{ "data": { "a": { "slug": "beam", "name": "Beam", "vendor": "Beam", "vendorUrl": "https://www.beam.cloud", "kind": "platform", "category": "gpu-compute", "summary": "Serverless GPU endpoints, task queues, functions, pods and sandboxes from Python decorators, on the open-source beta9 runtime.", "url": "https://www.anchorterminal.com/tools/beam", "markdownUrl": "https://www.anchorterminal.com/tools/beam.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/beam.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/beam.json", "repo": "https://github.com/beam-cloud/beta9", "license": "AGPL-3.0", "transports": [ "http" ], "remoteUrl": "https://app.beam.cloud/api/v1", "packages": [ { "registry": "pypi", "name": "beam-client" } ], "auth": "api-key", "authNotes": "API token from platform.beam.cloud, read from `BEAM_TOKEN` by the SDK and CLI or stored by `beam login` in `~/.beam/config.ini`, with named contexts for several workspaces. Deployed endpoints take the same token as `Authorization: Bearer`. The TypeScript SDK sets `beamOpts.token` server-side.", "pricing": "freemium", "pricingNotes": "Developer plan is free plus usage, Team $89 a month plus usage, Growth on request. Billed by the millisecond only while a container runs, which includes `on_start` and `keep_warm_seconds`; cold starts and image pulls aren't billed. Serverless GPUs are RTX 4090 24 GB $0.000192 a second ($0.69 an hour), RTX 5090 32 GB $0.000303 ($1.09), H100 PCIe 80 GB $0.000972 ($3.50). Reserved on-demand machines from $0.44 an hour (RTX 4090), $1.36 (A100 80 GB), $1.83 (H100 PCIe), $2.09 (H200), $4.11 (B200), billed until released even when idle. CPU $0.0000125 a core-second and RAM $0.0000021 a GiB-second on CPU-only work, $0.000105 and $0.0000055 when attached to a GPU, $0.0000375 and $0.0000064 in sandboxes. Storage 1 TB included, then $0.021 a GB-month (https://www.beam.cloud/pricing, https://docs.beam.cloud/v2/resources/pricing-and-billing).", "priceSummary": "$0.045 / vCPU-hr", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 1800, "npmWeekly": null, "pypiWeekly": 8481, "asOf": "2026-09-30" }, "docsUrl": "https://docs.beam.cloud", "llmsTxt": "https://docs.beam.cloud/llms.txt", "capabilities": [ "compute.gpu", "compute.serverless", "compute.endpoints", "compute.batch", "compute.containers" ], "tags": [ "hosted", "freemium", "free-tier", "open-source", "self-hosted", "python", "typescript", "llms-txt", "async-jobs" ], "lastRelease": "2026-10-01", "graded": true, "anchor": { "graded": true, "score": 55.5, "grade": "C", "agentReady": false, "rank": 588, "ranked": true, "rankOf": 842, "categoryRank": 11, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 58, "maintenance": 85, "payments": 40, "reliability": 55, "schema": 58, "security": 50, "transparency": 74 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "-2: `beam deploy --format json` writes the full workspace bearer token into the JSON logs array that CI systems keep. Filed by a Beam engineer on 2026-08-04 and still open on 2026-10-01 (https://github.com/beam-cloud/beta9/issues/1828)" ], "verdict": "Per-millisecond billing with cold starts and image pulls free, H100 PCIe at $3.50 and RTX 4090 at $0.69 an hour. No published request rate limits, 429 handling or SLA.", "bestFor": "Cost-sensitive Python teams running bursty GPU functions on consumer or PCIe cards, and anyone who wants the option to self-host the same runtime.", "strengths": [ "Per-millisecond billing with cold starts and image pulls free, H100 PCIe at $3.50 and RTX 4090 at $0.69 an hour", "Free Developer plan with no card required", "beta9, the engine the hosted cloud runs on, is AGPL-3.0 and self-hostable", "Workspace REST API and an official MCP server, local or remote, on the same token", "Privacy policy with retention periods per category and a published subprocessor list" ], "weaknesses": [ "No published request rate limits, 429 handling or SLA", "No public changelog or deprecation notices; releases show up only on PyPI and GitHub", "Tokens have no documented scopes or read-only mode", "`beam deploy --format json` leaks the workspace token into its logs, open since 4 August 2026", "Status page silent since June 2025 despite sign-up failures reported on GitHub in August 2026" ], "agentNotes": [ "Check the response body for `ok: false` on gateway calls; a failure can arrive as HTTP 200", "Don't pipe `beam deploy --format json` output into CI logs, since it contains the workspace token", "Route anything over 180 seconds to a task queue and poll the task instead of holding