# Hyperbolic vs Thunder Compute

> Thunder Compute scores 56.1 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 5 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/hyperbolic-vs-thunder-compute
- Markdown: https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md (~2,650 tokens)
- Slim: https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.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

Thunder Compute scores 56.1 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 5 of 7 scored categories. Hyperbolic leads on schema & documentation 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
- Thunder Compute: grade C, 56.1/100, rank #576 of 842. Markdown https://www.anchorterminal.com/tools/thunder-compute.md · JSON https://www.anchorterminal.com/api/v1/tools/thunder-compute.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:
- Schema & documentation, 77 against 70
- Agent ergonomics, 55 against 48

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

### Thunder Compute (C)

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.

Ahead on:
- Reliability, 65 against 52
- Payments & pricing, 20 against 15
- Maintenance & community, 79 against 42

Also in its favour:
- No incidents deducted, where Hyperbolic loses 3 points for them

Watch for: No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability


## Score by category

| Category | Weight | Hyperbolic | Thunder Compute | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 52 | 65 | Thunder Compute +13 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 77 | 70 | Hyperbolic +7 |
| Agent ergonomics | 13% (16.2 this run) | 55 | 48 | Hyperbolic +7 |
| Security & auth | 14% (17.5 this run) | 47 | 51 | Thunder Compute +4 |
| Payments & pricing | 10% (12.5 this run) | 15 | 20 | Thunder Compute +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 42 | 79 | Thunder Compute +37 |
| Transparency & trust | 7% (8.8 this run) | 61 | 64 | Thunder Compute +3 |
| Negative events | ≤15 | -3 | 0 | |
| **Total** | | **48 · D** | **56.1 · C** | |

## Facts side by side

| Fact | Hyperbolic | Thunder Compute |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Hyperbolic Labs, Inc. | Thunder Compute |
| Hosted endpoint | `https://api.hyperbolic.ai` | `https://api.thundercompute.com:8443/v1` |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Pay per use |
| Price for compute gpu | not published | $0.219 per GB per month |
| x402 | no | no |
| Licence | Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT | Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT |
| Tools exposed | none | 28 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | `io.github.Thunder-Compute/thunder-compute` |
| Last release | 2026-10-05 | 2026-09-16 |
| Terms last updated | 2025-03-24 | 2026-09-28 |
| Privacy policy last updated | no date given | 2026-09-28 |
| 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 | yes |
| Terms or service can change without notice | yes | yes |
| Arbitration or class-action waiver | yes | yes |
| Popularity | none | 34 stars |

## 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.

**Thunder Compute.** The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted.

## 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.

### Thunder Compute

1. Call `GET /v2/status` or the `get_availability` tool before creating an instance. Availability can change before launch, and creation fails when a type is sold out.
2. List instances before retrying a failed create, because the call has no idempotency key.
3. Pass `public_key` on create. If omitted, the response carries a generated private key that is returned once.
4. To pause work, create a snapshot, delete the instance and later create a new instance from the snapshot. Snapshot storage keeps billing until deleted.
5. For headless use set `TNR_API_TOKEN` to a token from the console. The MCP server needs a browser sign-in on first connection.

## Questions

### Which is better for AI agents, Hyperbolic or Thunder Compute?

Thunder Compute scores 56.1 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 5 of 7 scored categories. Hyperbolic leads on schema & documentation and agent ergonomics.

### Do Hyperbolic and Thunder Compute need an API key?

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

### Can an agent call Hyperbolic and Thunder Compute without installing anything?

Yes. Hyperbolic has a hosted endpoint at https://api.hyperbolic.ai and Thunder Compute at https://api.thundercompute.com:8443/v1.


## For agents

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

## Other comparisons with Hyperbolic or Thunder Compute

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