The flagship of the vLLM Semantic Router team's Decision 1.0 family. Qwen3.5-9B with a shared candidate head returns a probability for every supplied answer to choice, yes/no and score questions, over a 16,384-token input.
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, classify, route
choice, score, noul, classify, extract, route
Architecture
decision
gliner2
Fine-tuned from
qwen/qwen3.5-9b
fastino/gliner2-large-v1
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights + hosted API
Hosted by
—
Fastino
Input price
—
—
Decision accuracy
77.4%
60.2%
Calibration error
—
—
Valid action rate
—
—
Median latency
—
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 decision and gliner2-5-decide?
decision is from vLLM Semantic Router and gliner2-5-decide from Fastino Labs. decision has open weights you can download and run; gliner2-5-decide has open weights and a hosted API. Both answer choice, score, noul, classify and route questions. Only gliner2-5-decide answers extract. gliner2-5-decide is the smaller model, at 340M parameters to 9.0B.
Which is more accurate, decision or gliner2-5-decide?
They report on different suites — decision 77.4% on vLLM-SR decision benchmark (54 tasks, 3,766 decisions, weighted), 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, decision or gliner2-5-decide?
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.
Can I run decision or gliner2-5-decide locally?
Yes, both: systemone pull vllm-semantic-router/decision and systemone pull fastino-labs/gliner2-5-decide download the weights.