the endpoint request", "Set `keep_warm_seconds` deliberately; the 180-second endpoint default bills three minutes of GPU after every call", "Pass `gpu=[\"RTX4090\", \"A10G\"]` so a job still schedules when one type is out" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.5 } ], "editorialScores": { "ergonomics": 58, "maintenance": 85, "payments": 40, "reliability": 55, "schema": 58, "security": 50, "transparency": 71 }, "provenanceScore": 76 }, "connect": { "install": "pip install beam-client \u0026\u0026 beam login", "http": "curl -X POST \"https://my-function-$BEAM_DEPLOYMENT_ID-v1.app.beam.cloud\" \\\n -H \"Authorization: Bearer $BEAM_TOKEN\" -H \"Content-Type: application/json\" \\\n -d '{\"x\":10}'" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/beam" }, "area": "models", "unitPrices": [ { "item": "H100 PCIe 80 GB serverless", "unit": "gpu-hour", "usd": 3.5, "note": "$0.000972 a second" }, { "item": "RTX 5090 32 GB serverless", "unit": "gpu-hour", "usd": 1.09, "note": "$0.000303 a second" }, { "item": "RTX 4090 24 GB serverless", "unit": "gpu-hour", "usd": 0.69, "note": "$0.000192 a second" }, { "item": "B200 180 GB reserved machine", "unit": "gpu-hour", "usd": 4.11, "note": "From price, billed while reserved" }, { "item": "H200 141 GB reserved machine", "unit": "gpu-hour", "usd": 2.09, "note": "From price, billed while reserved" }, { "item": "A100 80 GB reserved machine", "unit": "gpu-hour", "usd": 1.36, "note": "From price, billed while reserved" }, { "item": "CPU-only compute", "unit": "vcpu-hour", "usd": 0.045, "note": "$0.0000125 a core-second, RAM extra at $0.0000021 a GiB-second" }, { "item": "Team plan", "unit": "month", "usd": 89, "note": "Plus usage" } ], "provenance": { "legalEntity": "Smartshare, Inc.", "domain": "beam.cloud", "domainRegistered": "2019-07-31", "endpointOnVendorDomain": true, "terms": "https://docs.beam.cloud/v2/security/terms-and-conditions", "privacy": "https://docs.beam.cloud/v2/security/privacy-policy", "statusPage": "https://status.beam.cloud", "changelog": "", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Terms dated 14 September 2026 name Smartshare, Inc., a Delaware corporation doing business as Beam. The site footer reads © 2026 Smartshare, Inc.", "Deployed endpoints run on app.beam.cloud, a subdomain of the vendor domain. There's no public REST base URL for deploying.", "www.beam.cloud/.well-known/security.txt and www.beam.cloud/terms return 404; the legal pages live under docs.beam.cloud.", "No public changelog found; releases show up as commits in the beam-client and beta9 repositories." ], "score": 76 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/beam.json", "live": { "slug": "beam", "probe": { "target": "https://app.beam.cloud/api/v1", "method": "get", "lastAt": "2026-10-09T09:26:44.334998178Z", "lastOk": true, "lastStatus": 404, "lastMs": 325, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 259, "p95ms24h": 293, "samples24h": 261, "samples30d": 1828, "days": [ { "date": "2026-10-02", "probes": 100, "ok": 100 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 101, "ok": 101 } ] }, "vendorStatus": { "page": "https://status.beam.cloud", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T09:24:53.990211026Z" }, "versions": [ { "registry": "github", "name": "beam-cloud/beta9", "version": "worker-0.1.784", "released": "2026-10-08", "seenAt": "2026-10-08T16:02:16.626392221Z" }, { "registry": "pypi", "name": "beam-client", "version": "0.2.217", "released": "2026-10-02", "seenAt": "2026-10-08T16:02:12.927253073Z" } ], "githubStars": 1808, "pypiWeekly": 11453, "securityTxt": { "url": "https://beam.cloud/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:32.528161877Z" }, "llmsTxt": { "url": "https://docs.beam.cloud/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:06.68929769Z" }, "domain": { "domain": "beam.cloud", "registered": "2019-07-31", "source": "https://rdap.registry.cloud/rdap/domain/beam.cloud", "checkedAt": "2026-10-04T13:04:15.987834596Z" }, "pages": [ { "url": "https://docs.beam.cloud/v2/resources/pricing-and-billing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:18:17.165216387Z", "changedAt": "2026-10-04T15:43:14.08690057Z", "fingerprint": "9430ae529da0" }, { "url": "https://www.beam.cloud/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-08T18:26:31.580865394Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "dedbd2b07b0a" }, { "url": "https://docs.beam.cloud/v2/security/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:18:19.273074934Z", "changedAt": "2026-10-04T15:43:16.313382922Z", "fingerprint": "4072b33654b6" }, { "url": "https://docs.beam.cloud/v2/security/terms-and-conditions", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:18:21.299976682Z", "changedAt": "2026-10-04T15:43:18.294864193Z", "fingerprint": "988292e328cf" } ], "updatedAt": "2026-10-09T09:26:44.334998178Z" } }, "answer": "Beam