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Measured on six things
OpenAI-compatible AI API gateway for 200+ text, image, video and audio models with unified billing and one API key.
Security
52HTTPS enforced with SPF, DMARC, frame protection and nosniff, but no HSTS, CSP, Referrer-Policy or Permissions-Policy — 6/12 on the header checklist. No published SOC 2, ISO or bug bounty found.
Screenshots
1 / 1
About this app
ToAPIs is an OpenAI-compatible AI API gateway that gives developers a single API surface to access over 200 text, image, video, and audio models from providers like OpenAI, Anthropic, Google, ByteDance, Alibaba, and DeepSeek. The core value proposition is simple: keep your existing OpenAI SDK, swap the base URL to https://toapis.com/v1, and you're instantly routing requests across multiple model families without rewriting code. I found the migration story particularly compelling—most teams can be up and running in about five minutes, which is rare for aggregation platforms. The gateway handles provider failover automatically, so if one upstream endpoint degrades or rate-limits you, requests can route to a fallback model you've predefined. Billing is unified and pay-as-you-go, with token-priced models metering input and output separately and request-priced models charging a fixed amount per call. The model marketplace is well-organized by capability—text, image, video—and includes po...
Key features
- 1OpenAI-compatible gateway: swap base URL to https://toapis.com/v1 and keep your existing SDK.
- 2200+ models across text, image, video and audio from OpenAI, Anthropic, Google, ByteDance, Alibaba, DeepSeek and more.
- 3Automatic provider failover with default-model routing and fallback-model policy.
- 4Unified pay-as-you-go billing with separate token-, request- and duration-based pricing units.
Target customer profile
Drawn from the product itself, not from a survey.
Demographic
Development teams already using OpenAI SDKs
Pain points
Vendor lock-in, rewriting integration code for each new model
Primary needs
Drop-in OpenAI compatibility, minimal migration effort, stable API contract
Demographic
Product teams building multi-modal AI features
Pain points
Managing separate billing and auth across text, image, and video providers
Primary needs
Unified billing, single API key, access to diverse model families
Demographic
Ops and platform engineers running production AI workloads
Pain points
Provider outages, rate limits, lack of failover visibility
Primary needs
Automatic failover, routing policies, observability and logs
Demographic
Startups and agencies optimizing AI spend
Pain points
Unpredictable costs, no easy way to route low-priority traffic to cheaper models
Primary needs
Pay-as-you-go pricing, cost-aware routing, transparent quotas
Scout Review
Written by AI from measured evidence, scored out of 100.
ToAPIs is a competent OpenAI-compatible gateway with a real, specific pitch: swap the base URL, keep your SDK, route across 200+ text, image and video models with failover and unified billing. The migration story is the best thing about it — three steps, a real code snippet, five-minute claim. Speed is solid (Lighthouse 82 mobile), pricing is transparent with 190 models and clear billing units. The cracks are in polish and hardening: five of eight model cards ship with empty thumbnails, Chinese subtitles leak into the English UI, security headers sit at 6/12 with no CSP or HSTS, and there's no published compliance or bug bounty evidence. Against OpenRouter, Fal.ai, Replicate and Kie.ai, ToAPIs is on par on capability and behind on brand maturity and trust signals. Worth a look for teams that need multimodal coverage in one contract; not yet the obvious default.
Measure by measure
Usability
64The 3-step base-URL swap and real Python snippet make migration genuinely legible, and pricing exposes 190 models with clear billing units. But the homepage sprawls across competing nav routes with no single primary path.
Design
57Coherent orange-on-cream brand and a sharp code snippet, but the model grid ships with five empty thumbnails and mismatched art styles. Chinese subtitles in an English UI read as unfinished.
Speed
70Lighthouse mobile 82/100 (LCP 2.8s, CLS 0.021, TBT 320ms) and desktop 81/100. Solid, snappy lab numbers with no lag complaints in the collected evidence.
Security
52HTTPS enforced with SPF, DMARC, frame protection and nosniff, but no HSTS, CSP, Referrer-Policy or Permissions-Policy — 6/12 on the header checklist. No published SOC 2, ISO or bug bounty found.
Accessibility
68Lighthouse a11y 91/100, but four real failures: insufficient contrast, non-sequential headings, small touch targets, and mismatched accessible names. No WCAG statement or a11y page found.
Growth
60A real problem (multi-provider sprawl, lock-in, failover) with a concrete wedge: drop-in OpenAI compatibility plus unified multimodal billing. But OpenRouter, Fal.ai, Replicate and Kie.ai already own adjacent ground.
Improvement areas
- Model catalogue preview ships with five of eight thumbnails empty and inconsistent art styles.
- Chinese subtitles and duplicate 'official' entries leak into the English interface.
- Security headers at 6/12 — no HSTS, CSP, Referrer-Policy or Permissions-Policy; no published compliance evidence.
- Four failing accessibility audits (contrast, heading order, touch targets, accessible names) and no WCAG statement.
