Pilot 派诺信息星模XModel
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Pilot 派诺信息星模XModel

模型选择、预算、BYOK、用量报表。

产品

模型市场榜单价格

工具

成本计算器迁移检测价格对比账单分析凭证验证

接入文档

快速开始OpenAI 迁移计费

法务

隐私政策服务条款退款政策

参考资源

低价 LLM APIOpenRouter 替代方案
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文档

通过星模XModel 网关接入

配置 base_url、API Key 和模型 ID 后,即可通过 OpenAI 兼容接口调用已发布模型。

快速开始认证Chat Completions流式输出模型错误计费OpenAI 迁移

按模型家族选择调用路由

星模XModel 对外提供统一 API 网关,但不是所有模型都使用 Chat Completions。Chat、图像、语音、Embedding、Rerank、Realtime 都有各自的公开路由;写代码前先按模型页的 endpoint kind 选择调用方式。

Python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://modelxing.com/v1"
)

resp = client.chat.completions.create(
    model="qwen/qwen3-max",
    messages=[{"role": "user", "content": "Hello from 星模XModel"}]
)

print(resp.choices[0].message.content)
Node
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.NEXTMODEL_API_KEY,
  baseURL: "https://modelxing.com/v1",
});

const response = await client.chat.completions.create({
  model: "qwen/qwen3-max",
  messages: [{ role: "user", content: "Hello from 星模XModel" }],
});

console.log(response.choices[0].message.content);
curl
curl https://modelxing.com/v1/chat/completions \
  -H "Authorization: Bearer $NEXTMODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-max",
    "messages": [{"role": "user", "content": "Hello from 星模XModel"}]
  }'

按家族查看调用形态

公开示例必须使用对应模型家族的路由。视频生成、图生视频、语音驱动视频模型当前没有公开网关路由;如果出现在目录里,只能用于选型和规划,不能渲染 Chat 示例。

Chat
from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://modelxing.com/v1")

resp = client.chat.completions.create(
    model="qwen/qwen3-max",
    messages=[{"role": "user", "content": "Hello from XModel"}],
)

print(resp.choices[0].message.content)
图像生成
from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://modelxing.com/v1")

resp = client.images.generate(
    model="qwen-image-max",
    prompt="A minimal blue circle icon on a white background",
    size="1024x1024",
    n=1,
)

print(resp)
语音合成
import time
import requests

resp = requests.post(
    "https://modelxing.com/v1/audio/speech",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={"model": "qwen3-tts-instruct-flash", "voice": "Cherry", "input": "Hello from XModel", "response_format": "wav"},
)

if resp.status_code == 200:
    # Short text — audio returned directly
    with open("output.wav", "wb") as f:
        f.write(resp.content)
else:
    # Long text — job submitted (202), poll until done
    job_id = resp.json()["id"]
    while True:
        poll = requests.get(
            f"https://modelxing.com/v1/audio/speech/jobs/{job_id}",
            headers={"Authorization": "Bearer YOUR_API_KEY"},
        ).json()
        if poll["status"] == "succeeded":
            print("Audio ready:", poll["audio"]["url"])
            break
        elif poll["status"] == "failed":
            print("Job failed:", poll["error"])
            break
        time.sleep(3)
语音识别
curl https://modelxing.com/v1/audio/transcriptions \
  -H "Authorization: Bearer $NEXTMODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"paraformer-v2","file_url":"https://example.com/audio.wav"}'
Embedding
from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://modelxing.com/v1")

resp = client.embeddings.create(
    model="text-embedding-v4",
    input=["Hello from XModel"],
)

print(resp.data[0].embedding[:8])
Rerank
curl https://modelxing.com/v1/rerank \
  -H "Authorization: Bearer $NEXTMODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen3-vl-rerank","query":"best GPU for inference","documents":["A fast GPU document","A storage document"],"top_n":2}'
Realtime
curl https://modelxing.com/v1/realtime \
  -H "Authorization: Bearer $NEXTMODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen3.5-omni-plus-realtime","modalities":["text"]}'
chat_text / omni_http_chat/v1/chat/completions
image_generation / wan_image_generation_async/v1/images/generations
image_edit / wan_image_edit_async / image_translate_async/v1/images/edits
tts_http/v1/audio/speech
asr_openai_audio / asr_filetrans_async / fun_asr_filetrans_async/v1/audio/transcriptions
embedding_text_native / embedding_multimodal_native/v1/embeddings
rerank_native/v1/rerank
websocket_realtime / websocket_asr_realtime/v1/realtime
video_generation_async / image_to_video_async / speech_to_video_async暂未开放公开调用

迁移时改什么

家族支持 OpenAI SDK 方法时,可以保留 SDK 并替换服务地址和密钥;Rerank、Realtime 会话、语音资产等原生公开路由需要直接请求对应路径。提供方密钥、路由和计费配置由平台管理。

base_urlhttps://modelxing.com/v1
chat endpoint/chat/completions
非 Chat 路由/images/*、/audio/*、/embeddings、/rerank、/realtime
authAuthorization: Bearer $NEXTMODEL_API_KEY
model使用模型目录中的 ID,例如 qwen/qwen3-max
全部文档模型目录成本估算