Input ¥3Output ¥9Cached ¥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 code examples and API guide
Modelmesh normalizes requests and responses across service providers behind one consistent API.
Modelmesh provides an OpenAI-compatible Completion API for more than 300 models and service providers. Call it directly, through the OpenAI SDK, or with supported third-party SDKs.
Modelmesh-specific request headers in these examples are optional. When supplied, your application can appear on the Modelmesh rankings.
Supported endpointsSelect an endpoint to switch the example below.
/v1/chat/completions
from openai import OpenAI
API_KEY = "$SSY_API_KEY"
client = OpenAI(
base_url="https://router.shengsuanyun.com/api/v1",
api_key=API_KEY,
)
try:
completion = client.chat.completions.create(
model="deepseek/deepseek-v4-flash",
messages=[{"role": "user", "content": "Which number is larger, 9.11 or 9.8?"}],
temperature=0.6,
top_p=0.7,
stream=True,
)
response_text = ""
for chunk in completion:
if chunk.choices and chunk.choices[0].delta.content is not None:
content = chunk.choices[0].delta.content
print(content, end="", flush=True)
response_text += content
except Exception as error:
print(f"Request failed: {error}")
import OpenAI from "openai";
const apiKey = "$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: "Which number is larger, 9.11 or 9.8?" }],
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": "Which number is larger, 9.11 or 9.8?"}],
"temperature": 0.6,
"top_p": 0.7,
"stream": true
}'
printf '\n[chat complete]\n'
from openai import OpenAI
API_KEY = "$SSY_API_KEY"
client = OpenAI(
base_url="https://router.shengsuanyun.com/api/v1",
api_key=API_KEY,
)
response = client.completions.create(
model="deepseek/deepseek-v4-flash",
prompt="Enter your request here",
max_tokens=1024,
)
print(response.choices[0].text)
import OpenAI from "openai";
const apiKey = "$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: "Enter your request here",
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 ${API_KEY}" \
-H "Content-Type: application/json" \
--data '{"model":"deepseek/deepseek-v4-flash","prompt":"Enter your request here","max_tokens":1024}'
import requests
API_KEY = "$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": "Hello"}],
}
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: "Hello" }],
}),
});
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": "Hello"}]
}'
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