{ "data": { "a": { "slug": "baseten", "name": "Baseten", "vendor": "Baseten", "vendorUrl": "https://www.baseten.co", "kind": "http-api", "category": "gpu-compute", "summary": "Dedicated model deployments packaged with the open-source Truss framework and served behind a per-model HTTPS endpoint, with autoscaling from zero replicas, async inference, a management API and per-minute GPU billing from T4 to B200.", "url": "https://www.anchorterminal.com/tools/baseten", "markdownUrl": "https://www.anchorterminal.com/tools/baseten.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/baseten.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/baseten.json", "repo": "https://github.com/basetenlabs/truss", "license": "MIT", "transports": [ "http" ], "remoteUrl": "https://api.baseten.co", "packages": [ { "registry": "pypi", "name": "truss" } ], "auth": "api-key", "authNotes": "API key from the workspace settings, sent as `Authorization: Bearer $BASETEN_API_KEY` (preferred) or the legacy `Authorization: Api-Key` scheme. Keys created from 1 October 2026 carry a `b10_` prefix. Inference goes to model-\u003cid\u003e.api.baseten.co and management calls to api.baseten.co.", "pricing": "usage", "pricingNotes": "Basic is $0 a month, pay as you go; Pro and Enterprise add volume discounts. Dedicated deployments bill per minute of replica time, including start-up and idle, and nothing at zero replicas. T4 16 GiB $0.01052 a minute (about $0.63 an hour), L4 24 GiB $0.01414 ($0.85), A10G 24 GiB $0.02012 ($1.21), H100 MIG 40 GiB $0.0625 ($3.75), A100 80 GiB $0.06667 ($4.00), H100 80 GiB $0.10833 ($6.50), B200 180 GiB $0.16633 ($9.98). New accounts get a small credit to try the UI. Model APIs bill per token instead (https://www.baseten.co/pricing/).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 1200, "npmWeekly": null, "pypiWeekly": 74496, "asOf": "2026-09-30" }, "docsUrl": "https://docs.baseten.co", "llmsTxt": "https://docs.baseten.co/llms.txt", "openapi": "https://api.baseten.co/v1/spec", "capabilities": [ "compute.gpu", "compute.endpoints", "compute.serverless", "compute.containers" ], "tags": [ "hosted", "usage-priced", "python", "llms-txt", "open-source", "async-jobs", "webhooks", "enterprise" ], "lastRelease": "2026-09-28", "graded": true, "anchor": { "graded": true, "score": 66.5, "grade": "B", "agentReady": false, "rank": 264, "ranked": true, "rankOf": 842, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 55, "maintenance": 90, "payments": 40, "reliability": 80, "schema": 84, "security": 82, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -5, "negativeNotes": [ "-5: a GitHub personal access token for `basetenbot`, exposed in a public Harbor image since March 2023, gave admin and push access to Baseten's main product repository, the GitOps repository that drives its clusters, its Homebrew tap and per-customer private repositories. Reported on 2026-07-13, revoked on 2026-07-14, no misuse found, published with Baseten's approval in September 2026. Deducted less because the fix was quick and documented (https://www.strix.ai/blog/baseten-harbor-github-pat-takeover)" ], "verdict": "Team API keys scoped to inference-only, metrics-only or a single environment or model, plus a Viewer role since 1 September 2026. H100 at $6.50 and A100 at $4.00 an hour, and start-up and idle replica time are billed.", "bestFor": "Teams that want one model behind a production endpoint with real autoscaling knobs, environments and scoped keys.", "strengths": [ "Team API keys scoped to inference-only, metrics-only or a single environment or model, plus a Viewer role since 1 September 2026", "Public OpenAPI spec for the management API at api.baseten.co/v1/spec, and llms.txt with Markdown twins", "Rate limits published per endpoint with a `retry_after` field on 429", "Free starting credits with no payment method needed until they run out", "Truss (MIT) keeps the model package portable, with three releases in September 2026" ], "weaknesses": [ "H100 at $6.50 and A100 at $4.00 an hour, and start-up and idle replica time are billed", "21 status-page incidents between 31 July and 29 September 2026, mostly single-cluster 5xx", "A bot token with admin access to the product and GitOps repositories sat exposed from March 2023 until July 2026", "No pagination on management list endpoints and no idempotency keys", "No SLA below Enterprise, no bug bounty and no security.txt" ], "agentNotes": [ "Create a team key with inference-only permission for calling models and keep full-access keys out of the agent", "Sleep for `retry_after` seconds on a 429 from api.baseten.co; the activate and deactivate endpoints allow 20 calls a minute", "Retry 429, 503 and 529 with backoff, but treat 500 as a bug in your model code", "Set `scale_down_delay` below the 900-second default or every burst bills 15 idle minutes", "Send payloads over 256 KiB to `/predict`, not `/async_predict`, unless support has raised the async limit" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 66.5 } ], "editorialScores": { "ergonomics": 55, "maintenance": 90, "payments": 40, "reliability": 80, "schema": 84, "security": 82, "transparency": 58 }, "provenanceScore": 71 }, "connect": { "install": "pip install truss", "http": "curl -X POST \"https://model-$BASETEN_MODEL_ID.api.baseten.co/environments/production/predict\" \\\n -H \"Authorization: Bearer $BASETEN_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"prompt\":\"Hello, world!