# Cerebrium vs Thunder Compute

> Thunder Compute and Cerebrium score within a point of each other on agent readiness, 56.1 (C) and 55.3 (C). Cerebrium leads on security & auth and payments & pricing. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute
- Markdown: https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md (~2,550 tokens)
- Slim: https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/cerebrium-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 and Cerebrium score within a point of each other on agent readiness, 56.1 (C) and 55.3 (C). Cerebrium leads on security & auth and 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
- 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

### 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 51
- 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

### 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 48

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 | Cerebrium | Thunder Compute | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 48 | 65 | Thunder Compute +17 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 70 | 70 | even |
| Agent ergonomics | 13% (16.2 this run) | 49 | 48 | Cerebrium +1 |
| Security & auth | 14% (17.5 this run) | 60 | 51 | Cerebrium +9 |
| 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 | 79 | Thunder Compute +4 |
| Transparency & trust | 7% (8.8 this run) | 63 | 64 | Thunder Compute +1 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **55.3 · C** | **56.1 · C** | |

## Facts side by side

| Fact | Cerebrium | Thunder Compute |
| --- | --- | --- |
| Kind | Model platform | HTTP API |
| Vendor | Cerebrium Inc. | Thunder Compute |
| Hosted endpoint | `https://rest.cerebrium.ai` | `https://api.thundercompute.com:8443/v1` |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | API key | OAuth or key |
| Pricing | Freemium | Pay per use |
| Price for compute gpu | not published | $0.219 per GB per month |
| x402 | no | no |
| Licence | Proprietary service under Cerebrium's terms of service. The CLI 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 | 2026-09-16 | 2026-09-16 |
| Terms last updated | no date given | 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 | not found in the text | yes |
| Popularity | 920 PyPI/wk | 34 stars |

## 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.

**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

### 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

### 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, Cerebrium or Thunder Compute?

Thunder Compute and Cerebrium score within a point of each other on agent readiness, 56.1 (C) and 55.3 (C). Cerebrium leads on security & auth and payments & pricing.

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

Yes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Thunder Compute at https://api.thundercompute.com:8443/v1.


## For agents

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

## Other comparisons with Cerebrium or Thunder Compute

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- [CoreWeave vs Thunder Compute](https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.md)
- [Hugging Face Inference Endpoints vs Thunder Compute](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.md)
- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)
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- [Lambda Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.md)
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- [Nebius AI Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.md)
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- [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)