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.
Juspay's open decision model. Qwen3.6-35B-A3B with a merged rank-16 LoRA, shipped with a pinned SGLang serving bundle that answers Choice, Score and Noul questions over text, images or a video through a TypeSafe-compatible /v1/systemone API.
Decides
choice, noul, score, classify, route
choice, score, noul, classify, route
Architecture
nimble
xor
Fine-tuned from
qwen/qwen3.5-9b
qwen/qwen3.6-35b-a3b
License
apache-2.0
apache-2.0
Availability
Open weights + hosted API
Open weights
Hosted by
Bespoke Labs
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Input price
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Decision accuracy
90.1%
90.0%
Calibration error
0.054
0.073
Valid action rate
—
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Median latency
106 ms
69 ms
p95 latency
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162 ms
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 xor?
bespoke-nimble-9b is from Bespoke Labs and xor from Juspay. bespoke-nimble-9b has open weights and a hosted API; xor has open weights you can download and run. Both answer choice, noul, score, classify and route questions. bespoke-nimble-9b is the smaller model, at 9.0B parameters to 35B.
Which is more accurate, bespoke-nimble-9b or xor?
They report on different suites — bespoke-nimble-9b 90.1% on Bespoke held-out set (324 examples), xor 90.0% on JevBench public set (231 items), maker's self-run of Xor 1.2 — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bespoke-nimble-9b or xor?
bespoke-nimble-9b: Hosted, price not published, or free to self-host. xor: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, bespoke-nimble-9b or xor?
By their publishers’ figures, xor answers in about 69 ms at the median and bespoke-nimble-9b in about 106 ms — measured on different hardware, so treat it as a rough guide.
Can I run bespoke-nimble-9b or xor locally?
Yes, both: systemone pull bespoke-labs/bespoke-nimble-9b and systemone pull juspay/xor download the weights.
JevBench public set (231 items), maker's self-run of Xor 1.2
