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Kev 4B r10

Jared PalmerDecision modelOpen weights

Kev 4B r10 by Jared Palmer is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 39.5 on the Jev Decision Index (rank 84). Hosted, it costs about $0.0084 per 1,000 decisions.

Pricing

Input (per 1M tokens)
$0.04
Output (per 1M tokens)
$0.00
Per 1,000 decisions
$0.0084

Cost per 1,000 decisions assumes 200 input tokens per decision.

Specifications

Provider
Jared Palmer
Parameters
5B
Released
Sep 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/Qwen3.5-4B-Base
Jev-compatible request
Yes
Runs on CPU
No
License
apache-2.0
Hugging Face
jaredpalmer/kev-4b

Benchmarks

Jev Decision IndexECE 0.032
39.5
Jev Decision Indexedition 0.2.1 (earlier edition)
34.6
DecisionBenchECE 0.255
0.652

Jev Decision Index: public 38.0, ECE 0.032, Brier 0.485. 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.

breadth-v1 test: 14 held-out public datasets (3,089 questionSelf-reported
0.690
devtools-v1 test (1,071 questions; six public developer-toolSelf-reported
0.756
hard-v1 test (1,088 questions; programmatic labels, held-outSelf-reported
0.803
tasksource-heldout-v1 development: 17 of 24 held-out task faSelf-reported
0.677
transfer-v4 test: six never-trained public sources and held-Self-reported
0.838

Speed & latency

Median latency per call (Decision Index)
59 ms

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FAQ

How much does Kev 4B r10 cost?

Hosted, Kev 4B r10 costs $0.04 per 1M input tokens, about $0.0084 per 1,000 decisions at 200 input tokens each.

What questions can Kev 4B r10 answer?

Kev 4B r10 answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.

Is Kev 4B r10 well calibrated?

On the Jev Decision Index its expected calibration error (ECE) is 0.032; below about 0.05, a stated 80% confidence is right roughly 80% of the time.

Is Kev 4B r10 open weight, and can it run on a CPU?

Yes, Kev 4B r10 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 (OpenRouter, Jev Decision Index, DecisionBench, Benchmark Heaven JevBench). Pricing is per 1M tokens (USD); confirm with the provider before production use.