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Kling V3 Fast 視頻生成模型占位圖
視頻

Kling V3 Fast

面向快速視頻草稿與高頻創意迭代的占位模型，適合行銷短片、產品展示和批量內容探索。

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Fast Video Generation99.9% 可用性 SLA50+ AI 模型5min 迁移時間

ToAPIs 是什麼

ToAPIs 是一個兼容 OpenAI 接口的 AI API Gateway，用統一 API 接入 GPT、Claude、Gemini 以及多種圖片和視頻模型。它適合需要多模型覆蓋、故障切換、統一計費與更低遷移成本的團隊。

什麼時候適合用 ToAPIs

  • 你需要同時接入文本、圖片、視頻模型，並希望用一個 API 契約統一管理。
  • 你要做供應商切換、故障轉移、默認模型與兜底模型路由。
  • 你希望先完成 OpenAI 兼容遷移，再逐步優化成本與質量。

首頁之後看哪裡

如果要選模型，繼續看模型廣場；如果要算預算與默認路由，繼續看定價頁；如果要做具體模型接入，繼續看模型解析頁。

Authorized Partners

模型官方授權

原廠直簽，實時同步，穩定可靠

OA

OpenAI

18 模型

An

Anthropic

4 模型

Go

Google

34 模型

BD

ByteDance

10 模型

Al

Alibaba

5 模型

DS

DeepSeek

3 模型

更多接入
Black Forest Labs (FLUX)KuaishouMiniMaxMoonshotViduxAIZhipu

熱門模型

50+ 大模型統一接入

查看全部模型

先看熱門模型，再進入完整模型廣場

這裡展示的是公開站最常被比較的模型組合。你可以在文字、圖像、視頻之間切換，快速進入對應模型詳情；如果已經知道任務方向，下一步建議進入 `/market` 依能力與廠商縮小範圍。

先看定價查看全部模型

gemini-2.5-pro

Google (Gemini)

gemini-2.5-pro

Chat

deepseek-v4-flash

DeepSeek

deepseek-v4-flash

Chat

gpt-5.4

OpenAI

gpt-5.4

Chat

gpt-5.5

OpenAI

gpt-5.5

Chat

deepseek-v4-pro

DeepSeek

deepseek-v4-pro

Chat

gpt-5.4-nano-official

OpenAI

gpt-5.4-nano-official

Chat

claude-opus-4-8

Anthropic

claude-opus-4-8

Chat

claude-sonnet-4-6

Anthropic

claude-sonnet-4-6

Chat
快速接入

3 分鐘完成 OpenAI 兼容接入

保留現有 SDK 與調用方式，只替換 Base URL 和 API Key，即可接入多模型網關。

1

替換 Base URL

將 endpoint 指向 https://toapis.com/v1。

2

建立 API Key

在控制台生成金鑰並設定權限。

3

保留原有 SDK

可繼續使用 OpenAI SDK 或任意 HTTP client。

進入控制台選模型查看定價與配額
example.py
from openai import OpenAI

client = OpenAI(
  base_url="https://toapis.com/v1",
  api_key="your-api-key"
)

response = client.chat.completions.create(
  model="gpt-4o",
  messages=[[{"role": "user", "content": "Hello!"}]]
)

