An open Jev-style LoRA on Qwen3.5-9B from Bespoke Labs, trained on 2,676 contrastively curated examples to score the allowed answer tokens directly for enums, booleans and rubric levels. Recipe, data and a public benchmark suite are released with it.
The first System One model. Reads a state, answers typed Choice, Score and Noul questions in one call with calibrated probabilities, and generates no text. Closed weights, served by TypeSafe AI.
Decides
choice, noul, score, classify, route
choice, score, noul, classify, route
Architecture
nimble
jev
Fine-tuned from
qwen/qwen3.5-9b
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License
apache-2.0
proprietary
Availability
Open weights + hosted API
Hosted API
Hosted by
Bespoke Labs
TypeSafe AI
Input price
—
$0.042/MTok
Decision accuracy
90.1%
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Calibration error
0.054
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Valid action rate
—
—
Median latency
106 ms
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p95 latency
—
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Evaluation suite
Bespoke held-out set (324 examples)
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between bespoke-nimble-9b and jev?
bespoke-nimble-9b is from Bespoke Labs and jev from TypeSafe AI. bespoke-nimble-9b has open weights and a hosted API; jev is only available as a hosted API. Both answer choice, noul, score, classify and route questions. jev reads up to 32K tokens of state, against 8K tokens for bespoke-nimble-9b. bespoke-nimble-9b is licensed apache-2.0; jev, proprietary.
Which is more accurate, bespoke-nimble-9b or jev?
Only bespoke-nimble-9b publishes an accuracy figure (90.1% on Bespoke held-out set (324 examples)); jev does not, so there is no comparison to make without your own test.
Which is cheaper, bespoke-nimble-9b or jev?
bespoke-nimble-9b: Hosted, price not published, or free to self-host. jev: $0.042 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run bespoke-nimble-9b or jev locally?
bespoke-nimble-9b yes — systemone pull bespoke-labs/bespoke-nimble-9b downloads its weights. The other is only served as a hosted API.