# Cerebrium vs Hugging Face Inference Endpoints

> Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments & pricing. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints
- Markdown: https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.md (~2,800 tokens)
- Slim: https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.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 Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments & pricing. Both do compute gpu.

- Cerebrium: grade C, 55.3/100, rank #593 of 842. Markdown https://www.anchorterminal.com/tools/cerebrium.md · JSON https://www.anchorterminal.com/api/v1/tools/cerebrium.json
- Hugging Face Inference Endpoints: grade B, 64.5/100, rank #314 of 842. Markdown https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.md · JSON https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-endpoints.json

## Which one, for what

### Cerebrium (C)

Good for: Teams serving their own models as real-time endpoints (voice, LLM, image) who want per-second billing, multi-region placement and a scriptable management API.

Ahead on:
- Payments & pricing, 30 against 20

Watch for: `disable_auth` defaults to true, so a deployed endpoint answers without a token unless the owner changes it

### Hugging Face Inference Endpoints (B)

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 48
- Agent ergonomics, 62 against 49
- Security & auth, 83 against 60
- Maintenance & community, 80 against 75
- Transparency & trust, 68 against 63

Watch for: No free tier. The docs require a payment method and credits, and replicas are billed while initialising as well as running


## Score by category

| Category | Weight | Cerebrium | Hugging Face Inference Endpoints | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 48 | 63 | Hugging Face Inference Endpoints +15 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 70 | 73 | Hugging Face Inference Endpoints +3 |
| Agent ergonomics | 13% (16.2 this run) | 49 | 62 | Hugging Face Inference Endpoints +13 |
| Security & auth | 14% (17.5 this run) | 60 | 83 | Hugging Face Inference Endpoints +23 |
| Payments & pricing | 10% (12.5 this run) | 30 | 20 | Cerebrium +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 75 | 80 | Hugging Face Inference Endpoints +5 |
| Transparency & trust | 7% (8.8 this run) | 63 | 68 | Hugging Face Inference Endpoints +5 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **55.3 · C** | **64.5 · B** | |

## Facts side by side

| Fact | Cerebrium | Hugging Face Inference Endpoints |
| --- | --- | --- |
| Kind | Model platform | HTTP API |
| Vendor | Cerebrium Inc. | Hugging Face, Inc. |
| Hosted endpoint | `https://rest.cerebrium.ai` | `https://api.endpoints.huggingface.cloud` |
| Transports | HTTP | HTTP |
| Auth | API key | OAuth or key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Proprietary service under Cerebrium's terms of service. The CLI is MIT | Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0 |
| Tools exposed | none | 19 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-16 | 2026-10-08 |
| Terms last updated | no date given | 2022-09-15 |
| Privacy policy last updated | no date given | 2023-03-28 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | not found in the text | not found in the text |
| Terms or service can change without notice | yes | yes |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 920 PyPI/wk | 60M PyPI/wk |

## Verdicts

**Cerebrium.** Per-second GPU prices are public, a 94-operation OpenAPI spec covers the management API, and service account tokens expire and are limited to named projects. Deployed endpoints are callable without a token unless `disable_auth = false` is set, and no request rate limits, 429 handling or SLA were found in the reviewed documentation.

**Hugging Face Inference Endpoints.** OAuth scopes separate reading endpoints from writing them, both OpenAPI documents are public, and the unauthenticated `/v2/provider` route lists every instance with its hourly price. An account needs a payment method and credits before the first deployment, no rate limits or SLA were found for the management API, and the docs price table disagrees with the live list in places.

