# Hugging Face Inference Endpoints vs Thunder Compute (slim) > Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Thunder Compute's 56.1 (C), and leads in 5 of 7 scored categories. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side. - Full: https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.md (~2,900 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.json · canonical https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute - Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09 Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Thunder Compute's 56.1 (C), and leads in 5 of 7 scored categories. 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 - Thunder Compute: C 56.1, rank #576 of 842 · https://www.anchorterminal.com/tools/thunder-compute.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 Agent ergonomics, 62 against 48; Security & auth, 83 against 51. - Thunder Compute, good for Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP. | Category | Hugging Face Inference Endpoints | Thunder Compute | | --- | --- | --- | | Reliability (16%) | 63 | 65 | | Performance (10%) | pending | pending | | Schema & documentation (13%) | 73 | 70 | | Agent ergonomics (13%) | 62 | 48 | | Security & auth (14%) | 83 | 51 | | Payments & pricing (10%) | 20 | 20 | | Task success (10%) | pending | pending | | Maintenance & community (7%) | 80 | 79 | | Transparency & trust (7%) | 68 | 64 | | Fact (where they differ) | Hugging Face Inference Endpoints | Thunder Compute | | --- | --- | --- | | Vendor | Hugging Face, Inc. | Thunder Compute | | Hosted endpoint | `https://api.endpoints.huggingface.cloud` | `https://api.thundercompute.com:8443/v1` | | Transports | HTTP | HTTP, Streamable HTTP | | Price for compute gpu | not published | $0.219 per GB per month | | Licence | Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0 | Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT | | Tools exposed | 19 | 28 | | MCP registry | not listed | `io.github.Thunder-Compute/thunder-compute` | | Last release | 2026-10-08 | 2026-09-16 | | Terms last updated | 2022-09-15 | 2026-09-28 | | Privacy policy last updated | 2023-03-28 | 2026-09-28 | | Terms restrict benchmarking | not found in the text | yes | | Arbitration or class-action waiver | not found in the text | yes | | Popularity | 60M PyPI/wk | 34 stars |