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eroq

Comparison

eroq vs AI/ML API

AI/ML API sells breadth: hundreds of mainstream models, one endpoint, familiar per-token pricing. eroq sells depth on one vertical: the character product, from uncensored roleplay to image, video, voice and hosting. Which one fits depends entirely on what you are building.

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Where an aggregator shines

If your product is general-purpose — assistants, summarization, coding tools — an aggregator's catalogue breadth and model-swapping are genuinely useful, and AI/ML API's developer experience is competent. For light roleplay their mainstream catalogue also works, with the caveat every mainstream model carries: the filter.

Where the vertical platform wins

Character products fail on the details aggregators cannot own:

  • →Refusal behavior: mainstream models refuse dark or intense scenes probabilistically — mid-scene, differently after every update. eroq's engines render within a written policy, with deterministic content_blocked errors.
  • →Roleplay tuning: persona hold, repetition damping and register control measured on production companion traffic — not a system prompt taped over a general model.
  • →The full stack: uncensored images, async video, voice both ways, CDN storage, and a Private mode that keeps nothing.
  • →Flat credits: heavy chat users are the norm in this vertical; per-token pricing makes them a liability, flat pricing makes them your best customers.

Side by side

The short version:

eroqAI/ML API
Built forCharacter & creative productsGeneral-purpose model access
CatalogueA focused roster across chat, image, video and voiceHundreds of mainstream models
Content postureUncensored within a written AUPMainstream filters apply
PricingFlat credits, auto-refundsPer-token tiers
Media & storageImages · video · voice · CDNNot the focus
Best forCompanion & character apps with revenueGeneral AI features

Public positioning as of August 2026 — verify current details on aimlapi.com. General product, aggregator; character product, vertical platform. Mixing both across one codebase is normal.

One call to see it

curl https://eroq.ai/v1/chat/completions \
  -H "Authorization: Bearer $EROQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "eroq-rp-plus",
  "context": "Mira: sardonic starship mechanic, dry humor, hates small talk. Scene: engine bay, mid-shift.",
  "messages": [
    {
      "role": "user",
      "content": "The reactor is making that noise again."
    }
  ]
}'

Base URL https://eroq.ai/v1 · full reference in the docs

ModelKindPrice
eroq-rp-pluschat3 credits / completion
eroq-rp-minichat1 credit / completion
eroq-uncensoredimage10 credits / image
eroq-krea2image10 credits / image
eroq-oneimage20 credits / image
eroq-animeimage10 credits / image
eroq-motion-onevideo12 credits / second
eroq-motion-provideo30 credits / second
seedance-2-5video62 credits / second
veo-3-1video106 credits / second
sora-2-provideo80 credits / second
kling-3-provideo45 credits / second
seedance-2-0video40 credits / second
hailuo-3video35 credits / second
runway-gen-4-5video32 credits / second
veo-3-1-fastvideo27 credits / second
kling-3video34 credits / second
seedance-2-0-fastvideo24 credits / second
hailuo-3-maxvideo22 credits / second
grok-imaginevideo37 credits / second
seedance-2-0-minivideo9 credits / second
veo-3-1-litevideo14 credits / second
wan-3video27 credits / second
eroq-flash-imageimage10 credits / image
eroq-flux-imageimage12 credits / image
gpt-image-2-5-sunburstimage31 credits / image
gpt-image-2-5-flareimage31 credits / image
nano-banana-2-1image31 credits / image
seedream-5-0-proimage36 credits / image
nano-banana-proimage124 credits / image
flux-3-imageimage32 credits / image
grok-imagine-2-0image32 credits / image

Full table on the pricing page.

Questions builders ask

Can AI/ML API handle uncensored roleplay? +

Its catalogue is mainstream models, and mainstream models carry content filters — intense scenes refuse probabilistically. eroq's engines are selected and tuned so fiction renders, governed by a written policy instead.

Is eroq OpenAI-compatible like the aggregators? +

Yes — chat/completions, images/generations and audio/speech follow the OpenAI request convention, so code written for an aggregator ports by changing the base URL, key and model id.

Which has more models? +

AI/ML API, by two orders of magnitude — that is the aggregator's job. eroq deliberately runs a small set of engines it can tune and guarantee for one vertical.

What about hosting the media my product generates? +

That is the difference in kind: eroq ships CDN storage (2 credits per 10MB, once) wired directly into generation via store: true, under the same written policy as the engines. Aggregators leave hosting to you.

First call in five minutes.