\"}'" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/baseten" }, "area": "models", "unitPrices": [ { "item": "H100 80 GiB", "unit": "gpu-hour", "usd": 6.5, "note": "$0.10833 a minute" }, { "item": "B200 180 GiB", "unit": "gpu-hour", "usd": 9.98, "note": "$0.16633 a minute" }, { "item": "A100 80 GiB", "unit": "gpu-hour", "usd": 4, "note": "$0.06667 a minute" }, { "item": "H100 MIG 40 GiB", "unit": "gpu-hour", "usd": 3.75, "note": "$0.0625 a minute" }, { "item": "A10G 24 GiB", "unit": "gpu-hour", "usd": 1.21, "note": "$0.02012 a minute" }, { "item": "L4 24 GiB", "unit": "gpu-hour", "usd": 0.85, "note": "$0.01414 a minute" }, { "item": "T4 16 GiB", "unit": "gpu-hour", "usd": 0.63, "note": "$0.01052 a minute" } ], "provenance": { "legalEntity": "Baseten Labs, Inc.", "domain": "baseten.co", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://www.baseten.co/terms-and-conditions/", "privacy": "https://www.baseten.co/privacy-policy/", "statusPage": "https://status.baseten.co", "changelog": "https://www.baseten.co/changelog/", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Terms name Baseten Labs, Inc. under California law with venue in San Francisco. The privacy policy gives 560 Davis St., Suite 250, San Francisco.", "Inference runs on model-\u003cid\u003e.api.baseten.co, a subdomain of the vendor domain.", "www.baseten.co/.well-known/security.txt returns 404.", "The .co registry's RDAP server couldn't be reached, so the registration date is unrecorded." ], "score": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/baseten.json", "live": { "slug": "baseten", "probe": { "target": "https://api.baseten.co", "method": "get", "lastAt": "2026-10-09T09:26:44.325205358Z", "lastOk": true, "lastStatus": 202, "lastMs": 503, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 458, "p95ms24h": 489, "samples24h": 261, "samples30d": 2085, "days": [ { "date": "2026-10-01", "probes": 109, "ok": 109 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "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.baseten.co", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T09:24:53.975235356Z" }, "versions": [ { "registry": "github", "name": "basetenlabs/truss", "version": "v0.18.33", "released": "2026-10-06", "seenAt": "2026-10-08T16:02:10.626982738Z" }, { "registry": "pypi", "name": "truss", "version": "0.18.33", "released": "2026-10-06", "seenAt": "2026-10-08T16:02:06.626291704Z" } ], "githubStars": 1214, "pypiWeekly": 62737, "securityTxt": { "url": "https://baseten.co/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:37.892521999Z" }, "llmsTxt": { "url": "https://docs.baseten.co/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:06.558742297Z" }, "domain": { "domain": "baseten.co", "checkedAt": "2026-10-04T13:09:05.701625104Z" }, "pages": [ { "url": "https://www.baseten.co/changelog/", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:26:31.551352111Z", "changedAt": "2026-10-06T16:14:05.469135663Z", "fingerprint": "fcc7d4bab97d" }, { "url": "https://www.baseten.co/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:26:33.809519828Z", "changedAt": "2026-10-06T16:14:07.823033015Z", "fingerprint": "e41ad7119a6b" }, { "url": "https://www.baseten.co/privacy-policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:26:35.678713031Z", "changedAt": "2026-10-06T16:14:09.752979771Z", "fingerprint": "09df4e188f65" }, { "url": "https://www.baseten.co/terms-and-conditions/", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:26:38.014111749Z", "changedAt": "2026-10-06T16:14:11.853258349Z", "fingerprint": "a8b301619021" } ], "updatedAt": "2026-10-09T09:26:44.325205358Z" } }, "answer": "Baseten scores 66.5 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories.", "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": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Baseten", "b": "Hyperbolic Labs, Inc.", "name": "Vendor" }, { "a": "https://api.baseten.co", "b": "https://api.hyperbolic.ai", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "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": "2026-09-28", "b": "2026-10-05", "name": "Last release" }, { "a": "no date given", "b": "2025-03-24", "name": "Terms last updated" }, { "a": "no date given", "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": "yes", "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": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "1.2k stars, 74k PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Baseten scores 66.5 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Baseten or Hyperbolic?" }, { "answer": "Both need an API key.", "question": "Do Baseten and Hyperbolic need an API key?" }, { "answer": "Yes. Baseten has a hosted endpoint at https://api.baseten.co and Hyperbolic at https://api.hyperbolic.ai.", "question": "Can an agent call Baseten