DecisionTune's 395M decision model: ModernBERT-large fine-tuned with a 4 KB scoring head that scores a marker per option, answering a choice or yes/no question in one encoder pass with a probability for every option. Runs locally on CPU or GPU via PyTorch, MLX or ONNX.
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, noul, route, classify
choice, score, noul, classify, extract, route
Architecture
decisiontune
gliner2
Fine-tuned from
answerdotai/modernbert-large
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
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60.2%
Calibration error
—
—
Valid action rate
—
—
Median latency
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38.3 ms
p95 latency
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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 decisiontune and gliner2-5-decide?
decisiontune is from DecisionTune and gliner2-5-decide from Fastino Labs. decisiontune has open weights you can download and run; gliner2-5-decide has open weights and a hosted API. Both answer choice, noul, route and classify questions. Only gliner2-5-decide answers score and extract. gliner2-5-decide is the smaller model, at 340M parameters to 395M.
Which is more accurate, decisiontune or gliner2-5-decide?
Only gliner2-5-decide publishes an accuracy figure (60.2% on Fastino fast-decisions suite (17 datasets)); decisiontune does not, so there is no comparison to make without your own test.
Which is cheaper, decisiontune or gliner2-5-decide?
decisiontune: 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.
Can I run decisiontune or gliner2-5-decide locally?
Yes, both: systemone pull decision-tune/decisiontune and systemone pull fastino-labs/gliner2-5-decide download the weights.
