French medical decision models by Bofeng Huang: pass a patient message or clinical note, a question and candidate answers, and get one probability per answer from a single forward pass. Choice, score and noul. A research model, not a medical device.
Fastino's open-weight decision model. A DeBERTa-v3-large encoder that scores label sets supplied at runtime, answers single-label, multi-label, yes/no and ordinal questions in one pass, and extracts spans and relations.
Decides
choice, score, noul
choice, score, noul, classify, extract, route
Architecture
docto-decision
gliner2
Fine-tuned from
qwen/qwen3.5-4b
fastino/gliner2-large-v1
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights + hosted API
Hosted by
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Fastino
Input price
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Decision accuracy
88.9%
60.2%
Calibration error
0.079
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Valid action rate
—
—
Median latency
47 ms
38.3 ms
p95 latency
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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 docto-decision and gliner2-5-decide?
docto-decision is from Bofeng Huang and gliner2-5-decide from Fastino Labs. docto-decision has open weights you can download and run; gliner2-5-decide has open weights and a hosted API. Both answer choice, score and noul questions. Only gliner2-5-decide answers classify, extract and route. gliner2-5-decide is the smaller model, at 340M parameters to 4.7B.
Which is more accurate, docto-decision or gliner2-5-decide?
They report on different suites — docto-decision 88.9% on Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark), gliner2-5-decide 60.2% on Fastino fast-decisions suite (17 datasets) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, docto-decision or gliner2-5-decide?
docto-decision: Free (open weights). gliner2-5-decide: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Which is faster, docto-decision or gliner2-5-decide?
By their publishers’ figures, gliner2-5-decide answers in about 38.3 ms at the median and docto-decision in about 47 ms — measured on different hardware, so treat it as a rough guide.
Can I run docto-decision or gliner2-5-decide locally?
Yes, both: systemone pull bofeng-huang/docto-decision and systemone pull fastino-labs/gliner2-5-decide download the weights.
Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark)