A local, Jev-compatible decision model from Rizzo AI Academy. XHToken's Spark-X2.5-4B with a merged typed-decisions LoRA, run on llama.cpp; yes/no, choice and score questions share one prefill of the state and are read from the answer-letter logits. No text is generated.
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, score, noul, classify, route
choice, score, noul, classify, route
Architecture
rizzo-flow
xor
Fine-tuned from
xhtoken/spark-x2.5-4b
qwen/qwen3.6-35b-a3b
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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—
Input price
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Decision accuracy
64.8%
90.0%
Calibration error
0.112
0.073
Valid action rate
—
—
Median latency
195 ms
69 ms
p95 latency
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162 ms
Evaluation suite
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 rizzo-flow and xor?
rizzo-flow is from Rizzo AI Academy and xor from Juspay. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. rizzo-flow is the smaller model, at 4.0B parameters to 35B.
Which is more accurate, rizzo-flow or xor?
They report on different suites — rizzo-flow 64.8% on LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), Q8_0, 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, rizzo-flow or xor?
rizzo-flow: Free (open weights). xor: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, rizzo-flow or xor?
By their publishers’ figures, xor answers in about 69 ms at the median and rizzo-flow in about 195 ms — measured on different hardware, so treat it as a rough guide.
Can I run rizzo-flow or xor locally?
Yes, both: systemone pull rizzo-ai-academy/rizzo-flow and systemone pull juspay/xor download the weights.
LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), Q8_0
JevBench public set (231 items), maker's self-run of Xor 1.2