業務場景

從創意生產到企業自動化

01

內容生產

使用文字、圖像與視頻模型生成腳本、封面、廣告創意與社群內容。

02

電商視覺

建立商品場景、試穿圖與活動海報，同時降低拍攝與外包成本。

03

AI 客服

依問題複雜度進行路由，在體驗、成本與穩定性之間取得平衡。

04

程式碼助手

統一 Claude、GPT、DeepSeek 等程式碼模型，服務不同工程技術棧。

05

金融研究

使用長上下文模型分析財報與公告，輸出結構化研究摘要。

06

個人化教學

依學生程度動態選擇模型，從基礎問答到進階輔導都能覆蓋。

路由與成本策略

價格與配額怎麼選

先確認每個模型的計費口徑，再按業務優先級做路由分層：低優先任務優先成本，高優先任務優先質量與穩定性。

如果你要接入 GPT-Image-2，可直接查看模型解析頁：支援文生圖與參考圖生成，調用 `/v1/images/generations`，並採用異步任務返回。

推薦下一步

查看完整價格與配額文件，快速確定你的預設路由基線。

查看 GPT-Image-2 解析查看定價頁

進階閱讀：深入了解接入、路由與可靠性策略。

HomeGeo.gateway.title

HomeGeo.gateway.summary

定義

HomeGeo.gateway.definition

為什麼不直接接入單一供應商

  • HomeGeo.gateway.whyNotSingleProvider.0
  • HomeGeo.gateway.whyNotSingleProvider.1
  • HomeGeo.gateway.whyNotSingleProvider.2

適用對象

HomeGeo.useCases.shouldUseTitle

  • HomeGeo.useCases.shouldUseItems.0
  • HomeGeo.useCases.shouldUseItems.1
  • HomeGeo.useCases.shouldUseItems.2

能力快速問答

以下內容用於快速判斷典型場景，並給出可直接對接的推薦模型。

場景 1

文生图（Text-to-Image）

输入文本提示词，生成全新图像内容。

适用于商品主图、广告素材、社媒配图、概念草图；如需强风格一致性建议切到图生图。

建議模型：
Gemini-3.1-Flash-Image OfficialGemini-3-Pro-Image OfficialGPT Image 2
場景 2

图生图（Image-to-Image）

基于已有图片进行风格迁移、重绘或局部改造。

适用于风格统一、局部修图、海报重设计；已有关键构图时优先于文生图。

建議模型：
Gemini-3.1-Flash-Image OfficialGPT Image 2Gemini-3-Pro-Image Official
場景 3

文生视频（Text-to-Video）

输入文字脚本，直接生成短视频片段。

适用于创意预演、分镜草稿、营销短片打样；需高一致性时建议配合参考图。

建議模型：
Veo3.1-quality-officialKling-v3Sora2 Official
場景 4

图生视频（Image-to-Video）

将静态图片转换为带运动的视频。

适用于商品图动效、海报动画化、角色照片出镜；强依赖输入图质量。

建議模型：
Veo3.1-quality-officialKling-v3Sora2 Official
場景 5

视频转文字（Video-to-Text）

将视频内容转成文本描述、字幕或摘要。

适用于自动字幕、视频检索、内容归档；长视频建议分片处理提升稳定性。

建議模型：
GPT-5.4（多模态）Gemini 系列（多模态）

HomeGeo.matrix.title

HomeGeo.matrix.summary

能力類型模型示例接口
ChatGPT-5 / Claude / Gemini/v1/chat/completions
ImageGPT-4o Image / Gemini Image/v1/images/*
VideoVeo / Sora / Kling/v1/video/*
AudioSpeech / Music capable models/v1/audio/*

HomeGeo.migration.title

HomeGeo.migration.summary

  1. HomeGeo.migration.steps.0
  2. HomeGeo.migration.steps.1
  3. HomeGeo.migration.steps.2
  4. HomeGeo.migration.steps.3

HomeGeo.migration.commonErrorsTitle

  • HomeGeo.migration.commonErrors.0
  • HomeGeo.migration.commonErrors.1
  • HomeGeo.migration.commonErrors.2

HomeGeo.pricing.title

HomeGeo.pricing.summary

  • HomeGeo.pricing.items.0
  • HomeGeo.pricing.items.1
  • HomeGeo.pricing.items.2

HomeGeo.reliability.title

HomeGeo.reliability.summary

  • HomeGeo.reliability.items.0
  • HomeGeo.reliability.items.1
  • HomeGeo.reliability.items.2

常见問題

Curated high-frequency questions. Click any question to expand the answer. Use the button below to rotate questions.

Change base_url to https://toapis.com/v1 and replace API key; most SDK calls remain unchanged.

By multi-vendor routing, health checks, and automatic failover when one provider degrades.