## Before you call either

### Cerebrium

1. Set `disable_auth = false` in `cerebrium.toml` before deploying. The default leaves the endpoint callable by anyone with the URL
2. Authenticate headless with `CEREBRIUM_SERVICE_ACCOUNT_TOKEN`. `cerebrium login` opens a browser
3. Raise `response_grace_period` for long work. It defaults to 15 minutes and async runs stop at 12 hours
4. Send `?async=true` to get a `run_id` with HTTP 202, and add `webhookEndpoint` because async calls return no result to the caller
5. Check the plan before choosing hardware. A100, H100, H200, B200 and RTX PRO 6000 need Standard, and `protected` compute bills at twice the listed rate

### Hugging Face Inference Endpoints

1. Call `GET https://api.endpoints.huggingface.cloud/v2/provider` first and pick an instance whose `status` is `available`. The docs table lists types the API marks deprecated or not available
2. Send `X-Scale-Up-Timeout: 600` on requests to an endpoint that scales to zero, or handle 503 while the first replica starts
3. Set `scaleToZeroTimeout` yourself. The docs give a default of 1 hour and the OpenAPI document says 15 minutes
4. Pause or delete an endpoint when the job is done. Billing covers every minute a replica is initialising or running
5. Give the agent a fine-grained token or the `read-endpoints` scope unless it must deploy. Endpoints are private by default and take the same Hugging Face token as a bearer

## Questions

### Which is better for AI agents, Cerebrium or Hugging Face Inference Endpoints?

Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments & pricing.

### Can an agent call Cerebrium and Hugging Face Inference Endpoints without installing anything?

Yes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Hugging Face Inference Endpoints at https://api.endpoints.huggingface.cloud.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "cerebrium", "b": "hugging-face-inference-endpoints"}`. From a terminal: `anchor compare cerebrium hugging-face-inference-endpoints`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cerebrium.json and https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-endpoints.json

## Other comparisons with Cerebrium or Hugging Face Inference Endpoints

- [Baseten vs Cerebrium](https://www.anchorterminal.com/compare/baseten-vs-cerebrium.md)
- [Baseten vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.md)
- [Beam vs Cerebrium](https://www.anchorterminal.com/compare/beam-vs-cerebrium.md)
- [Beam vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.md)
- [Cerebrium vs CoreWeave](https://www.anchorterminal.com/compare/cerebrium-vs-coreweave.md)
- [Cerebrium vs Hyperbolic](https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.md)
- [Cerebrium vs Koyeb](https://www.anchorterminal.com/compare/cerebrium-vs-koyeb.md)
- [Cerebrium vs Lambda Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-lambda.md)
- [Cerebrium vs Modal](https://www.anchorterminal.com/compare/cerebrium-vs-modal.md)
- [Cerebrium vs Nebius AI Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-nebius-ai-cloud.md)
- [Cerebrium vs Northflank](https://www.anchorterminal.com/compare/cerebrium-vs-northflank.md)
- [Cerebrium vs Replicate Deployments](https://www.anchorterminal.com/compare/cerebrium-vs-replicate-deploy.md)
- [Cerebrium vs Runpod](https://www.anchorterminal.com/compare/cerebrium-vs-runpod.md)
- [Cerebrium vs Thunder Compute](https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md)
- [Cerebrium vs Vast.ai](https://www.anchorterminal.com/compare/cerebrium-vs-vast-ai.md)
- [Cerebrium vs Verda](https://www.anchorterminal.com/compare/cerebrium-vs-verda.md)
- [CoreWeave vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.md)
- [Hugging Face Inference Endpoints vs Hyperbolic](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.md)
- [Hugging Face Inference Endpoints vs Koyeb](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-koyeb.md)
- [Hugging Face Inference Endpoints vs Lambda Cloud](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-lambda.md)
- [Hugging Face Inference Endpoints vs Modal](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal.md)
- [Hugging Face Inference Endpoints vs Nebius AI Cloud](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.md)
- [Hugging Face Inference Endpoints vs Northflank](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank.md)
- [Hugging Face Inference Endpoints vs Replicate Deployments](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy.md)
- [Hugging Face Inference Endpoints vs Runpod](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-runpod.md)
- [Hugging Face Inference Endpoints vs Thunder Compute](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.md)
- [Hugging Face Inference Endpoints vs Vast.ai](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-vast-ai.md)
- [Hugging Face Inference Endpoints vs Verda](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda.md)