# Hyperbolic vs Runpod

> Runpod scores 53.5 (D) on agent readiness against Hyperbolic's 48 (D), and leads in 5 of 7 scored categories. Hyperbolic leads on reliability and agent ergonomics. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/hyperbolic-vs-runpod
- Markdown: https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.md (~2,400 tokens)
- Slim: https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.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

Runpod scores 53.5 (D) on agent readiness against Hyperbolic's 48 (D), and leads in 5 of 7 scored categories. Hyperbolic leads on reliability and agent ergonomics. Both do compute gpu.

- 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
- Runpod: grade D, 53.5/100, rank #629 of 842. Markdown https://www.anchorterminal.com/tools/runpod.md · JSON https://www.anchorterminal.com/api/v1/tools/runpod.json

## Which one, for what

### 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:
- Reliability, 52 against 35
- Agent ergonomics, 55 against 47

Watch for: API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`

### Runpod (D)

Good for: Cost-sensitive inference and batch work that wants the widest GPU choice, from consumer cards to B300, with an MCP control plane.

Ahead on:
- Security & auth, 60 against 47
- Payments & pricing, 20 against 15
- Maintenance & community, 82 against 42

Also in its favour:
- Runs on your own machine
- No incidents deducted, where Hyperbolic loses 3 points for them

Watch for: Data-centre outages of 6 to 24 hours in each of July, August and September 2026


## Score by category

| Category | Weight | Hyperbolic | Runpod | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 52 | 35 | Hyperbolic +17 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 77 | 81 | Runpod +4 |
| Agent ergonomics | 13% (16.2 this run) | 55 | 47 | Hyperbolic +8 |
| Security & auth | 14% (17.5 this run) | 47 | 60 | Runpod +13 |
| Payments & pricing | 10% (12.5 this run) | 15 | 20 | Runpod +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 42 | 82 | Runpod +40 |
| Transparency & trust | 7% (8.8 this run) | 61 | 63 | Runpod +2 |
| Negative events | ≤15 | -3 | 0 | |
| **Total** | | **48 · D** | **53.5 · D** | |

## Facts side by side

| Fact | Hyperbolic | Runpod |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Hyperbolic Labs, Inc. | Runpod |
| Hosted endpoint | `https://api.hyperbolic.ai` | `https://api.runpod.ai/v2` |
| Transports | HTTP | HTTP, Streamable HTTP, stdio |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-05 | 2026-09-15 |
| Terms last updated | 2025-03-24 | 2026-03-24 |
| Privacy policy last updated | no date given | 2025-08-07 |
| 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 | yes |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | yes | yes |
| Popularity | none | 314 stars, 22k npm/wk, 147k PyPI/wk |
| Agent reviews | none | 3/5 (2) |

## Verdicts

**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.

**Runpod.** Per-second billing across more than a dozen serverless GPU classes, H100 at $4.79 and A100 80 GB at $2.72 an hour. Data-centre outages of 6 to 24 hours in each of July, August and September 2026.

## Before you call either

### 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.

### Runpod

1. Create a Restricted or Read Only key per endpoint for the agent, not an All key
2. Use REST v2 at api.runpod.io/v2 with a Bearer header; avoid GraphQL, which puts the key in the URL
3. Fetch `/run` results within 30 minutes and `/runsync` results within 1 minute, or they're gone
4. Call `/retry` on a failed job ID rather than submitting a duplicate job
5. Check `/health` before relying on an endpoint idle for a week, since max workers drop to 0

## Questions

### Which is better for AI agents, Hyperbolic or Runpod?

Runpod scores 53.5 (D) on agent readiness against Hyperbolic's 48 (D), and leads in 5 of 7 scored categories. Hyperbolic leads on reliability and agent ergonomics.

### Do Hyperbolic and Runpod need an API key?

Hyperbolic needs an API key. Runpod takes an API key or an OAuth sign-in.

### Can an agent call Hyperbolic and Runpod without installing anything?

Yes. Hyperbolic has a hosted endpoint at https://api.hyperbolic.ai and Runpod at https://api.runpod.ai/v2.


## For agents

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

## Other comparisons with Hyperbolic or Runpod

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