/v1/completions/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*GPT-5.6 Sol是OpenAl公司GPT-5.6系列中的旗舰模型。它适用于复杂的推理、编码及代理式工作流程， 尤其在命令行和多步骤编码任务以及长期目标问题解决方面表现尤为出色。
- 输入 / 输出模态
- 文本 · 图像 · 文件 至 文本
- 参考输入 / 输出价格
- 输入¥35输出¥210每百万 Token
- 上下文长度
- 400K
- 收录时间
- 2026年7月11日
供应通道与价格
| 供应通道 | 输入长度 | 输入 /M | 输出 /M | 缓存读取 /M | 上下文 | 最大输出 | 详情 |
|---|---|---|---|---|---|---|---|
| Azure | ≤ 272K | ¥35 | ¥210 | ¥3.5 | 400K | 128K | |
| > 272K | ¥70 | ¥315 | ¥7 |
GPT-5.6-Sol 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/completions
from openai import OpenAI
API_KEY = "$SSY_API_KEY"
client = OpenAI(
base_url="https://router.shengsuanyun.com/api/v1",
api_key=API_KEY,
)
response = client.completions.create(
model="openai/gpt-5.6-sol",
prompt="请在这里填写请求内容",
max_tokens=1024,
)
print(response.choices[0].text)
import OpenAI from "openai";
const apiKey = "$SSY_API_KEY";
const client = new OpenAI({ baseURL: "https://router.shengsuanyun.com/api/v1", apiKey });
const response = await client.completions.create({
model: "openai/gpt-5.6-sol",
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 ${API_KEY}" \
-H "Content-Type: application/json" \
--data '{"model":"openai/gpt-5.6-sol","prompt":"请在这里填写请求内容","max_tokens":1024}'
from openai import OpenAI
API_KEY = "$SSY_API_KEY"
client = OpenAI(
base_url="https://router.shengsuanyun.com/api/v1",
api_key=API_KEY,
)
try:
completion = client.chat.completions.create(
model="openai/gpt-5.6-sol",
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 = "$SSY_API_KEY";
const openai = new OpenAI({
baseURL: "https://router.shengsuanyun.com/api/v1",
apiKey,
});
async function main() {
try {
const stream = await openai.chat.completions.create({
model: "openai/gpt-5.6-sol",
messages: [{ role: "user", content: "9.11 和 9.8 哪个数更大？" }],
temperature: 0.6,
top_p: 0.7,
stream: true,
});
for await (const chunk of stream) {
const content = chunk.choices[0]?.delta?.content;
if (content) process.stdout.write(content);
}
console.log("\n[chat complete]");
} catch (error) {
const message = error instanceof Error ? error.message : String(error);
console.error("Request failed:", message);
process.exitCode = 1;
}
}
main();
#!/usr/bin/env bash
set -euo pipefail
API_KEY="$SSY_API_KEY"
BASE_URL="https://router.shengsuanyun.com/api/v1/chat/completions"
MODEL='openai/gpt-5.6-sol'
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'
import requests
API_KEY = "$SSY_API_KEY"
url = "https://router.shengsuanyun.com/api/v1/messages"
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
}
payload = {
"model": "openai/gpt-5.6-sol",
"messages": [{"role": "user", "content": "你好"}],
}
response = requests.post(url, headers=headers, json=payload, timeout=30)
response.raise_for_status()
print(response.json())
const apiKey = "$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: "openai/gpt-5.6-sol",
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='openai/gpt-5.6-sol'
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"}]
}'
from openai import OpenAI
API_KEY = "$SSY_API_KEY"
client = OpenAI(
base_url="https://router.shengsuanyun.com/api/v1",
api_key=API_KEY,
)
messages = [
{"role": "user", "content": "用100字如何描述《三国演义》。"},
]
response = client.responses.create(
model="openai/gpt-5.6-sol",
input=messages,
)
print(response.output_text)
import OpenAI from "openai";
const apiKey = "$SSY_API_KEY";
const client = new OpenAI({
baseURL: "https://router.shengsuanyun.com/api/v1",
apiKey,
});
async function main() {
const messages = [
{ role: "user", content: "用100字如何描述《三国演义》。" },
];
const response = await client.responses.create({
model: "openai/gpt-5.6-sol",
input: messages,
});
console.log(response.output_text);
}
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="$SSY_API_KEY"
MODEL='openai/gpt-5.6-sol'
BASE_URL="https://router.shengsuanyun.com/api/v1/responses"
curl --fail-with-body --silent --show-error -X POST "${BASE_URL}" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${API_KEY}" \
-d '{
"model": "'"${MODEL}"'",
"input": [
{
"role": "user",
"content": "用100字如何描述《三国演义》。"
}
]
}' | python3 -c 'import json,sys
data=json.load(sys.stdin)
text=data.get("output_text") or "".join(
part.get("text", "")
for item in data.get("output", [])
for part in item.get("content", [])
if part.get("type") == "output_text"
)
print(text)'
import requests
API_KEY = "$SSY_API_KEY"
MODEL = "openai/gpt-5.6-sol"
URL = f"https://router.shengsuanyun.com/api/v1beta/models/{MODEL}:generateContent"
messages = [
{"role": "user", "content": "9.11 和 9.8 哪个数更大？"}
]
