Telnyx's hosted decision models, in beta on Telnyx Inference. One request carries shared state and up to 64 typed questions (choice, yes/no noul, ordered score) and returns a probability per option, with no generated text, on a TypeSafe-compatible /v1/systemone route.
A 396M ModernBERT-large cross-encoder that answers typed questions about a text or a JSON state: one or several options, scores, yes/no with "not stated", spans with evidence quotes, rankings and numeric bins, each with a confidence and an act-or-escalate signal.
Decides
choice, score, noul, classify, route
choice, score, noul, rank, extract
Architecture
telnyx-decision
solvi
Fine-tuned from
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answerdotai/modernbert-large
License
proprietary
apache-2.0
Availability
Hosted API
Open weights
Hosted by
Telnyx
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Input price
$0.035/MTok
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Decision accuracy
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59.4%
Calibration error
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0.210
Valid action rate
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Median latency
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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-flash and solvi?
decision-flash is from Telnyx and solvi from solvi. decision-flash is only available as a hosted API; solvi has open weights you can download and run. Both answer choice, score and noul questions. Only decision-flash answers classify and route. Only solvi answers rank and extract. decision-flash is licensed proprietary; solvi, apache-2.0.
Which is more accurate, decision-flash or solvi?
Only solvi publishes an accuracy figure (59.4% on Fast Decisions public dev split (100 rows x 17 domains, macro), the maker's own harness, zero-shot); decision-flash does not, so there is no comparison to make without your own test.
Which is cheaper, decision-flash or solvi?
decision-flash: $0.035 / $0 per 1M. solvi: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run decision-flash or solvi locally?
solvi yes — systemone pull solvi-ai/solvi downloads its weights. The other is only served as a hosted API.
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Evaluation suite
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Fast Decisions public dev split (100 rows x 17 domains, macro), the maker's own harness, zero-shot
