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Matilda Jev v1.5

MaincodeDecision modelOpen weights

Matilda Jev v1.5 by Maincode is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 59.2 on the Jev Decision Index (rank 11).

Pricing

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

Specifications

Provider
Maincode
Parameters
26B
Released
Oct 2026
Open weights
Yes
Question types
Choice (one of N options), Score (ordered rubric), Yes / no
Mechanism
Decoder LM with a decision readout
Backbone
Qwen/Qwen3.8-27B
Jev-compatible request
Yes
Runs on CPU
No
License
apache-2.0
Hugging Face
Maincode/matilda-jev-v1.5

Benchmarks

Jev Decision IndexECE 0.077
59.2

Jev Decision Index: public 63.5, ECE 0.077, Brier 0.337. Lower ECE means its probabilities can be taken at face value.

Self-reported by the publisher

The model's own claims, often on its own sets or a self-run copy of a public suite. Not independently verified and never ranked alongside measured results.

Jev Decision Index public suite (self-run)Self-reportedDecision Index public balanced skill, edition 0.3 kit (release-v3), self-run
63.5

Speed & latency

Median latency per call (Decision Index)
89 ms

Compare Matilda Jev v1.5 with…

FAQ

How much does Matilda Jev v1.5 cost?

Matilda Jev v1.5 has no hosted price listed; its weights are open, so the cost is the compute you run it on.

What questions can Matilda Jev v1.5 answer?

Matilda Jev v1.5 answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.

Is Matilda Jev v1.5 well calibrated?

On the Jev Decision Index its expected calibration error (ECE) is 0.077; below about 0.05, a stated 80% confidence is right roughly 80% of the time.

Is Matilda Jev v1.5 open weight, and can it run on a CPU?

Yes, Matilda Jev v1.5 has open weights. It needs a GPU to run at useful speed.

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