Nebius AI Cloud vs Northflank

Nebius AI Cloud

One API definition generates the REST and gRPC interfaces, the CLI, Terraform provider and three SDKs, with a 602-operation OpenAPI document, X-Idempotency-Key and role-scoped service accounts. The status page lists 14 major incidents between 14 July and 8 October 2026, no request rate limits were found, and signup needs a browser and a card.

Northflank

OpenAPI 3.0 with over 100 paths, enums and per_page, page and cursor on every list. No scale to zero for services; minimum instances must be at least 1.

Nebius AI Cloud

1. Use a service account with an authorised key, then exchange a five-minute RS256 JWT at https://auth.eu.nebius.com/oauth2/token/exchange for a 12-hour Bearer token
2. Send X-Idempotency-Key with a random UUID on every create, update and delete, since a 504 can follow a call that succeeded
3. Poll the returned operation (/ai/v1/endpoints/operations/{id}) until status is set; concurrent operations on one resource are not supported
4. Stop or delete endpoints when idle. A stopped endpoint bills nothing, a stopped Devlab or VM still bills for its disk
5. Check region support first. Serverless AI is absent from eu-south1 and us-north1, and each GPU platform exists in one to four regions
6. Run the beta nebius/mcp-server with safe mode on (the default); nebius_cli_execute can run any CLI command when SAFE_MODE=false

Northflank

1. Issue the agent a team token under an API role limited to one project, not a personal token
2. Read x-ratelimit-remaining and wait x-ratelimit-reset seconds on a 429; the default is 1,000 calls an hour
3. Page lists with per_page up to 100 and the returned cursor instead of numbered pages
4. Use a job, not a service, for anything that finishes; services bill until paused or deleted
5. Fetch any docs page with .md appended to get Markdown