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Lavoir

Mogan AIDecision modelOpen weights

Lavoir by Mogan AI is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 4.4 on the Jev Decision Index (rank 151).

Pricing

No hosted price is listed. The weights are open: the cost is your own compute.

Specifications

Provider
Mogan AI
Parameters
396M
Released
Sep 2026
Open weights
Yes
Question types
Choice (one of N options), Score (ordered rubric), Yes / no
Mechanism
Encoder classifier
Backbone
answerdotai/ModernBERT-large
Jev-compatible request
No
Runs on CPU
Yes
License
cc-by-nc-4.0
Hugging Face
moganai/lavoir

Benchmarks

Jev Decision IndexECE 0.149
4.4

Jev Decision Index: public 8.8, ECE 0.149, Brier 0.728. Lower ECE means its probabilities can be taken at face value.

Speed & latency

Median latency per call (Decision Index)
20 ms

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FAQ

How much does Lavoir cost?

Lavoir has no hosted price listed; its weights are open, so the cost is the compute you run it on.

What questions can Lavoir answer?

Lavoir answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.

Is Lavoir well calibrated?

On the Jev Decision Index its expected calibration error (ECE) is 0.149; below about 0.05, a stated 80% confidence is right roughly 80% of the time.

Is Lavoir open weight, and can it run on a CPU?

Yes, Lavoir has open weights. It is small enough to run on a CPU.

Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Jev Decision Index, Enterprise Decision Arena, Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.