Softwr

Machine Learning · head to head

OpenAI API vs Silent Eight

OpenAI API logo

OpenAI API

Machine Learning

Hosted API for OpenAI's language, embedding, image and audio models, billed per token

From
$0.15/per-million-tokens
Rated
-
Full reviewWebsite
Silent Eight logo

Silent Eight

Cybersecurity

AI adjudication of sanctions screening and AML alerts

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: OpenAI API cost scales with tokens rather than with seats, so a successful feature's bill grows with its adoption, and an interface that lets users paste long documents has no natural ceiling on spend unless you build one yourself.; Silent Eight automated disposition has to clear model risk governance and a regulator, and the shadow running period before auto-close is permitted can consume most of the first year of the contract.
  • They diverge on capability: OpenAI API covers Text and reasoning models, Silent Eight covers Alert adjudication.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which OpenAI API and Silent Eight actually diverge.

Attributes where OpenAI API and Silent Eight differ
AttributeOpenAI APISilent Eight
Starting price$0.15/per-million-tokensOn request
Pricing modelusage-basedquote
PlatformsApiWeb, Linux
CategoryMachine LearningCybersecurity
Founded2015Unknown

Identical on both: free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in OpenAI API

  • Text and reasoning models
  • Embeddings
  • Speech and audio
  • Image generation
  • Function calling
  • Structured outputs
  • Batch processing
  • Prompt caching

Only in Silent Eight

  • Alert adjudication
  • Narrative generation
  • Name screening automation
  • Quality assurance
  • Shadow mode
  • Model transparency reporting

What people use each for

The jobs each tool is most often brought in to do.

OpenAI API

  • Adding summarisation, drafting or classification to an existing product where building a model would take longer than the product's whole roadmapnot Silent Eight
  • Retrieval-augmented question answering over internal documents, using the embedding and generation models togethernot Silent Eight
  • Extracting structured records from unstructured text, where schema-constrained output removes most of the parsing problemnot Silent Eight
  • Prototyping a language feature quickly to find out whether it is worth the cost of a self-hosted alternative laternot Silent Eight

Silent Eight

  • A bank whose level one screening team spends most of its time closing obvious false name matchesnot OpenAI API
  • A payments institution with alert volumes growing faster than it can recruit and train analystsnot OpenAI API
  • A compliance function asked by a regulator to demonstrate consistency of alert decisions across offshore teamsnot OpenAI API
  • An institution that has just tightened screening thresholds after an enforcement action and cannot staff the resulting alert increasenot OpenAI API

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

OpenAI API

  • Cost scales with tokens rather than with seats, so a successful feature's bill grows with its adoption, and an interface that lets users paste long documents has no natural ceiling on spend unless you build one yourself.
  • Models are deprecated on the vendor's timetable, and a fine-tuned model built on a retired base goes with it, so the tuning work and the data curation behind it must be redone rather than migrated.
  • Behaviour shifts between model versions in ways no test catches unless you wrote one, so prompts tuned over months against a particular snapshot can regress quietly on migration, which makes an evaluation suite a prerequisite rather than an improvement.
  • It cannot run inside your own network, so data residency requirements, air-gapped environments and contracts forbidding third-party processing rule it out regardless of the provider's own security posture.
  • You inherit its availability and its rate limits, so a provider incident is an outage in your product and a traffic spike can be throttled at precisely the moment the feature is proving itself.

Silent Eight

  • Automated disposition has to clear model risk governance and a regulator, and the shadow running period before auto-close is permitted can consume most of the first year of the contract.
  • It does not improve detection, so an institution with a poorly tuned monitoring system automates the handling of bad alerts rather than fixing why they exist.
  • Pricing is tied to alert volume, which means efficiency gains elsewhere that reduce alerts also reduce the vendor bill in a way sales teams structure minimums against.
  • The headcount saving is only realised if the institution actually reduces the analyst pool, and many banks redeploy rather than cut, leaving the business case unrealised on paper.
  • As a mid-sized private vendor serving tier one banks, concentration risk cuts both ways; the loss of one large client materially affects the company, and buyers should ask about financial stability during diligence.

Pricing, plan by plan

OpenAI API

$0.15/per-million-tokens
  • GPT-4o mini$0.15/per-million-input-tokens
    • Fast
    • Affordable
  • GPT-4o$5/per-million-input-tokens
    • Multimodal
    • 128K context

Silent Eight

On request
  • Iris$undefined/year
    • Priced by alert volume adjudicated
    • Deploys against existing screening and monitoring systems
    • Shadow mode evaluation period

Which should you pick?

Choose OpenAI API if

  • You need text and reasoning models.
  • You work on Api.
  • You also want embeddings.
OpenAI API review

Choose Silent Eight if

  • You need alert adjudication.
  • You work on Web, Linux.
  • You also want narrative generation.
Silent Eight review

Questions people ask

Is OpenAI API or Silent Eight better?
Neither clearly leads. OpenAI API starts at $0.15/per-million-tokens and Silent Eight at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, OpenAI API or Silent Eight?
OpenAI API starts at $0.15/per-million-tokens and Silent Eight at On request.
Does OpenAI API or Silent Eight run on more platforms?
OpenAI API runs on Api. Silent Eight runs on Web, Linux.
What is OpenAI API best used for?
OpenAI API is most often used for adding summarisation, drafting or classification to an existing product where building a model would take longer than the product's whole roadmap, retrieval-augmented question answering over internal documents, using the embedding and generation models together, extracting structured records from unstructured text, where schema-constrained output removes most of the parsing problem, prototyping a language feature quickly to find out whether it is worth the cost of a self-hosted alternative later. Of those, adding summarisation, drafting or classification to an existing product where building a model would take longer than the product's whole roadmap and retrieval-augmented question answering over internal documents, using the embedding and generation models together are not what Silent Eight is typically brought in for.
What can OpenAI API do that Silent Eight cannot?
OpenAI API covers Text and reasoning models, Embeddings, Speech and audio, Image generation. Silent Eight covers Alert adjudication, Narrative generation, Name screening automation, Quality assurance.

Answered from the vendors’ own pages

OpenAI API: Is my data used to train the models?

API inputs and outputs are not used for training by default, which differs from the consumer product. Retention periods and enterprise terms change, so read the current data usage policy rather than trusting a summary.

Silent Eight: Does Silent Eight replace our screening system?

No. It consumes alerts from your existing screening and monitoring systems and decides them. The detection layer stays where it is.

OpenAI API: Can I run these models on my own hardware?

No. The weights are not distributed. If self-hosting is a requirement, you are looking at open-weight models instead, with the operational and quality trade-offs that implies.

Silent Eight: Will a regulator accept AI closing alerts?

It depends on your jurisdiction and your model governance evidence. Banks typically run extended shadow mode first and phase auto-closure by alert type.

OpenAI API: How is it priced?

Per token, with input and output priced differently and each model priced differently. Batch processing and cached input prefixes reduce it. The practical consequence is that your bill is a function of prompt design, not just of request count.

Silent Eight: Where is the company based?

Singapore, with offices in New York, London and Warsaw.

OpenAI API: What is the difference from Azure OpenAI Service?

The same model family delivered by Microsoft under an Azure contract, with Azure identity, networking and regional controls, and a different release cadence for new models. Enterprises with an Azure agreement often choose it for procurement and data residency reasons rather than technical ones.

OpenAI API: How do I keep the cost under control?

Cap input length, cache repeated prefixes, route easy requests to smaller models, use the batch path where latency does not matter, and set per-user limits before launch rather than after the first surprising invoice.

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