GPT-Image-2.5 image generation model showcase

OpenAI-Compatible AI API Gateway for 200+ Models

Image

GPT-Image-2.5

Faster flare for everyday, high-concurrency, and batch generation; sunburst for precise editing and high-quality creative work.

Flare / Sunburst99.9% Uptime SLA200+ AI Models5min Migration Time

What ToAPIs Is

ToAPIs is an OpenAI-compatible AI API gateway that gives teams one API surface for GPT, Claude, Gemini, and a broader set of image and video models. It is best suited to teams that need multi-model coverage, failover, unified billing, and low-friction migration.

When ToAPIs Is a Good Fit

  • Use ToAPIs when you need one API contract across text, image, and video model families.
  • It is especially useful when you need provider failover, default-model routing, and fallback-model policy.
  • It works well for teams that want a fast OpenAI-compatible migration before optimizing cost and quality.

Where To Go Next

After the homepage, move to the market page for model discovery, the pricing page for budget and routing decisions, and model guide pages for model-specific implementation details.

Authorized Partners

Official model access

Direct provider coverage, synchronized capability, reliable routing

More providers
Black Forest Labs (FLUX)KuaishouMiniMaxMoonshotViduxAIZhipu
Quick Integration

OpenAI-compatible integration in 3 minutes

Keep your existing SDK and request shape. Replace Base URL and API Key to move onto a multi-model gateway.

1

Replace Base URL

Point your endpoint to https://toapis.com/v1.

2

Create API Key

Generate a key in the console and configure permissions.

3

Keep your SDK

Continue using the OpenAI SDK or any HTTP client.

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!"}]]
)

Use Cases

AI API Use Cases

01

Content production

Generate scripts, cover images, ad creatives, and social content with text, image, and video models.

02

Commerce visuals

Create product scenes, try-on visuals, and campaign posters while reducing shoot and outsourcing costs.

03

AI customer support

Route questions by complexity to balance experience, cost, and reliability.

04

Code assistance

Unify Claude, GPT, DeepSeek, and other code models for different engineering stacks.

05

Financial research

Analyze filings and announcements with long-context models to produce structured research briefs.

06

Personalized tutoring

Select models dynamically by student level, from basic Q&A to advanced coaching.

Routing & Cost Strategy

How to Choose Pricing & Quota

Confirm billing dimensions first, then tier routing by business priority: optimize low-priority traffic for cost and critical traffic for quality and reliability.

If you need GPT-Image-2, open the model guide for its text-to-image, reference-image, and async task workflow details.

Recommended Next Step

Open the pricing guide and lock your baseline routing policy in minutes.

View GPT-Image-2 GuideView Pricing

Advanced reading for integration, routing, and reliability strategy.

What Is an Aggregation API Gateway

ToAPIs is an OpenAI-compatible aggregation API gateway for teams that need multi-model coverage, routing resilience, and predictable integration.

Definition

An aggregation API gateway exposes one stable API surface while routing traffic to multiple model providers based on capability, availability, and policy.

Why Use a Gateway Instead of a Single Provider

  • Portability: Avoid lock-in by keeping one integration contract while switching providers underneath.
  • Resilience: Fail over between providers when one endpoint degrades or rate limits.
  • Cost Control: Route workloads to the best model/price combination for each task class.

Who Should Use ToAPIs

  • Teams migrating existing OpenAI SDK workloads with minimal code changes.
  • Products that need text, image, and video APIs under a unified auth and billing model.
  • Ops teams requiring routing, observability, and graceful provider failover.

Choose a Model by Task

Match common tasks to the models we recommend for them.

Scenario 1

Text-to-Image

Generate brand-new images from text prompts.

Best for product hero images, ad creatives, social visuals, and concept drafts; switch to image-to-image for tighter style control.

Scenario 2

Image-to-Image

Transform or refine existing images with controlled edits.

Best for style transfer, localized edits, and poster redesign when source composition already exists.

Scenario 3

Text-to-Video

Generate short video clips directly from textual instructions.

Best for storyboard drafts, concept previews, and campaign prototyping; add reference frames for stronger consistency.

Scenario 4

Image-to-Video

Animate still images into motion video outputs.

Best for product animation, poster motion, and character movement with high dependence on source image quality.

Scenario 5

Video-to-Text

Convert video content into transcript-like text and concise summaries.

Best for captioning, video retrieval, and knowledge archiving; chunk long videos for stable processing.

Recommended models:
Scenario 6

Reasoning & Coding

Choose the GPT-5.6 tier that matches quality, cost, and throughput needs.

Use Sol for high-value complex work, Terra for balanced production traffic, and Luna for classification, extraction, and high-volume lightweight tasks.

Model & Capability Matrix

A compact matrix to map capabilities to model families and endpoint types.

CapabilityModel ExamplesEndpoint
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/*

OpenAI Compatibility Migration Guide (4-step)

Most teams can migrate by updating base URL, API key, model mapping, and retry policies.

  1. Set base_url to https://toapis.com/v1 and keep your current OpenAI SDK.
  2. Replace API key with ToAPIs key and validate auth headers.
  3. Map model names by capability tier (chat/image/video) and default fallbacks.
  4. Enable retries and timeout budgets for provider-level transient failures.

Common Errors & Fixes

  • 401 authentication_error: Verify API key scope and header format.
  • 429 rate_limit_exceeded: Add exponential backoff and request shaping.
  • Model not found: Use capability-safe model aliases and fallback mapping.

Pricing & Quota

Pricing follows pay-as-you-go usage; quota policy is explicit per model and request type.

  • Token-priced models: input/output metered separately with transparent ratios.
  • Request-priced models: fixed per-request cost shown in pricing references.
  • Operational guidance: monitor quota and route low-priority traffic to lower-cost models.

Reliability & Routing

Reliability is achieved through smart routing, provider redundancy, and observable request paths.

  • Routing policy supports failover when upstream provider health degrades.
  • OpenAI-compatible interface keeps client integration stable across provider switches.
  • Operational metrics and logs support troubleshooting and capacity planning.

FAQ

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

Set base_url to https://toapis.com/v1 and use your ToAPIs API key. Most OpenAI SDK calls keep working without a rewrite, in any language with an OpenAI SDK, such as Python, Node.js, Go, or Java.

ToAPIs provides 200+ text, image, video, and audio models from providers such as OpenAI, Anthropic, Google, ByteDance, Alibaba, and DeepSeek. The model market lists the current models and capabilities.

Pricing is pay-as-you-go. Token-priced models bill input and output separately, and request-priced models charge a fixed amount per request. The pricing page shows current rates; route low-priority work to lower-cost models to control spend.

Requests are routed across multiple upstream providers, with automatic failover when one degrades. Define a primary and a fallback model for each task type (text, image, video) so behavior stays predictable.

Retry with exponential backoff and jitter, reduce concurrency, and switch to an available fallback model if the limit persists.

Yes. ToAPIs offers image generation and editing models such as GPT Image and Gemini image models, and video models such as Veo, Sora, Kling, and Seedance. Video jobs run asynchronously: submit a task, then check its status to get the result.

Ready to unify your AI model access?

Start free, use the market page to shortlist models, and use pricing to confirm cost and default routing strategy