# LingDT-Decision-1.0 pricing and access

> LingDT-Decision-1.0 is Ant Digital Technologies' System One model. Its current DTMaaS endpoint is a 4B test model with a ¥0 trial rate.

Updated 2026-11-04 (Australia/Adelaide)

By Ant Digital Technologies (蚂蚁数科) · Released: 2026-10-22 · HOSTED

Ant Digital Technologies' System One model for choosing answers to business questions, including native multi-select and decisions ordered by dependencies. IT之家 reported its 22 Oct 2026 launch in 4B and 27B versions for customer service, risk and finance. Ant's current DTMaaS listing describes the [lingdt-decision-1.0](<https://decisionmodels.ai/models/lingdt-decision>) endpoint as a 4B test model.

## Facts

- Sizes: 4B and 27B announced, per IT之家; the current DTMaaS endpoint identifies itself as 4B
- Try it: Open the DTMaaS model page and its API guide. Use an API key with POST maas-api.antdigital.com/v1/systemone and model [lingdt-decision-1.0](<https://decisionmodels.ai/models/lingdt-decision>); send state, questions and optional DAG dependencies
- Limits: Ant lists 32 questions per request, 255 options, DAG depth 3 and a default 60 requests per minute. Its English and Chinese descriptions disagree on whether the 16K context limit applies per question or per request.
- Price: Ant lists ¥0 per million input and output tokens, with an original input rate of ¥0.20 per million tokens. Checked 04 Nov 2026. The rate is for the 4B test endpoint during a free trial; no trial end date was established. · [Compare prices](<https://decisionmodels.ai/pricing>)
- Compare: [Jev](<https://decisionmodels.ai/models/jev>) and [Microsoft-Decision-1](<https://decisionmodels.ai/models/microsoft-decision-1>) are hosted alternatives, each listed at $0.042 per million input tokens. LingDT's free-trial price covers a 4B test endpoint; these rates do not compare accuracy

## Claims and sources

- **VENDOR-REPORTED**: Across 23 open benchmarks, Ant says [LingDT-Decision-1.0](<https://decisionmodels.ai/models/lingdt-decision>) beats [Microsoft-Decision-1](<https://decisionmodels.ai/models/microsoft-decision-1>) and [Jev](<https://decisionmodels.ai/models/jev>) 1.13, with the 27B version most accurate in its size class. These are Ant's results as reported by IT之家, not an independent comparison. [source](<https://www.ithome.com/1/016/633.htm>)
- **VENDOR-REPORTED**: IT之家 reports Ant's claim of over 90% fewer tokens and up to 10x faster responses than LLMs in its customer-service, risk and finance tests. [source](<https://www.ithome.com/1/016/633.htm>)

## Links

- [Source: DTMaaS model page](<https://maas.antdigital.com/models/modelservice-1792325631780001741>)
- [Source: Official model data and API example](<https://maas.antdigital.com/api/v1/model-service/public/get/modelservice-1792325631780001741>)
- [Source: API guide](<https://maas.antdigital.com/docs/lingdt-decision-api-guide>)
- [Source: Launch report (IT之家)](<https://www.ithome.com/1/016/633.htm>)
- [Source: Jev pricing source](<https://docs.typesafe.ai/models>)
- [Source: Microsoft-Decision-1 source](<https://commandline.microsoft.com/microsoft-decision-1-model-foundry/>)

## Related projects

No related projects are listed in the registry.