payload = {
"contents": [
{
"role": message["role"],
"parts": [{"text": message["content"]}],
}
for message in messages
],
"generationConfig": {
"temperature": 0.6,
"topP": 0.7,
"maxOutputTokens": 1024,
},
}
headers = {
"Content-Type": "application/json",
# This endpoint uses API-key auth, not Bearer auth.
"x-goog-api-key": API_KEY,
}
# Gemini-style generateContent uses contents, so messages are mapped into contents.
response = requests.post(URL, headers=headers, json=payload, timeout=30)
response.raise_for_status()
data = response.json()
candidates = data.get("candidates") or [{}]
parts = (candidates[0].get("content") or {}).get("parts") or []
print("".join(part.get("text", "") for part in parts))
const API_KEY = "$SSY_API_KEY";
const MODEL = "openai/gpt-5.6-sol";
const url = `https://router.shengsuanyun.com/api/v1beta/models/${MODEL}:generateContent`;
const messages = [
{ role: "user", content: "9.11 和 9.8 哪个数更大？" },
];
async function main() {
const response = await fetch(url, {
method: "POST",
headers: {
"Content-Type": "application/json",
"x-goog-api-key": API_KEY,
},
body: JSON.stringify({
contents: messages.map((message) => ({
role: message.role,
parts: [{ text: message.content }],
})),
generationConfig: {
temperature: 0.6,
topP: 0.7,
maxOutputTokens: 1024,
},
}),
});
if (!response.ok) {
const text = await response.text();
throw new Error(`Request failed with status ${response.status}: ${text}`);
}
const data = await response.json();
const text = (data.candidates?.[0]?.content?.parts ?? [])
.map((part) => part.text ?? "")
.join("");
console.log(text);
}
main().catch((error) => {
const message = error instanceof Error ? error.message : String(error);
console.error("Request failed:", message);
});
#!/usr/bin/env bash
set -euo pipefail
API_KEY="$SSY_API_KEY"
MODEL='openai/gpt-5.6-sol'
BASE_URL="https://router.shengsuanyun.com/api/v1beta/models/${MODEL}:generateContent"
# This endpoint uses API-key auth, not Bearer auth.
curl --fail-with-body --silent --show-error -X POST "${BASE_URL}" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: ${API_KEY}" \
-d '{
"contents": [
{
"role": "user",
"parts": [{"text": "9.11 和 9.8 哪个数更大？"}]
}
],
"generationConfig": {
"temperature": 0.6,
"topP": 0.7,
"maxOutputTokens": 1024
}
}' | python3 -c 'import json,sys
data=json.load(sys.stdin)
candidates=data.get("candidates") or [{}]
parts=(candidates[0].get("content") or {}).get("parts") or []
print("".join(part.get("text", "") for part in parts))'
import requests
API_KEY = "$SSY_API_KEY"
MODEL = "openai/gpt-5.6-sol"
URL = f"https://router.shengsuanyun.com/api/v1/models/{MODEL}:generateContent"
messages = [
{"role": "user", "content": "9.11 和 9.8 哪个数更大？"}
]
payload = {
"contents": [
{
"role": message["role"],
"parts": [{"text": message["content"]}],
}
for message in messages
],
"generationConfig": {
"temperature": 0.6,
"topP": 0.7,
"maxOutputTokens": 1024,
},
}
headers = {
"Content-Type": "application/json",
# This endpoint uses API-key auth, not Bearer auth.
"x-goog-api-key": API_KEY,
}
# Gemini-style generateContent uses contents, so messages are mapped into contents.
response = requests.post(URL, headers=headers, json=payload, timeout=30)
response.raise_for_status()
data = response.json()
candidates = data.get("candidates") or [{}]
parts = (candidates[0].get("content") or {}).get("parts") or []
print("".join(part.get("text", "") for part in parts))
const API_KEY = "$SSY_API_KEY";
const MODEL = "openai/gpt-5.6-sol";
const url = `https://router.shengsuanyun.com/api/v1/models/${MODEL}:generateContent`;
const messages = [
{ role: "user", content: "9.11 和 9.8 哪个数更大？" },
];
async function main() {
const response = await fetch(url, {
method: "POST",
headers: {
"Content-Type": "application/json",
"x-goog-api-key": API_KEY,
},
body: JSON.stringify({
contents: messages.map((message) => ({
role: message.role,
parts: [{ text: message.content }],
})),
generationConfig: {
temperature: 0.6,
topP: 0.7,
maxOutputTokens: 1024,
},
}),
});
if (!response.ok) {
const text = await response.text();
throw new Error(`Request failed with status ${response.status}: ${text}`);
}
const data = await response.json();
const text = (data.candidates?.[0]?.content?.parts ?? [])
.map((part) => part.text ?? "")
.join("");
console.log(text);
}
main().catch((error) => {
const message = error instanceof Error ? error.message : String(error);
console.error("Request failed:", message);
});
#!/usr/bin/env bash
set -euo pipefail
API_KEY="$SSY_API_KEY"
MODEL='openai/gpt-5.6-sol'
BASE_URL="https://router.shengsuanyun.com/api/v1/models/${MODEL}:generateContent"
# This endpoint uses API-key auth, not Bearer auth.
curl --fail-with-body --silent --show-error -X POST "${BASE_URL}" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: ${API_KEY}" \
-d '{
"contents": [
{
"role": "user",
"parts": [{"text": "9.11 和 9.8 哪个数更大？"}]
}
],
"generationConfig": {
"temperature": 0.6,
"topP": 0.7,
"maxOutputTokens": 1024
}
}' | python3 -c 'import json,sys
data=json.load(sys.stdin)
candidates=data.get("candidates") or [{}]
parts=(candidates[0].get("content") or {}).get("parts") or []
print("".join(part.get("text", "") for part in parts))'
- 公开应用
- 10