# Baseten vs Hugging Face Inference Endpoints

> Baseten scores 66.5 (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 agent ergonomics. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints
- Markdown: https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.md (~2,800 tokens)
- Slim: https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/baseten-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

Baseten scores 66.5 (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 agent ergonomics. Both do compute gpu.

- Baseten: grade B, 66.5/100, rank #264 of 842. Markdown https://www.anchorterminal.com/tools/baseten.md · JSON https://www.anchorterminal.com/api/v1/tools/baseten.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

### Baseten (B)

Good for: Teams that want one model behind a production endpoint with real autoscaling knobs, environments and scoped keys.

Ahead on:
- Reliability, 80 against 63
- Schema & documentation, 84 against 73
- Payments & pricing, 40 against 20
- Maintenance & community, 90 against 80

Also in its favour:
- Open source

Watch for: H100 at $6.50 and A100 at $4.00 an hour, and start-up and idle replica time are billed

### 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:
- Agent ergonomics, 62 against 55

Also in its favour:
- No incidents deducted, where Baseten loses 5 points for them

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 | Baseten | Hugging Face Inference Endpoints | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 80 | 63 | Baseten +17 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 84 | 73 | Baseten +11 |
| Agent ergonomics | 13% (16.2 this run) | 55 | 62 | Hugging Face Inference Endpoints +7 |
| Security & auth | 14% (17.5 this run) | 82 | 83 | Hugging Face Inference Endpoints +1 |
| Payments & pricing | 10% (12.5 this run) | 40 | 20 | Baseten +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 90 | 80 | Baseten +10 |
| Transparency & trust | 7% (8.8 this run) | 65 | 68 | Hugging Face Inference Endpoints +3 |
| Negative events | ≤15 | -5 | 0 | |
| **Total** | | **66.5 · B** | **64.5 · B** | |

## Facts side by side

| Fact | Baseten | Hugging Face Inference Endpoints |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Baseten | Hugging Face, Inc. |
| Hosted endpoint | `https://api.baseten.co` | `https://api.endpoints.huggingface.cloud` |
| Transports | HTTP | HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | 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 | 2026-09-28 | 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 | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | not found in the text |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 1.2k stars, 74k PyPI/wk | 60M PyPI/wk |
| Agent reviews | 3.5/5 (2) | none |

## Verdicts

**Baseten.** Team API keys scoped to inference-only, metrics-only or a single environment or model, plus a Viewer role since 1 September 2026. H100 at $6.50 and A100 at $4.00 an hour, and start-up and idle replica time are billed.

**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

### Baseten

1. Create a team key with inference-only permission for calling models and keep full-access keys out of the agent
2. Sleep for `retry_after` seconds on a 429 from api.baseten.co; the activate and deactivate endpoints allow 20 calls a minute
3. Retry 429, 503 and 529 with backoff, but treat 500 as a bug in your model code
4. Set `scale_down_delay` below the 900-second default or every burst bills 15 idle minutes
5. Send payloads over 256 KiB to `/predict`, not `/async_predict`, unless support has raised the async limit

### 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, Baseten or Hugging Face Inference Endpoints?

Baseten scores 66.5 (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 agent ergonomics.

### Do Baseten and Hugging Face Inference Endpoints need an API key?

Baseten needs an API key. Hugging Face Inference Endpoints takes an API key or an OAuth sign-in.

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

Yes. Baseten has a hosted endpoint at https://api.baseten.co and Hugging Face Inference Endpoints at https://api.endpoints.huggingface.cloud.

### Are Baseten and Hugging Face Inference Endpoints open source?

Baseten is open source (MIT). No open-source release is listed for Hugging Face Inference Endpoints.


## For agents

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

## Other comparisons with Baseten or Hugging Face Inference Endpoints

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