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Replicate vs Synexa

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Neither — Replicate has paid plans only, Synexa has paid plans only
Public API
Both have one
Higher Trust score
Replicate — 82 vs 68 for Synexa
Best fit
Replicate: Developers prototyping with many different models through one API · Synexa: Developers running FLUX or SDXL image generation behind their own app
Status
Both up at our last check — Replicate Oct 29, 2026, Synexa Oct 16, 2026

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactReplicateSynexa
CategoryModel Hosting & InferenceModel Hosting & Inference
Pricing modelPaidPaid
Starts at—$0.0015/image
Public APIYesYes
Trust score82 / 10068 / 100
PlatformsWeb, APIWeb, API
CompanyReplicate (Cloudflare)—
Last verifiedOct 29, 2026Oct 16, 2026

What our research says

Replicate

Replicate is the quickest way for a developer to call a popular image, video or language model, or ship a custom one, without managing GPUs, and per-output pricing makes small workloads predictable. Teams with steady high volume, or who need their own cloud contracts, usually get better unit costs from dedicated GPU providers or the model makers' own APIs.

Pros

  • Very large catalog of models behind one consistent API
  • Per-output pricing on many models makes costs easy to estimate
  • Fine-tuning and private deployments for custom models
  • Cog tool for packaging and pushing your own models

Cons

  • Private deployments bill for idle time while instances are up
  • Cold starts can slow the first request to less-used models
  • Costs at scale can exceed self-hosting or direct vendor APIs

Synexa

Synexa is a Replicate-shaped service with published per-second GPU rates that undercut the usual A100 pricing, and scale-to-zero means an idle project costs nothing. Per-run prices for the popular image models are listed openly, which makes cost modelling straightforward. The problem is provenance: the terms of service name no company, no jurisdiction and no address, which is a hard sell for anything beyond side projects.

Pros

  • Per-second GPU rates published openly, down to $0.000119 on a 3090
  • Flat per-run prices for the common image, video and 3D models
  • Scale-to-zero, so idle projects cost nothing
  • REST plus Python and JavaScript SDKs, with a single-POST run flow

Cons

  • No legal entity, address or country published anywhere, and the terms' governing-law clause still reads '[Jurisdiction]'
  • The 99.9% uptime and sub-100ms routing claims come with no status page evidence
  • Per-output price table omits the currency sign
  • An about page exists in the navigation but returns 404

Which one fits

Choose Replicate if you need

  • Developers prototyping with many different models through one API
  • Startups adding image or video generation without running GPUs
  • Teams packaging and serving custom models with Cog

Choose Synexa if you need

  • Developers running FLUX or SDXL image generation behind their own app
  • Bursty workloads that would waste money on a reserved GPU
  • Teams comparing per-run cost against Replicate or Fal

Replicate vs Synexa: the questions people ask

Is Replicate cheaper than Synexa?

Synexa starts at $0.0015/image. An entry price for Replicate is not confirmed by us yet, so check its pricing page before you compare.

Which has a public API, Replicate or Synexa?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

All Synexa alternatives →Browse all Model Hosting & Inference →