Celeris-1 Decision Launches, Tops Benchmarks
Celeris-1 Decision is a multimodal model for typed, probabilistic decisions, returning structured noul, choice, and score outputs. Celeris says it beats Jev 1.13.0 and several competing models on accuracy, Brier score, and response time.
This is a practical infrastructure release, not another chatbot—the value is turning model judgments directly into routable application logic.
- –System One API compatibility lets Jev users migrate by changing the endpoint, key, and model name.
- –Typed probabilities can power classification, routing, filtering, scoring, and verification without parsing prose.
- –Image inputs and optional explanations broaden use cases to receipts, documents, screenshots, and visual review workflows.
- –The benchmark claims are promising, but independent methodology and full results are needed to assess generalization and calibration.
- –Explanations add latency, so production systems should reserve them for human-review paths. ([Celeris Decision](https://celeris.ai/decisions), [Celeris documentation](https://docs.celeris.ai/decisions))
DISCOVERED
1h ago
2026-10-08
PUBLISHED
1h ago
2026-10-08
RELEVANCE
AUTHOR
Celeris_ai