Design & Usability
The design language is coherent — orange accent on warm neutrals, a clean provider strip, and a genuinely well-crafted Python snippet that speaks to the developer audience. But the primary catalogue preview is undermined by five empty thumbnail slots out of eight, mismatched art styles across cards, and Chinese subtitles ('pomo Claude官方') leaking into an English interface with duplicate 'official' entries. Usability is stronger: the 3-step base-URL migration is legible, pricing exposes 190 models with clear token/request/duration billing units, and the Text/Image/Video tabs give a clean path into the catalogue. The cost is sprawl — the homepage runs long with Quick Entry, Model Categories, Alternatives and Use Cases all competing for attention, and no free trial or live demo to shortcut evaluation.
Speed & Security
Speed is a genuine strength: Lighthouse mobile 82/100 with LCP 2.8s, CLS 0.021 and TBT 320ms, desktop 81/100, and no lag complaints in the collected evidence. Security is the weak flank. HTTPS is enforced and SPF, DMARC, frame protection and X-Content-Type-Options are present, but the probe found no HSTS, no CSP, no Referrer-Policy and no Permissions-Policy — 6/12 on the header checklist. For a gateway that sits in front of every model call and holds API keys, that's thin. No SOC 2, ISO 27001, pen-test summary or bug bounty page surfaced in the collected evidence, so compliance posture is unverified rather than proven absent.
Accessibility & Growth
Accessibility lands at 91/100 on Lighthouse but the failing audits are the basics: insufficient color contrast, non-sequential heading order, undersized touch targets, and elements whose visible labels don't match their accessible names. There's no WCAG conformance statement or dedicated a11y page. Multi-language support exists (an 'en' toggle) but Chinese strings still bleed into the English UI. On growth: the problem ToAPIs names is real — multi-provider sprawl, lock-in, failover, unified billing — and the wedge is specific: drop-in OpenAI compatibility plus multimodal coverage across text, image and video in one contract. That's a legitimate 51-65 differentiator. The limit is the category: OpenRouter owns the text-aggregation mindshare, Fal.ai and Replicate own image/video inference, and Kie.ai is doing the same aggregation play. ToAPIs has no network effect or data moat visible in its material — its edge is execution and pricing, both copyable.
Conclusion
If you're already on the OpenAI SDK and need image and video models under the same key, ToAPIs is a low-friction way to test that thesis — the migration cost is genuinely small. Go in with eyes open: verify the failover behavior yourself before trusting it in production, ask directly for their security posture (SOC 2 status, pen-test cadence, incident history) since it isn't published, and treat the '99.9% uptime SLA' as a claim to be contractually pinned down, not a fact on a landing page. The product is real and the wedge is legible; the question is whether the team hardens it fast enough to matter against aggregators that already have the mindshare.
Suggestions for improvement
- Fill in the five empty model-card thumbnails and unify the art style — the catalogue preview is the first thing a developer judges.
- Remove the Chinese 'pomo Claude官方' subtitles and duplicate 'official' entries from the English UI, or localize them properly.
- Add HSTS, CSP, Referrer-Policy and Permissions-Policy — 6/12 headers is thin for a gateway holding API keys.
- Publish a security/compliance page (SOC 2 status, pen-test cadence, incident policy) and fix the four failing a11y audits.
Alternatives comparison
Named competitors, point by point. Nobody paid to appear here or to be left out.
| Kie.ai | |||||
|---|---|---|---|---|---|
| OpenAI SDK compatibility (drop-in base URL swap) | Yes — swap base URL to https://toapis.com/v1 | Yes — OpenAI-compatible endpoint | Partial — own SDK, not OpenAI-shaped | Partial — OpenAI-style endpoints for some models | No — own prediction API |
| Model breadth (text + image + video + audio) | 200+ across text, image, video, audio | Hundreds of text/LLM models; limited image/video | Strong image/video; limited text LLMs | Multi-provider, image/video heavy | Thousands of open-source models, image/video strong |
| Automatic provider failover / routing policy | Yes — default and fallback model policy | Yes — provider routing and fallbacks | Limited — single-provider focus | Limited / not prominently documented | No cross-provider failover |
| Unified billing across modalities | Yes — token, request and duration units | Yes — token-based credits | Yes — per-second/per-call credits | Yes — credit-based | Yes — per-second compute billing |
| Published security/compliance evidence (SOC 2, ISO, bug bounty) | Not found in collected evidence | Security page present; SOC 2 status not verified here | SOC 2 Type II published | Not verified | SOC 2 Type II published |
OpenRouter
A popular multi-model API aggregator with a unified interface for many LLMs, often compared to ToAPIs for text model access.
Fal.ai
Focused on fast inference for image and video generation models, frequently used as an alternative for creative AI workloads.
Kie.ai
Another AI API aggregation platform offering access to multiple model providers, often evaluated alongside ToAPIs.
Replicate
A platform for running and fine-tuning open-source models via API, commonly used for image and video generation tasks.
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