Synexa
Verified Oct 16, 2026 ActiveServerless API for running 100+ image, video, 3D and audio models, billed per output or per second of GPU time
Listed on EffectHub ·
Pricing
- Pricing model
- Paid
- Paid options from
- $0.0015/image
- Billing
- Metered · per image
Usage-based with no subscription. Per-output rates: FLUX.1 schnell 0.0015 per image, FLUX dev 0.0125, FLUX pro 0.02, SDXL 0.002, Wan 2.1 0.2 per video, Hunyuan 3D 0.025 per model (the table omits the currency sign; the hardware table beside it is in dollars). GPU time per second: H100 $0.00083, A100 80GB $0.00069, A6000 $0.000414, RTX 4090 $0.000192, RTX 3090 $0.000119.
Use tool ↗About Synexa
Synexa runs hosted AI models behind a single HTTP API: one POST with an API key starts image generation, video generation, restoration, captioning, speech or a fine-tune, with Python and JavaScript SDKs alongside REST. The gallery lists more than a hundred models, mostly open weights such as FLUX, Stable Diffusion XL, Wan and Hunyuan, alongside hosted proprietary ones such as Google's Veo 3.1 and Nano Banana Pro. Infrastructure scales to zero when idle, so you pay only for compute consumed. Pricing is published two ways: per second of GPU time, from $0.000119 on an RTX 3090 to $0.00083 on an H100, and as flat per-output rates such as $0.0015 for a FLUX schnell image. The site names no company entity or country.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 16, 2026
Verified sources
- Pricing page: per-output rates FLUX.1 schnell 0.0015, FLUX dev 0.0125, FLUX pro 0.02, SDXL 0.002 per image, Wan 2.1 0.2 per video, Hunyuan 3D 0.025; GPU per second H100 $0.00083 down to RTX 3090 $0.000119 (15 October 2026)synexa.ai ↗
- Home page: one-line API with Python, JavaScript and REST, 100+ models including Veo 3.1 and Nano Banana Pro, scale-to-zero, GPUs on three continents (15 October 2026)synexa.ai ↗
- Terms of service name no company and state the terms are governed by '[Jurisdiction]' law (15 October 2026)synexa.ai ↗
Is Synexa legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Jan 2, 2025 (1 year ago)Registry record (RDAP), registrar NameCheap, Inc., looked up Sep 18, 2026
- TLS certificate
- Issued by Google Trust Services, valid until Nov 19, 2026Seen in our own connection to the site on Oct 16, 2026
- Last checked
- Oct 16, 2026The site answered
Pros & cons of 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
Best for
- 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
Not for
- Production systems that need a contractable vendor and an SLA in writing
- Teams whose procurement requires a named counterparty and governing law
Watch out: The terms mention automatic renewal and service suspension for late payment, but name no contracting party and leave the governing law as an unfilled '[Jurisdiction]' placeholder, so there is no identifiable counterparty to escalate to.
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