and Hyperbolic without installing anything?" }, { "answer": "Baseten is open source (MIT). No open-source release is listed for Hyperbolic.", "question": "Are Baseten and Hyperbolic open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 80 against 52", "Schema \u0026 documentation, 84 against 77", "Security \u0026 auth, 82 against 47", "Payments \u0026 pricing, 40 against 15", "Maintenance \u0026 community, 90 against 42" ], "also": [ "Open source" ], "goodFor": "Teams that want one model behind a production endpoint with real autoscaling knobs, environments and scoped keys.", "slug": "baseten", "watchFor": "H100 at $6.50 and A100 at $4.00 an hour, and start-up and idle replica time are billed" }, { "aheadOn": null, "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-cerebrium.json", "title": "Baseten vs Cerebrium", "url": "https://www.anchorterminal.com/compare/baseten-vs-cerebrium" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-coreweave.json", "title": "Baseten vs CoreWeave", "url": "https://www.anchorterminal.com/compare/baseten-vs-coreweave" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.json", "title": "Baseten vs Hugging Face Inference Endpoints", "url": "https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-koyeb.json", "title": "Baseten vs Koyeb", "url": "https://www.anchorterminal.com/compare/baseten-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-lambda.json", "title": "Baseten vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/baseten-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-modal.json", "title": "Baseten vs Modal", "url": "https://www.anchorterminal.com/compare/baseten-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-nebius-ai-cloud.json", "title": "Baseten vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/baseten-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-northflank.json", "title": "Baseten vs Northflank", "url": "https://www.anchorterminal.com/compare/baseten-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-replicate-deploy.json", "title": "Baseten vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/baseten-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-runpod.json", "title": "Baseten vs Runpod", "url": "https://www.anchorterminal.com/compare/baseten-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.json", "title": "Baseten vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/baseten-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-vast-ai.json", "title": "Baseten vs Vast.ai", "url": "https://www.anchorterminal.com/compare/baseten-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-verda.json", "title": "Baseten vs Verda", "url": "https://www.anchorterminal.com/compare/baseten-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic.json", "title": "Beam vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic" }, { "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": [ { "baseten": 80, "by": 28, "edge": "baseten", "hyperbolic": 52, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "baseten": 84, "by": 7, "edge": "baseten", "hyperbolic": 77, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "baseten": 55, "by": 0, "edge": "", "hyperbolic": 55, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "baseten": 82, "by": 35, "edge": "baseten", "hyperbolic": 47, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "baseten": 40, "by": 25, "edge": "baseten", "hyperbolic": 15, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "baseten": 90, "by": 48, "edge": "baseten", "hyperbolic": 42, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "baseten": 65, "by": 4, "edge": "baseten", "hyperbolic": 61, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Baseten scores 66.5 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Both do compute gpu.", "verdicts": { "baseten": "Team API keys scoped to inference-only, metrics-only or a single environment or model, plus a Viewer role since 1 September 2026. H100 at $6.50 and A100 at $4.00 an hour, and start-up and idle replica time are billed.", "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/baseten-vs-hyperbolic", "json": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.md", "slim": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.min.md" }, "markdown": "Baseten scores 66.5 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Both do compute gpu.\n\n- Baseten: grade B, 66.5/100, rank #264 of 842. Markdown https://www.anchorterminal.com/tools/baseten.md · JSON https://www.anchorterminal.com/api/v1/tools/baseten.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### Baseten (B)\n\nGood for: Teams that want one model behind a production endpoint with real autoscaling knobs, environments and scoped keys.