scores 55.5 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation.", "b": { "slug": "hyperbolic", "name": "Hyperbolic", "vendor": "Hyperbolic Labs, Inc.", "vendorUrl": "https://www.hyperbolic.ai", "kind": "http-api", "category": "gpu-compute", "summary": "Hyperbolic is a GPU cloud from Hyperbolic Labs that rents H100, H200 and B200 virtual machines and bare-metal nodes by the hour, with reserved terms and private clusters. Agents use its REST API with an API key.", "url": "https://www.anchorterminal.com/tools/hyperbolic", "markdownUrl": "https://www.anchorterminal.com/tools/hyperbolic.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hyperbolic.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hyperbolic.json", "license": "Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT", "transports": [ "http" ], "remoteUrl": "https://api.hyperbolic.ai", "packages": [], "auth": "api-key", "authNotes": "Self-serve. A signed-in user creates an API key in the console's settings, and the secret is shown once. Requests send it as `Authorization: Bearer \u003capi-key\u003e`. An account can hold any number of keys and revoke any of them. Keys created inside an Organisation belong to it and are attributed to the member who made them. Members revoke their own keys and admins revoke any. No scopes, read-only keys or expiry were found in the reviewed documentation. `GET /v2/openapi.json`, `GET /v2/on-demand/rental-options` and `GET /v2/on-demand/reserve-options` need no key.", "pricing": "usage", "pricingNotes": "Prepaid credits, minimum purchase $5 through Stripe, 1 to 1 with dollars and with no expiry. A new account is on the free tier and cannot rent GPUs or storage until it has deposited $5 once. No trial was found, apart from credit codes handed out at events. On-demand rentals bill hourly from the moment an instance is ready, and the balance must cover one hour of all running instances. On 8 October 2026 the open price list showed one H100 virtual machine at $3.19 an hour. Reserved terms of 7, 14 and 30 days take 1, 3 and 5 per cent off and are paid up front. Private Cloud is by contract (https://www.hyperbolic.ai/docs/on-demand/pricing).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs corpus or the OpenAPI document for the GPU API. The archived HyperbolicLabs/hyperbolic-x402 repository covered chat completions on a separate host, not GPU rentals (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://www.hyperbolic.ai/docs/overview/overview", "llmsTxt": "https://www.hyperbolic.ai/docs/llms.txt", "openapi": "https://api.hyperbolic.ai/v2/openapi.json", "capabilities": [ "compute.gpu" ], "tags": [ "hosted", "usage-priced", "openapi", "llms-txt", "api-key", "bare-metal", "status-page", "prepaid" ], "lastRelease": "2026-10-05", "graded": true, "anchor": { "graded": true, "score": 48, "grade": "D", "agentReady": false, "rank": 730, "ranked": true, "rankOf": 842, "categoryRank": 15, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 55, "maintenance": 42, "payments": 15, "reliability": 52, "schema": 77, "security": 47, "transparency": 61 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -3, "negativeNotes": [ "2026-10-05, removing the `roles` list from the `GET /v2/users/me` response and changing timestamps to RFC 3339 on the v2 API. Both are recorded in the changelog entry for the week they shipped, and no advance notice was found. Documented, so 3 points (https://www.hyperbolic.ai/docs/changelog)." ], "verdict": "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.", "bestFor": "Agents that rent whole H100, H200 or B200 machines or multi-node clusters for training and batch work and that have a funded account.", "strengths": [ "OpenAPI 3.1 document with 65 operations and 53 schemas, served by the API at `GET /v2/openapi.json` with no key", "`GET /v2/on-demand/rental-options` returns live GPU configurations and hourly prices in cents with no key", "Deprecated paths answer with a `Sunset` header and a stated end date of 1 March 2027, and each names its replacement", "Docs index at `/docs/llms.txt`, every page as Markdown and the whole corpus in `llms-full.txt` (188 KB)", "Billing starts only when an instance is ready, and