OpenAI's decision endpoint, announced at DevDay 2026. It focuses GPT-6 Luna on developer-defined questions that have a finite set of predefined answers, with text or image context, for classification, routing and an agent's next action.
Small open typed-decision model with calibrated probabilities, first-class Nepali coverage.
Decides
choice, classify, route
choice, score, noul, classify, route
Architecture
gpt-6-luna
mira
Fine-tuned from
—
jhu-clsp/mmbert-small
License
proprietary
apache-2.0
Availability
Hosted API
Open weights
Hosted by
OpenAI
—
Input price
—
—
Decision accuracy
—
74.5%
Calibration error
—
0.025
Valid action rate
—
100.0%
Median latency
—
30 ms
p95 latency
—
43 ms
Evaluation suite
—
s1-decision-bench
Latest version
2026.09
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 decisions-api and mira?
decisions-api is from OpenAI and mira from SAGEA. decisions-api is only available as a hosted API; mira has open weights you can download and run. Both answer choice, classify and route questions. Only mira answers score and noul. decisions-api is licensed proprietary; mira, apache-2.0.
Which is more accurate, decisions-api or mira?
Only mira publishes an accuracy figure (74.5% on s1-decision-bench); decisions-api does not, so there is no comparison to make without your own test.
Which is cheaper, decisions-api or mira?
decisions-api: Hosted, price not published. mira: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run decisions-api or mira locally?
mira yes — systemone pull sagea/mira downloads its weights. The other is only served as a hosted API.
