# Typed AI vs generative: when to use each

> Source: <https://soamee.com/blog/en-typed-ai-vs-generative-when-to-use-each/>
> Published: 2026-11-01 00:00:00+00:00

Until September 2026, “AI model” meant LLM: a model that generates text token by token. With the launch of [Jev](https://soamee.com/en/blog/jev-system-one-ai-typed-no-hallucinations), there’s a concrete alternative for a significant portion of enterprise tasks: models that return typed values with probabilities instead of free text.

## Two paradigms, two problems

### Generative AI (LLMs)

An LLM receives text and produces text. Flexible but can hallucinate. Cost: $2-50/M tokens. Latency: seconds.

### Typed AI (System One)

A typed model receives data and returns predefined format values: yes/no, score 0-10, a category from a closed list. Can’t generate anything outside the defined schema. Cost: $0.042/M tokens (Jev). Latency: 70-500ms.

## Decision map by task

| Task | AI type | Why | 
|---|---|---|
| Classify emails by intent | Typed | Closed output (sales, support, spam) | 
| Reply to the email | Generative | Free text output | 
| Score contract risk | Typed | Numeric output (0-10) | 
| Explain why it’s risky | Generative | Free text argumentation | 
| Detect spam | Typed | Binary output | 
| Classify support ticket | Typed | Categorical output | 
| Resolve support ticket | Generative | Requires reasoning and text | 

The dividing line: if the output is a value from a defined set, typed AI. If the output is free text, LLM.

## Mixed pipeline

The most efficient architecture uses each type where it performs best. For a system processing 100,000 queries/day:

| Architecture | Daily cost approx. | 
|---|---|
| All LLM (Sonnet 5.5) | ~$200 | 
| Mixed (typed + LLM only when needed) | ~$15 | 

The LLM only runs on the 20% of cases requiring text generation. The rest uses typed AI at $0.042/M tokens.

For a complete model overview, see [AI model map October 2026](https://soamee.com/en/blog/ai-model-map-october-2026). Our [AI agents](https://soamee.com/en/services/ai-agents) team builds mixed pipelines.

[Request a free consultation](https://soamee.com/en/free-consultation) and we’ll analyze your case.