instances that fail to provision within about 3 hours are not charged, per the pricing docs" ], "weaknesses": [ "API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`", "`POST /v2/on-demand/rentals` has no idempotency key, so a retried call can start a second billed rental", "No 429 response, `Retry-After` header or backoff guidance was found in the spec or the docs", "A free-tier account cannot rent GPUs or storage. Renting needs a one-time deposit of at least $5 through Stripe", "The Terms of Service describe a marketplace in which uptime is between buyer and supplier, while the docs state a 99.5 per cent uptime SLA", "No official SDK or CLI for the v2 API was found. The vendor's MCP repository last changed in May 2025 and calls the legacy v1 marketplace paths" ], "agentNotes": [ "Read `GET /v2/on-demand/rental-options` first. It needs no key and lists what can be rented now, with `costPerHourCents` per GPU configuration.", "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.", "List active rentals before retrying a failed create call. There is no idempotency key and every ready rental bills hourly.", "Save an SSH public key with `POST /v2/ssh-keys` before renting. Without `sshPublicKeyIds` the newest saved key is attached.", "Do not create reserved rentals unless asked. They are paid in full up front and cannot be terminated early." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48 } ], "editorialScores": { "ergonomics": 55, "maintenance": 42, "payments": 15, "reliability": 52, "schema": 77, "security": 47, "transparency": 45 }, "provenanceScore": 76 }, "connect": { "http": "curl -X POST https://api.hyperbolic.ai/v2/ssh-keys -H \"Authorization: Bearer $HYPERBOLIC_API_KEY\" -H \"Content-Type: application/json\" -d \"{\\\"publicKey\\\": \\\"$(cat ~/.ssh/id_ed25519.pub)\\\", \\\"name\\\": \\\"Work laptop\\\"}\"" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/hyperbolic" }, "area": "models", "unitPrices": [ { "item": "H100 SXM5 80 GB virtual machine, on-demand", "unit": "gpu-hour", "usd": 3.19, "note": "The one configuration on the open price list on 8 October 2026 (us-east-1). Reserved terms take 1 to 5 per cent off" } ], "provenance": { "legalEntity": "Hyperbolic Labs, Inc.", "domain": "hyperbolic.ai", "domainRegistered": "2021-10-11", "endpointOnVendorDomain": true, "terms": "https://www.hyperbolic.ai/terms", "privacy": "https://www.hyperbolic.ai/privacy", "statusPage": "https://status.hyperbolic.ai", "changelog": "https://www.hyperbolic.ai/docs/changelog", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Terms of Service, last updated 24 March 2025, name Hyperbolic Labs, Inc. as owner and operator of the platform, apply California law and set AAA arbitration. They cover the website and all services, and no separate API or cloud agreement was found.", "The Privacy Policy is effective 3 June 2024 and names Hyperbolic Labs, Inc. One clause on business transfers names Babylon three times where the company's own name would be expected.", "The API answers at api.hyperbolic.ai, a subdomain of the vendor domain, and on the legacy host api.hyperbolic.xyz.", "https://www.hyperbolic.ai/.well-known/security.txt answered 404. The docs ask for vulnerability reports by email to support@hyperbolic.ai.", "RDAP for hyperbolic.ai gives a registration date of 2021-10-11." ], "score": 76 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/hyperbolic.json", "live": { "slug": "hyperbolic", "probe": { "target": "https://api.hyperbolic.ai", "method": "get", "lastAt": "2026-10-09T09:26:53.067365056Z", "lastOk": true, "lastStatus": 200, "lastMs": 727, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 663, "p95ms24h": 736, "samples24h": 20, "samples30d": 20, "days": [ { "date": "2026-10-09", "probes": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.hyperbolic.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:04.049851546Z" }, "updatedAt": "2026-10-09T09:26:53.067365056Z" } }, "facts": [ { "a": "Model platform", "b": "HTTP API", "name": "Kind" }, { "a": "Beam", "b": "Hyperbolic Labs, Inc.", "name": "Vendor" }, { "a": "https://app.beam.cloud/api/v1", "b": "https://api.hyperbolic.ai", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "AGPL-3.0", "b": "Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-01", "b": "2026-10-05", "name": "Last release" }, { "a": "2026-09-14", "b": "2025-03-24", "name": "Terms last updated" }, { "a": "2026-09-14", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "1.8k stars, 8.5k PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Beam