Pixapi Review

Ten-plus models, one API key, credits starting at $10. That's the pitch, and the docs back it up with real endpoints: synchronous /v1/images/generations, async /v1/async/videos/generations with task polling. They've even deprecated old patterns like async=true, which tells me someone's actively maintaining this, not just running a wrapper and walking away.

Two questions matter here. One: does aggregation add value or just save a few integration hours? For teams juggling five model providers, routing plus a Nano Banana price comparison against Google AI, fal.ai, and Replicate is real leverage. Two: what happens when Gemini or Kling changes their API and Pixapi lags?

Credits valid one year, failed generations not charged, no card required for a key. Fair terms. The release log only goes back to July 2026, there's no funding data, and there's lock-in risk if your prompts and workflows live entirely inside their task polling model.

The core bet here is normalization: one Bearer-auth REST API in front of Nano Banana, Seedance, Kling, Wan, Grok Video, and HappyHorse, with sync /v1/images/generations and async /v1/async/videos/generations plus task polling. That's the correct shape for the job — video generation is inherently async, and treating it as sync would be the amateur mistake. They've also already deprecated their own old endpoint (/v1/videos/generations, async=true, image_url) in favor of cleaner patterns, which tells me someone is maintaining this, not just shipping and abandoning.

The risk is architectural dependency, not code quality. If we adopt Pixapi, in three years we've outsourced our multi-model routing and failover logic to a layer we don't control, priced on credits (1 credit ≈ $0.01, packs from $10, valid 1 year). If a provider they route to changes pricing or deprecates a model, we're waiting on Pixapi's docs team, not our own.

The MCP server with OAuth is the interesting long-term signal — agent-native access matters more than the REST wrapper alone.

You can build the spend model before you write the integration. Seedance 2 posts 8 credits per second at 480p, 16 at 720p, 38 at 1080p, 78 at 4K. Images price the same way — Gemini 3.1 Flash Lite Image at 2 credits. A credit is a cent.

Ten thousand image calls a month at 2 credits each is $200. Every video model page carries the same resolution-by-second grid, so the video line is a spreadsheet, not a guess. Failed generations aren't billed. No seat fees, no monthly minimums, no SSO tax.

No auto-renewal to diary. You exit by not topping up. Pixapi publishes its own rate comparisons against fal, Replicate, Runware and PiAPI — rare candour on a pricing page. The catch is procurement: credits are prepaid, no invoicing or net terms are disclosed, and unused credits expire at 12 months.

Unified routing across 10+ models is the real pitch, and it's grounded in actual endpoint docs: POST /v1/images/generations returns response.data[0].url synchronously, while video goes through /v1/async/videos/generations plus GET /v1/tasks/{id} polling. That's two different client patterns to maintain in the same SDK wrapper. Fine once you've built the polling loop, mildly annoying every time you onboard a new model that ships as one or the other.

They've explicitly deprecated /v1/videos/generations, async=true, and image_url in favor of the current patterns — good sign they're maintaining docs against real usage, not letting stale pages rot. Credit pricing is transparent per-model (Gemini 3.1 Flash Lite Image at 2 credits, GPT Image 2 from 1 credit), failed generations aren't charged, and no card is needed to get an API key.

MCP server with OAuth is a nice touch for agent workflows, though it's unclear how deep that surface goes beyond pricing lookups and Gemini calls.

There's no app here, this is a product you live inside your codebase, so 'daily polish' means: are the docs clean and do the endpoints behave. On that front it looks decent — cURL, Python, JS examples, model-specific pages, and they've actually gone back and deprecated old patterns like /v1/videos/generations and async=true instead of just letting cruft pile up. That's the kind of housekeeping most API platforms skip.

Onboarding is API-key-and-go: no credit card required, $10 minimum top-up, 1 credit ≈ $0.01, credits valid a year. That's homework you can finish in ten minutes, not a sales call. The async video flow (submit, then poll /v1/tasks/{id}) is standard for this category but adds a state machine you have to build yourself — no webhooks mentioned.

Learning curve is gentle at first, since image gen is synchronous and simple, but scales up once you're juggling video resolutions, durations, and model-specific quirks across 10+ models. Mobile and reliability are non-questions for a backend API — the real tradeoff is you're trusting Pixapi's routing layer over going direct to each provider like fal or Replicate, which they compare themselves against on pricing.

July 2, 2026. That's the oldest dated entry on the announcements page, and the newest is September 6. Three blog posts, all from early September. So there is a public record here — it's just three months deep.

The specifics hold up. Video is priced per resolution per second — seedance-2 is 8 credits at 480p, 38 at 1080p — and the Nano Banana Price Comparison puts the image rates next to Google AI, fal.ai and Replicate instead of a contact form.

But the deprecation list is already three items long — /v1/videos/generations, async=true, image_url — on a platform this young. Exit is cheap either way: it's a routing layer, so you re-point at the provider. $10 to start, credits good for a year, no subscriptions or seat fees. Fine bet for prototyping. Watch the cadence before production.