Comparison
modwall vs moderation with a multimodal LLM
An LLM describes an image beautifully. But production moderation is not image description — it is a repeatable decision, an audit trail, and data that does not leak.
It is tempting to send an upload to a multimodal LLM with the prompt „is this NSFW?”. For a prototype — why not. In production the trouble starts: non-deterministic answers, no threshold you can tune, users' photos sent to an external provider (often outside the EU), and a bill that grows with every token. A specialised classifier does one thing — predictably.
A point-by-point comparison
| modwall | Alternative | |
|---|---|---|
| Bottom line | Calibrated score 0–1 + your threshold and monitor/review/enforce modes | Text to parse; the response may vary between calls |
| Image privacy | Processed in memory, zero storage, EU or your self-hosted setup | The image goes to an external API, usually outside the EU; retention policies are beyond your control |
| DSA audit trail | Audit log of every decision, included as standard | You build it yourself around the API |
| Cost at scale | Fixed subscription — a request limit, not tokens | Token costs grow linearly with traffic; big images = expensive images |
| Behavior stability | Versioned model, the same result for the same image | Provider model updates can silently change decisions |
| HITL queue + reports | Built in | Build it yourself |
Verdict
An LLM is excellent where you need contextual understanding and explanations. For a moderation gate on every upload you need a predictable, cheap and auditable classifier — and that is exactly what modwall is.
We play fair: When does an LLM make sense? For rare, ambiguous cases that need context (satire, press material). A good pattern: modwall as the first line across all traffic, an LLM or a human only for the borderline band from the HITL queue.
Test it on your own traffic
1,000 free requests per month, no card. Monitor mode blocks nothing — you'll see the results before you decide.
Create a free accountOther comparisons: vs. in-house moderation · vs providers outside the EU