scores 55.5 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation.", "question": "Which is better for AI agents, Beam or Hyperbolic?" }, { "answer": "Yes. Beam has a hosted endpoint at https://app.beam.cloud/api/v1 and Hyperbolic at https://api.hyperbolic.ai.", "question": "Can an agent call Beam and Hyperbolic without installing anything?" }, { "answer": "Beam is open source (AGPL-3.0). No open-source release is listed for Hyperbolic.", "question": "Are Beam and Hyperbolic open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 40 against 15", "Maintenance \u0026 community, 85 against 42", "Transparency \u0026 trust, 74 against 61" ], "also": [ "Open source" ], "goodFor": "Cost-sensitive Python teams running bursty GPU functions on consumer or PCIe cards, and anyone who wants the option to self-host the same runtime.", "slug": "beam", "watchFor": "No published request rate limits, 429 handling or SLA" }, { "aheadOn": [ "Schema \u0026 documentation, 77 against 58" ], "also": null, "goodFor": "Agents that rent whole H100, H200 or B200 machines or multi-node clusters for training and batch work and that have a funded account.", "slug": "hyperbolic", "watchFor": "API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`" } ], "job": { "capability": "compute.gpu", "name": "Compute gpu" }, "others": [ { "json": "https://www.anchorterminal.com/compare/baseten-vs-beam.json", "title": "Baseten vs Beam", "url": "https://www.anchorterminal.com/compare/baseten-vs-beam" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.json", "title": "Baseten vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-cerebrium.json", "title": "Beam vs Cerebrium", "url": "https://www.anchorterminal.com/compare/beam-vs-cerebrium" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-coreweave.json", "title": "Beam vs CoreWeave", "url": "https://www.anchorterminal.com/compare/beam-vs-coreweave" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.json", "title": "Beam vs Hugging Face Inference Endpoints", "url": "https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-koyeb.json", "title": "Beam vs Koyeb", "url": "https://www.anchorterminal.com/compare/beam-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-lambda.json", "title": "Beam vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/beam-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-modal.json", "title": "Beam vs Modal", "url": "https://www.anchorterminal.com/compare/beam-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-nebius-ai-cloud.json", "title": "Beam vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/beam-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-northflank.json", "title": "Beam vs Northflank", "url": "https://www.anchorterminal.com/compare/beam-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-replicate-deploy.json", "title": "Beam vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/beam-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-runpod.json", "title": "Beam vs Runpod", "url": "https://www.anchorterminal.com/compare/beam-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-thunder-compute.json", "title": "Beam vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/beam-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-vast-ai.json", "title": "Beam vs Vast.ai", "url": "https://www.anchorterminal.com/compare/beam-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-verda.json", "title": "Beam vs Verda", "url": "https://www.anchorterminal.com/compare/beam-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.json", "title": "Cerebrium vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.json", "title": "CoreWeave vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.json", "title": "Hugging Face Inference Endpoints vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.json", "title": "Hyperbolic vs Koyeb", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-lambda.json", "title": "Hyperbolic vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-modal.json", "title": "Hyperbolic vs Modal", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.json", "title": "Hyperbolic vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-northflank.json", "title": "Hyperbolic vs Northflank", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy.json", "title": "Hyperbolic vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.json", "title": "Hyperbolic vs Runpod", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.json", "title": "Hyperbolic vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai.json", "title": "Hyperbolic vs Vast.ai", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-verda.json", "title": "Hyperbolic vs Verda", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-verda" } ], "scores": [ { "beam": 55, "by": 3, "edge": "beam", "hyperbolic": 52, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "beam": 58, "by": 19, "edge": "hyperbolic", "hyperbolic": 77, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "beam": 58, "by": 3, "edge": "beam", "hyperbolic": 55, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "beam": 50, "by": 3, "edge": "beam", "hyperbolic": 47, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "beam": 40, "by": 25, "edge": "beam", "hyperbolic": 15, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "beam": 85, "by": 43, "edge": "beam", "hyperbolic": 42, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "beam": 74, "by": 13, "edge": "beam", "hyperbolic": 61, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Beam scores 55.5 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation. Both do compute gpu.", "verdicts": { "beam": "Per-millisecond billing with cold starts and image pulls free, H100 PCIe at $3.50 and RTX 4090 at $0.69 an hour. No published request rate limits, 429 handling or SLA.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic", "json": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic.md", "slim": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic.min.md" }, "markdown": "Beam scores 55.5 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation. Both do compute gpu.\n\n- Beam: grade C, 55.5/100, rank #588 of 842. Markdown https://www.anchorterminal.com/tools/beam.md · JSON https://www.anchorterminal.com/api/v1/tools/beam.json\n- 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\n\n## Which one, for what\n\n### Beam (C)\n\nGood for: Cost-sensitive Python teams running bursty GPU functions on consumer or PCIe cards, and anyone who wants the option to self-host the same runtime.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 15\n- Maintenance \u0026 community, 85 against 42\n- Transparency \u0026 trust, 74 against 61\n\nAlso in its favour:\n- Open source\n\nWatch for: No published request rate limits, 429 handling or SLA\n\n### Hyperbolic (D)\n\nGood 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.\n\nAhead on:\n- Schema \u0026 documentation, 77 against 58\n\nWatch for: API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`\n\n\n## Score by category\n\n| Category | Weight | Beam | Hyperbolic | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 52 | Beam +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 58 | 77 | Hyperbolic +19 |\n| Agent ergonomics | 13% (16.2 this run) | 58 | 55 | Beam +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 47 | Beam +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 15 | Beam +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 42 | Beam +43 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 74 | 61 | Beam +13 |\n| Negative events | ≤15 | -2 | -3 | |\n| **Total** | | **55.5 · C** | **48 · D** | |\n\n## Facts side by side\n\n| Fact | Beam | Hyperbolic |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Beam | Hyperbolic Labs, Inc. |\n| Hosted endpoint | `https://app.beam.cloud/api/v1` | `https://api.hyperbolic.ai` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | AGPL-3.0 | Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-01 | 2026-10-05 |\n| Terms last updated | 2026-09-14 | 2025-03-24 |\n| Privacy policy last updated | 2026-09-14 | no date given |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 1.8k stars, 8.5k PyPI/wk | none |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Beam.** Per-millisecond billing with cold starts and image pulls free, H100 PCIe at $3.50 and RTX 4090 at $0.69 an hour. No published request rate limits, 429 handling or SLA.\n\n**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.\n\n## Before you call either\n\n### Beam\n\n1. Check the response body for `ok: false` on gateway calls; a failure can arrive as HTTP 200\n2. Don't pipe `beam deploy --format json` output into CI logs, since it contains the workspace token\n3. Route anything over 180 seconds to a task queue and poll the task instead of holding the endpoint request\n4. Set `keep_warm_seconds` deliberately; the 180-second endpoint default bills three minutes of GPU after every call\n5. Pass `gpu=[\"RTX4090\", \"A10G\"]` so a job still schedules when one type is out\n\n### Hyperbolic\n\n1. Read `GET /v2/on-demand/rental-options` first. It needs no key and lists what can be rented now, with `costPerHourCents` per GPU configuration.