# Cerebrium vs Hyperbolic > Cerebrium scores 55.3 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 4 of 7 scored categories. Hyperbolic leads on schema & documentation and agent ergonomics. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic - Markdown: https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.md (~2,500 tokens) - Slim: https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.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 Cerebrium scores 55.3 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 4 of 7 scored categories. Hyperbolic leads on schema & documentation and agent ergonomics. 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 - Hyperbolic: grade D, 48/100, rank #730 of 842. Markdown https://www.anchorterminal.com/tools/hyperbolic.md · JSON https://www.anchorterminal.com/api/v1/tools/hyperbolic.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: - Security & auth, 60 against 47 - Payments & pricing, 30 against 15 - Maintenance & community, 75 against 42 Also in its favour: - No incidents deducted, where Hyperbolic loses 3 points for them Watch for: `disable_auth` defaults to true, so a deployed endpoint answers without a token unless the owner changes it ### Hyperbolic (D) Good for: Agents that rent whole H100, H200 or B200 machines or multi-node clusters for training and batch work and that have a funded account. Ahead on: - Schema & documentation, 77 against 70 - Agent ergonomics, 55 against 49 Watch for: API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me` ## Score by category | Category | Weight | Cerebrium | Hyperbolic | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 48 | 52 | Hyperbolic +4 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 70 | 77 | Hyperbolic +7 | | Agent ergonomics | 13% (16.2 this run) | 49 | 55 | Hyperbolic +6 | | Security & auth | 14% (17.5 this run) | 60 | 47 | Cerebrium +13 | | Payments & pricing | 10% (12.5 this run) | 30 | 15 | Cerebrium +15 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 75 | 42 | Cerebrium +33 | | Transparency & trust | 7% (8.8 this run) | 63 | 61 | Cerebrium +2 | | Negative events | ≤15 | 0 | -3 | | | **Total** | | **55.3 · C** | **48 · D** | | ## Facts side by side | Fact | Cerebrium | Hyperbolic | | --- | --- | --- | | Kind | Model platform | HTTP API | | Vendor | Cerebrium Inc. | Hyperbolic Labs, Inc. | | Hosted endpoint | `https://rest.cerebrium.ai` | `https://api.hyperbolic.ai` | | Transports | HTTP | HTTP | | Auth | API key | API 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 Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-09-16 | 2026-10-05 | | Terms last updated | no date given | 2025-03-24 | | Privacy policy last updated | no date given | no date given | | Customer content may train models | not found in the text | not found in the text | | Terms restrict automated access | yes | yes | | 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 | yes | | Popularity | 920 PyPI/wk | none | ## 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. **Hyperbolic.** The API serves its own OpenAPI 3.1 document without a key, lists GPU prices on an open endpoint and dates the removal of legacy paths at 1 March 2027. API keys carry no scopes and can delete the account, rental creation has no idempotency key, and renting needs a browser signup and a $5 deposit. ## 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 ### Hyperbolic 1. Read `GET /v2/on-demand/rental-options` first. It needs no key and lists what can be rented now, with `costPerHourCents` per GPU configuration. 2. Send `rentalType` and `gpuCount` to `POST /v2/on-demand/rentals`. Region defaults to `us-central-1` and GPU type to `h100`, so set both from the options list. 3. List active rentals before retrying a failed create call. There is no idempotency key and every ready rental bills hourly. 4. Save an SSH public key with `POST /v2/ssh-keys` before renting. Without `sshPublicKeyIds` the newest saved key is attached. 5. Do not create reserved rentals unless asked. They are paid in full up front and cannot be terminated early. ## Questions ### Which is better for AI agents, Cerebrium or Hyperbolic? Cerebrium scores 55.3 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 4 of 7 scored categories. Hyperbolic leads on schema & documentation and agent ergonomics. ### Can an agent call Cerebrium and Hyperbolic without installing anything? Yes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Hyperbolic at https://api.hyperbolic.ai. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "cerebrium", "b": "hyperbolic"}`. From a terminal: `anchor compare cerebrium hyperbolic` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/cerebrium.json and https://www.anchorterminal.com/api/v1/tools/hyperbolic.json ## Other comparisons with Cerebrium or Hyperbolic - [Baseten vs Cerebrium](https://www.anchorterminal.com/compare/baseten-vs-cerebrium.md) - [Baseten vs Hyperbolic](https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.md) - [Beam vs Cerebrium](https://www.anchorterminal.com/compare/beam-vs-cerebrium.md) - [Beam vs Hyperbolic](https://www.anchorterminal.com/compare/beam-vs-hyperbolic.md) - [Cerebrium vs CoreWeave](https://www.anchorterminal.com/compare/cerebrium-vs-coreweave.md) - [Cerebrium vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.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 Hyperbolic](https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.md) - [Hugging Face Inference Endpoints vs Hyperbolic](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.md) - [Hyperbolic vs Koyeb](https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.md) - [Hyperbolic vs Lambda Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-lambda.md) - [Hyperbolic vs Modal](https://www.anchorterminal.com/compare/hyperbolic-vs-modal.md) - [Hyperbolic vs Nebius AI Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.md) - [Hyperbolic vs Northflank](https://www.anchorterminal.com/compare/hyperbolic-vs-northflank.md) - [Hyperbolic vs Replicate Deployments](https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy.md) - [Hyperbolic vs Runpod](https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.md) - [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md) - [Hyperbolic vs Vast.ai](https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai.md) - [Hyperbolic vs Verda](https://www.anchorterminal.com/compare/hyperbolic-vs-verda.md)