Providers /Decart
Inference provider

Decart

Models
5
Data residency
No answer on record
00

Our take

Editorial by LLMap · updated Sep 27, 2026

Decart is a small host for third-party models, and the reason to pick it is privacy: it does not train on prompts and offers a zero-retention option. Its compliance paperwork is otherwise thin, so it suits confidential work rather than regulated procurement.

Use it when the inputs are sensitive and you want a host that does not train on prompts, with a zero-retention option available, or when you need Z.ai GLM or Moonshot Kimi models served that way. Its own offers span a wide price range, so pick the row that fits the budget. Skip it if you need a verified security attestation, a European endpoint, or a host with models of its own.

Strengths
  • It does not train on prompts and offers a zero-retention option, which is the reason to choose it over a host that is merely cheaper.
  • Its own offers span a wide price range, so cost-sensitive work can take the cheaper row and heavier work the dearer one.
Trade-offs
  • An independent security attestation, a European endpoint and even a headquarters country are unverified or undisclosed in our data, so a regulated buyer cannot confirm fit from this page.
  • Every offer we list is a third-party model, so nothing here reflects the host's own capability.
01

Point your tools here

We have not recorded what a router needs for Decart yet — no base URL and no docs link on file. That is our gap, not a sign Decart has no API; its own documentation is the place to look until we close it.

02

Privacy & data handling

These answers cover requests sent to Decart through OpenRouter, as OpenRouter records them, last read 58 min ago. For Decart's own API we hold no answer: check its terms. SOC 2 and the data processing agreement below are hand-checked, not part of that sync.

Trains on prompts
✗No
Logs prompts
✗No
✓Offered
No answer on record
No answer on record

Prompt retention: none.

03

Models & pricing

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