\n2. 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.\n3. List active rentals before retrying a failed create call. There is no idempotency key and every ready rental bills hourly.\n4. Save an SSH public key with `POST /v2/ssh-keys` before renting. Without `sshPublicKeyIds` the newest saved key is attached.\n5. Do not create reserved rentals unless asked. They are paid in full up front and cannot be terminated early.\n\n## Questions\n\n### Which is better for AI agents, Beam or Hyperbolic?\n\nBeam scores 55.5 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation.\n\n### Can an agent call Beam and Hyperbolic without installing anything?\n\nYes. Beam has a hosted endpoint at https://app.beam.cloud/api/v1 and Hyperbolic at https://api.hyperbolic.ai.\n\n### Are Beam and Hyperbolic open source?\n\nBeam is open source (AGPL-3.0). No open-source release is listed for Hyperbolic.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/beam-vs-hyperbolic.json, and with the fewest tokens: https://www.anchorterminal.com/compare/beam-vs-hyperbolic.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"beam\", \"b\": \"hyperbolic\"}`. From a terminal: `anchor compare beam hyperbolic`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/beam.json and https://www.anchorterminal.com/api/v1/tools/hyperbolic.json\n\n## Other comparisons with Beam or Hyperbolic\n\n- [Baseten vs Beam](https://www.anchorterminal.com/compare/baseten-vs-beam.md)\n- [Baseten vs Hyperbolic](https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.md)\n- [Beam vs Cerebrium](https://www.anchorterminal.com/compare/beam-vs-cerebrium.md)\n- [Beam vs CoreWeave](https://www.anchorterminal.com/compare/beam-vs-coreweave.md)\n- [Beam vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.md)\n- [Beam vs Koyeb](https://www.anchorterminal.com/compare/beam-vs-koyeb.md)\n- [Beam vs Lambda Cloud](https://www.anchorterminal.com/compare/beam-vs-lambda.md)\n- [Beam vs Modal](https://www.anchorterminal.com/compare/beam-vs-modal.md)\n- [Beam vs Nebius AI Cloud](https://www.anchorterminal.com/compare/beam-vs-nebius-ai-cloud.md)\n- [Beam vs Northflank](https://www.anchorterminal.com/compare/beam-vs-northflank.md)\n- [Beam vs Replicate Deployments](https://www.anchorterminal.com/compare/beam-vs-replicate-deploy.md)\n- [Beam vs Runpod](https://www.anchorterminal.com/compare/beam-vs-runpod.md)\n- [Beam vs Thunder Compute](https://www.anchorterminal.com/compare/beam-vs-thunder-compute.md)\n- [Beam vs Vast.ai](https://www.anchorterminal.com/compare/beam-vs-vast-ai.md)\n- [Beam vs Verda](https://www.anchorterminal.com/compare/beam-vs-verda.md)\n- [Cerebrium vs Hyperbolic](https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.md)\n- [CoreWeave vs Hyperbolic](https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.md)\n- [Hugging Face Inference Endpoints vs Hyperbolic](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.md)\n- [Hyperbolic vs Koyeb](https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.md)\n- [Hyperbolic vs Lambda Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-lambda.md)\n- [Hyperbolic vs Modal](https://www.anchorterminal.com/compare/hyperbolic-vs-modal.md)\n- [Hyperbolic vs Nebius AI Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.md)\n- [Hyperbolic vs Northflank](https://www.anchorterminal.com/compare/hyperbolic-vs-northflank.md)\n- [Hyperbolic vs Replicate Deployments](https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy.md)\n- [Hyperbolic vs Runpod](https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.md)\n- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Hyperbolic vs Vast.ai](https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai.md)\n- [Hyperbolic vs Verda](https://www.anchorterminal.com/compare/hyperbolic-vs-verda.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Beam vs Hyperbolic", "url": "" } ], "description": "Beam scores 55.5 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Beam C 55.5", "Hyperbolic D 48", "scores" ], "h1": "Beam vs Hyperbolic", "image": "https://www.anchorterminal.com/assets/og/compare-beam-vs-hyperbolic.png", "path": "/compare/beam-vs-hyperbolic", "published": "2026-10-01", "section": "tools", "title": "Beam vs Hyperbolic for AI agents, C 55.5 vs D 48 | Anchor Terminal", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic" }, "tokens": { "markdown": 2350, "slim": 630 }, "version": 1 }