A lightweight video model built for fast generation and creative iteration, ideal for marketing clips, product demos, and high-frequency content production.
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.
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
Direct provider coverage, synchronized capability, reliable routing
18 models
4 models
34 models
10 models
5 models
3 models
Popular Models
These are the most frequently compared models on the public site. Switch between text, image, and video models, then jump into a specific model guide or narrow the catalog further in `/market`.
deepseek-v4-flash
claude-opus-4-7
gpt-5.4
deepseek-v4-pro
qwen3.5-flash
gpt-5.5
gpt-5.4-nano-official
claude-opus-4-8
Keep your existing SDK and request shape. Replace Base URL and API Key to move onto a multi-model gateway.
Point your endpoint to https://toapis.com/v1.
Generate a key in the console and configure permissions.
Continue using the OpenAI SDK or any HTTP client.
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
Generate scripts, cover images, ad creatives, and social content with text, image, and video models.
Create product scenes, try-on visuals, and campaign posters while reducing shoot and outsourcing costs.
Route questions by complexity to balance experience, cost, and reliability.
Unify Claude, GPT, DeepSeek, and other code models for different engineering stacks.
Analyze filings and announcements with long-context models to produce structured research briefs.
Select models dynamically by student level, from basic Q&A to advanced coaching.
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 PricingAdvanced reading for routing, reliability, migration, and GEO citation consistency.
ToAPIs is an OpenAI-compatible aggregation API gateway for teams that need multi-model coverage, routing resilience, and predictable integration.
An aggregation API gateway exposes one stable API surface while routing traffic to multiple model providers based on capability, availability, and policy.
These short blocks answer common capability questions and map to recommended models.
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.
Transform or refine existing images with controlled edits.
Best for style transfer, localized edits, and poster redesign when source composition already exists.
Generate short video clips directly from textual instructions.
Best for storyboard drafts, concept previews, and campaign prototyping; add reference frames for stronger consistency.
Animate still images into motion video outputs.
Best for product animation, poster motion, and character movement with high dependence on source image quality.
Convert video content into transcript-like text and concise summaries.
Best for captioning, video retrieval, and knowledge archiving; chunk long videos for stable processing.
A compact matrix to map capabilities to model families and endpoint types.
| Capability | Model Examples | Endpoint |
|---|---|---|
| Chat | GPT-5 / Claude / Gemini | /v1/chat/completions |
| Image | GPT-4o Image / Gemini Image | /v1/images/* |
| Video | Veo / Sora / Kling | /v1/video/* |
| Audio | Speech / Music capable models | /v1/audio/* |
Most teams can migrate by updating base URL, API key, model mapping, and retry policies.
Pricing follows pay-as-you-go usage; quota policy is explicit per model and request type.
Reliability is achieved through smart routing, provider redundancy, and observable request paths.
Last updated: 2026-04-16
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.
Change base_url to https://toapis.com/v1 and replace API key; most SDK calls remain unchanged.
You may also ask
By multi-vendor routing, health checks, and automatic failover when one provider degrades.
You may also ask
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
Use text-to-image without source assets; use image-to-image when you need structural/style consistency from references.
You may also ask
Start free, use the market page to shortlist models, and use pricing to confirm cost and default routing strategy