COMPARISON · HOSTED MODERATION APIs

Stop paying a tax
on every message.

Azure AI Content Safety bills per 1,000 text records — a line item that grows with every message you filter, forever. Filter8's marginal cost is compute, so it stays flat as you scale, runs sub-millisecond, and keeps nothing after the response.

Try the playground → See flat pricing

100 free calls · no per-record metering · run the math on your volume.

Flat, not per-record

A per-1,000-record model is linear in volume — high-volume chat gets expensive fast. Filter8 sustains huge throughput per core, so cost barely moves as you grow.

Sub-millisecond, in-process

A hosted classifier is a network round-trip on every message. Filter8 decides in microseconds, fast enough to sit synchronously in a send-time chat path.

Your text, not theirs

No shipping user text — including minors' PII — to a third-party cloud that may retain or train on it. Managed keeps nothing after the response and logs offsets, never the text.

Azure Content Safety vs Filter8

CAPABILITY	Azure AI Content Safety	Filter8
Cost model	Per 1,000 text records — linear in volume	Flat — marginal cost ≈ compute
Latency	Hosted round-trip (tens–hundreds ms)	Sub-millisecond, in-process
Approach	Hosted ML classifier	Deterministic engine
Output	Category severities	Verdict + clean_text
Explainable / replayable	Scores	✓ reproducible explain trace
Data residency	Text sent to Azure	Nothing retained after the response
Evasion (leet · homoglyph · spacing · zero-width)	Good	26 classes, deterministic
Contact / PII (incl. spelled-out)	PII detection (add-on)	Built-in classifiers
Multimodal (images)	✓ text + image	—
Rating-aware (E–M · minors)	Severity thresholds	Per-rating, per-category ceilings

Azure AI Content Safety is a Microsoft product. Comparison as of July 2026 based on public information and Filter8's positioning; pricing and capabilities change — verify current Azure rates and features before relying on specifics.

THE MATH THAT MATTERS

Per-call is a tax. Compute is a fixed cost.

A per-1,000-record price looks tiny on a demo and enormous at scale, because it's multiplied by every message forever. A single core sustains tens of thousands of messages per second — so volume that runs into five or six figures a month on a per-call API is a rounding error in compute for a deterministic core.

Want the worked comparison across daily volumes? It's in our [docs](/docs/) — plug in your own message volume and per-record rate. (Published external rates move; always price against current numbers.)

WHERE AZURE WINS

Honest about the trade

If you need multimodal moderation (images and video), the broad multilingual reach of a large ML model, or deep integration with the Azure ecosystem and its compliance certifications, Azure Content Safety is a strong, natural fit. Filter8 is deliberately narrow: the fastest, cheapest, most private path for high-volume text — and it pairs cleanly with a multimodal service for the rest.

Azure comparison questions

How much cheaper is Filter8?

It scales with your volume. Azure bills per 1,000 records; our marginal cost is compute, so the gap widens the more you send. Multiply your volume by their per-record rate and compare a flat plan.

Does Filter8 do images?

No — text-focused and deterministic. For images, Azure or a media service fits; pair Filter8 for the high-volume text path.

Is deterministic as accurate as ML?

For known patterns + evasion on the hot path, yes and faster. Route the ambiguous tail to a model async — deterministic core, model escalation.

Where does my text go?

Managed keeps nothing after the response and logs offsets, never substrings — nothing is handed to a third-party model.

COMPARE MORE

vs AWS Guardrails — per-evaluation billing → vs Hive — ML moderation → vs Sightengine — moderation API →

Filter every message. Not just the ones you can afford to.

Flat pricing means you leave the filter on for all of it. 100 free calls, no card, no per-record meter.

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