模型目录里包含什么？

模型目录列出支持的 AI 模型 API，包括提供方、模态、模型 ID、能力、定价和可安装的 model skill。

可以用一把 key 调用不同提供方吗？

可以。一把 RunAPI key 覆盖支持的视频、图像、音乐、音频和大模型 API。

每个提供方需要单独账户吗？

不需要——一把 RunAPI key 解锁整个模型目录。账单也是统一的。

按次或按单位计量，按月 USD 结算。失败的生成不计费。

SDK 能自部署吗？

SDK 源码和包元信息会随各语言包公开。准确许可证和自部署条款请以对应包 README 为准。

API 问题在哪里反馈？

可以在公共 GitHub 仓库提 issue，或联系 support。

模型目录

探索 238 个 AI 模型

浏览、对比并接入最优质的视频、图像、音乐、音频和文本生成 AI 模型——统一通过一个 API 调用。

获取 API Key 阅读文档

全部模型可用 · 实时定价

# Available Endpoints
POST /v1/chat/completions # LLM
POST /v1/images/generations # Image
POST /api/v1/kling/text_to_video # Video
POST /v1/audio/speech # TTS
POST /v1/audio/transcriptions # STT
POST /api/v1/suno/text_to_music # Music

const response = await fetch("https://runapi.ai/v1/chat/completions", {
  method: "POST",
  headers: { Authorization: `Bearer ${RUNAPI_API_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({ model: "your-model-id", messages: [{ role: "user", content: "Hello" }] })
})
const result = await response.json()

import os
import httpx

response = httpx.post(
    "https://runapi.ai/v1/chat/completions",
    headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
    json={"model": "your-model-id", "messages": [{"role": "user", "content": "Hello"}]}
)

<?php
$ch = curl_init("https://runapi.ai/v1/chat/completions");
curl_setopt_array($ch, [CURLOPT_POST => true, CURLOPT_RETURNTRANSFER => true,
  CURLOPT_HTTPHEADER => ["Authorization: Bearer $RUNAPI_API_KEY", "Content-Type: application/json"],
  CURLOPT_POSTFIELDS => json_encode(["model" => "your-model-id", "messages" => [["role" => "user", "content" => "Hello"]])]);
$result = json_decode(curl_exec($ch), true);

HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder(URI.create("https://runapi.ai/v1/chat/completions"))
  .header("Authorization", "Bearer " + RUNAPI_API_KEY)
  .header("Content-Type", "application/json")
  .POST(HttpRequest.BodyPublishers.ofString("{\"model\":\"your-model-id\",\"messages\":[]}")).build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());

require "net/http"
uri = URI("https://runapi.ai/v1/chat/completions")
request = Net::HTTP::Post.new(uri)
request["Authorization"] = "Bearer #{ENV.fetch('RUNAPI_API_KEY')}"
request["Content-Type"] = "application/json"
request.body = {model: "your-model-id", messages: []}.to_json

requestBody := strings.NewReader(`{"model":"your-model-id","messages":[]}`)
request, _ := http.NewRequest(http.MethodPost, "https://runapi.ai/v1/chat/completions", requestBody)
request.Header.Set("Authorization", "Bearer "+os.Getenv("RUNAPI_API_KEY"))
request.Header.Set("Content-Type", "application/json")
response, err := http.DefaultClient.Do(request)
defer response.Body.Close()

# Authenticate once
runapi login

# Inspect available models
runapi models list --modality video

# Use the selected model in your workflow
runapi models show <model-id>

一个 API，接入主流 AI 模型