# Hugging Face Inference Endpoints vs Nebius AI Cloud (slim) > Nebius AI Cloud scores 67.2 (B) on agent readiness against Hugging Face Inference Endpoints's 64.5 (B), and leads in 4 of 7 scored categories. Hugging Face Inference Endpoints leads on reliability. Both do compute gpu. Category scores, facts, verdicts and agent notes side by… - Full: https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.md (~3,000 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.json · canonical https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud - Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09 Nebius AI Cloud scores 67.2 (B) on agent readiness against Hugging Face Inference Endpoints's 64.5 (B), and leads in 4 of 7 scored categories. Hugging Face Inference Endpoints leads on reliability. Both do compute gpu. - Hugging Face Inference Endpoints: B 64.5, rank #314 of 842 · https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.min.md - Nebius AI Cloud: B 67.2, rank #240 of 842 · https://www.anchorterminal.com/tools/nebius-ai-cloud.min.md - Hugging Face Inference Endpoints, good for Teams whose models already live on the Hugging Face Hub and who want a dedicated endpoint on a named cloud and region with standard open-source engines. Ahead on Reliability, 63 against 57. - Nebius AI Cloud, good for Teams that want whole GPU VMs or InfiniBand clusters in Europe, the UK, Israel or the US with IAM, Terraform and an SLA, and are content to manage endpoint lifecycles themselves. Ahead on Schema & documentation, 78 against 73; Agent ergonomics, 77 against 62; Transparency & trust, 77 against 68. Also Runs on your own machine. | Category | Hugging Face Inference Endpoints | Nebius AI Cloud | | --- | --- | --- | | Reliability (16%) | 63 | 57 | | Performance (10%) | pending | pending | | Schema & documentation (13%) | 73 | 78 | | Agent ergonomics (13%) | 62 | 77 | | Security & auth (14%) | 83 | 81 | | Payments & pricing (10%) | 20 | 20 | | Task success (10%) | pending | pending | | Maintenance & community (7%) | 80 | 82 | | Transparency & trust (7%) | 68 | 77 | | Fact (where they differ) | Hugging Face Inference Endpoints | Nebius AI Cloud | | --- | --- | --- | | Vendor | Hugging Face, Inc. | Nebius | | Hosted endpoint | `https://api.endpoints.huggingface.cloud` | `https://api.nebius.cloud` | | Transports | HTTP | HTTP, stdio | | Price for compute gpu | not published | $1.35 per GPU-hour | | Licence | Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0 | Proprietary service under the Nebius Services Agreement. The API definitions, the Go, Python and JavaScript SDKs and the MCP server on GitHub are MIT | | Tools exposed | 19 | none | | Last release | 2026-10-08 | 2026-10-07 | | Terms last updated | 2022-09-15 | 2026-09-28 | | Privacy policy last updated | 2023-03-28 | 2026-09-23 | | Terms restrict benchmarking | not found in the text | yes | | Terms or service can change without notice | yes | not found in the text | | Arbitration or class-action waiver | not found in the text | yes | | Popularity | 60M PyPI/wk | 4.1k npm/wk, 469k PyPI/wk |