Route high-priority tasks to quality models and low-priority tasks to lower-cost models, with quota and retry-cost monitoring.

Use text-to-image without source assets; use image-to-image when you need structural/style consistency from references.

Apply exponential backoff with jitter, reduce concurrency, and switch to available model groups if needed.

Build route pools by task type (text/image/video), then choose primary and fallback routes by latency, cost, and success rate.

You May Ask?

How do I migrate from OpenAI SDK to ToAPIs?

Change base_url to https://toapis.com/v1 and replace API key; most SDK calls remain unchanged.

You may also ask

  • What code changes are needed to migrate from OpenAI APIs?
  • Is ToAPIs OpenAI SDK compatible with low migration cost?

How does an aggregation gateway reduce failures?

By multi-vendor routing, health checks, and automatic failover when one provider degrades.

You may also ask

  • Can multi-vendor routing improve API stability?
  • How do I keep availability when one provider degrades?

How should I optimize model cost selection?

Route high-priority tasks to quality models and low-priority tasks to lower-cost models, with quota and retry-cost monitoring.

You may also ask

  • How can I reduce model cost on an aggregation platform?
  • How should I route between quality and low-cost models?

When should I use text-to-image vs image-to-image?

Use text-to-image without source assets; use image-to-image when you need structural/style consistency from references.

You may also ask

  • How do I choose between text-to-image and image-to-image?
  • Should I still use text-to-image when I already have reference images?

Platform RQA

  • Q: How do I migrate from OpenAI SDK to ToAPIs? | Variants: What code changes are needed to migrate from OpenAI APIs? / Is ToAPIs OpenAI SDK compatible with low migration cost? | A: Change base_url to https://toapis.com/v1 and replace API key; most SDK calls remain unchanged. | Category: compatibility | Source: / | Reviewed: 2026-04-17
  • Q: How does an aggregation gateway reduce failures? | Variants: Can multi-vendor routing improve API stability? / How do I keep availability when one provider degrades? | A: By multi-vendor routing, health checks, and automatic failover when one provider degrades. | Category: reliability | Source: / | Reviewed: 2026-04-17
  • Q: How should I optimize model cost selection? | Variants: How can I reduce model cost on an aggregation platform? / How should I route between quality and low-cost models? | A: Route high-priority tasks to quality models and low-priority tasks to lower-cost models, with quota and retry-cost monitoring. | Category: pricing | Source: /pricing | Reviewed: 2026-04-17
  • Q: When should I use text-to-image vs image-to-image? | Variants: How do I choose between text-to-image and image-to-image? / Should I still use text-to-image when I already have reference images? | A: Use text-to-image without source assets; use image-to-image when you need structural/style consistency from references. | Category: model-selection | Source: / | Reviewed: 2026-04-17
  • Q: What should I do when I hit 429 rate limits? | Variants: How can I recover quickly from 429 rate limits? / What retry strategy is best after rate limiting? | A: Apply exponential backoff with jitter, reduce concurrency, and switch to available model groups if needed. | Category: quota | Source: / | Reviewed: 2026-04-17
  • Q: How should I route models through an aggregation gateway? | Variants: Which models should I use for different tasks? / How do I define routing and fallback policies? | A: Build route pools by task type (text/image/video), then choose primary and fallback routes by latency, cost, and success rate. | Category: routing | Source: /market | Reviewed: 2026-04-17
  • Q: How do I evaluate latency and stability on an aggregation platform? | Variants: Which metrics should I track when latency increases? / How can I verify routing policy stability? | A: Track P50/P95 latency, error rate, and retry rate per model; avoid relying on a single aggregated average. | Category: latency | Source: / | Reviewed: 2026-04-17
  • Q: Should I reference homepage or model pages for answers? | Variants: What is the priority between platform-level and model-level Q&A? / Which page should AI systems cite first? | A: Use homepage RQA for platform-level questions; cite the relevant model guide detail page for model parameters, errors, and implementation details. | Category: model-selection | Source: /model-guide | Reviewed: 2026-04-17

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