Malkuth-4B (newfull5, Kev post-train)

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newfull5/malkuth-4b

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Malkuth-4B is a typed decision model that returns calibrated probabilities for yes/no, multiple-choice, or score questions. It processes text inputs and provides decision outputs. The model is available as open weights.

  • decision model
  • open-weight

At a glance

providernewfull5
released—
context—
input / M—

Specifications

What the API gives you

Context window
— tokens
Max output
—
Input price
— / 1M tokens
Output price
— / 1M tokens
Cache read
—
Modalities
text → decision
Knowledge cutoff
—
Released
—

Measured evidence

Public benchmark record

JevBench
26.2 ± 4.32026-10-16

LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.

Task evidence

How broad is the support?

Each status is exact to this model version and the selected task. Official release claims remain provisional.

  • Best Open-Weight Decision Model for Self-HostingProvisional evidence

    100% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing. 1 of 1 configured evaluation feeds currently have results.

  • Best Decision Model for Agent Routing and ScoringProvisional evidence

    100% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing. 1 of 1 configured evaluation feeds currently have results.

Recommendation coverage

Where this model appears

Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.

Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.