\n\nAhead on:\n- Reliability, 80 against 52\n- Schema \u0026 documentation, 84 against 77\n- Security \u0026 auth, 82 against 47\n- Payments \u0026 pricing, 40 against 15\n- Maintenance \u0026 community, 90 against 42\n\nAlso in its favour:\n- Open source\n\nWatch for: H100 at $6.50 and A100 at $4.00 an hour, and start-up and idle replica time are billed\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\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 | Baseten | Hyperbolic | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 52 | Baseten +28 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 84 | 77 | Baseten +7 |\n| Agent ergonomics | 13% (16.2 this run) | 55 | 55 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 82 | 47 | Baseten +35 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 15 | Baseten +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 90 | 42 | Baseten +48 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 61 | Baseten +4 |\n| Negative events | ≤15 | -5 | -3 | |\n| **Total** | | **66.5 · B** | **48 · D** | |\n\n## Facts side by side\n\n| Fact | Baseten | Hyperbolic |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Baseten | Hyperbolic Labs, Inc. |\n| Hosted endpoint | `https://api.baseten.co` | `https://api.hyperbolic.ai` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | MIT | 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 | 2026-09-28 | 2026-10-05 |\n| Terms last updated | no date given | 2025-03-24 |\n| Privacy policy last updated | no date given | 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 | yes | 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 | not found in the text | yes |\n| Popularity | 1.2k stars, 74k PyPI/wk | none |\n| Agent reviews | 3.5/5 (2) | none |\n\n## Verdicts\n\n**Baseten.** Team API keys scoped to inference-only, metrics-only or a single environment or model, plus a Viewer role since 1 September 2026. H100 at $6.50 and A100 at $4.00 an hour, and start-up and idle replica time are billed.\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### Baseten\n\n1. Create a team key with inference-only permission for calling models and keep full-access keys out of the agent\n2. Sleep for `retry_after` seconds on a 429 from api.baseten.co; the activate and deactivate endpoints allow 20 calls a minute\n3. Retry 429, 503 and 529 with backoff, but treat 500 as a bug in your model code\n4. Set `scale_down_delay` below the 900-second default or every burst bills 15 idle minutes\n5. Send payloads over 256 KiB to `/predict`, not `/async_predict`, unless support has raised the async limit\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, Baseten or Hyperbolic?\n\nBaseten scores 66.5 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories.\n\n### Do Baseten and Hyperbolic need an API key?\n\nBoth need an API key.\n\n### Can an agent call Baseten and Hyperbolic without installing anything?\n\nYes. Baseten has a hosted endpoint at https://api.baseten.co and Hyperbolic at https://api.hyperbolic.ai.\n\n### Are Baseten and Hyperbolic open source?\n\nBaseten is open source (MIT). No open-source release is listed for Hyperbolic.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.json, and with the fewest tokens: https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"baseten\", \"b\": \"hyperbolic\"}`. From a terminal: `anchor compare baseten hyperbolic`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/baseten.json and https://www.anchorterminal.com/api/v1/tools/hyperbolic.json\n\n## Other comparisons with Baseten or Hyperbolic\n\n- [Baseten vs Beam](https://www.anchorterminal.com/compare/baseten-vs-beam.md)\n- [Baseten vs Cerebrium](https://www.anchorterminal.com/compare/baseten-vs-cerebrium.md)\n- [Baseten vs CoreWeave](https://www.anchorterminal.com/compare/baseten-vs-coreweave.md)\n- [Baseten vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.md)\n- [Baseten vs Koyeb](https://www.anchorterminal.com/compare/baseten-vs-koyeb.md)\n- [Baseten vs Lambda Cloud](https://www.anchorterminal.com/compare/baseten-vs-lambda.md)\n- [Baseten vs Modal](https://www.anchorterminal.com/compare/baseten-vs-modal.md)\n- [Baseten vs Nebius AI Cloud](https://www.anchorterminal.com/compare/baseten-vs-nebius-ai-cloud.md)\n- [Baseten vs Northflank](https://www.anchorterminal.com/compare/baseten-vs-northflank.md)\n- [Baseten vs Replicate Deployments](https://www.anchorterminal.com/compare/baseten-vs-replicate-deploy.md)\n- [Baseten vs Runpod](https://www.anchorterminal.com/compare/baseten-vs-runpod.md)\n- [Baseten vs Thunder Compute](https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.md)\n- [Baseten vs Vast.ai](https://www.anchorterminal.com/compare/baseten-vs-vast-ai.md)\n- [Baseten vs Verda](https://www.anchorterminal.com/compare/baseten-vs-verda.md)\n- [Beam vs Hyperbolic](https://www.anchorterminal.com/compare/beam-vs-hyperbolic.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": "Baseten vs Hyperbolic", "url": "" } ], "description": "Baseten scores 66.5 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Baseten B 66.5", "Hyperbolic D 48", "scores" ], "h1": "Baseten vs Hyperbolic", "image": "https://www.anchorterminal.com/assets/og/compare-baseten-vs-hyperbolic.png", "path": "/compare/baseten-vs-hyperbolic", "published": "2026-10-01", "section": "tools", "title": "Baseten vs Hyperbolic for AI agents, B 66.5 vs D 48 | Anchor Terminal", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic" }, "tokens": { "markdown": 2400, "slim": 630 }, "version": 1 }