{ "data": { "a": { "slug": "koyeb", "name": "Koyeb", "vendor": "Koyeb", "vendorUrl": "https://www.koyeb.com", "kind": "platform", "category": "gpu-compute", "summary": "Serverless platform for deploying applications and containers on CPU or GPU instances, with autoscaling and an API.", "url": "https://www.anchorterminal.com/tools/koyeb", "markdownUrl": "https://www.anchorterminal.com/tools/koyeb.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/koyeb.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/koyeb.json", "dns": "koyeb.grade.anchorterminal.com", "repo": "https://github.com/koyeb/koyeb-cli", "license": "Apache-2.0", "transports": [ "http" ], "remoteUrl": "https://app.koyeb.com/v1", "packages": [], "auth": "pat", "authNotes": "Personal access token created in the control panel (app.koyeb.com/user/settings/api) and sent as `Authorization: Bearer` to app.koyeb.com/v1. The CLI stores it from `koyeb login` and hides it in debug output. Organisation-scoped tokens can be created for teams.", "pricing": "freemium", "pricingNotes": "Pro is $29 a month with $10 of usage included, Scale $299 with $100, Enterprise custom from $1,000 a month. The Starter plan closed to new sign-ups after the Mistral AI agreement and no longer appears on the pricing page. Everything bills per second. GPUs an hour are RTX 4000 SFF Ada $0.50, L4 $0.70, RTX A6000 $0.75, L40S $1.20, A100 $1.60, A100 SXM $2.15, RTX PRO 6000 $2.20, H100 $2.50, H200 $3.00, 2x A100 $3.20, 2x H100 $5.00, B200 $5.50, 4x A100 $6.40, 8x H100 $20.00, 8x H200 $24.00. CPU services start at $0.000006 a second (https://www.koyeb.com/pricing, https://www.koyeb.com/blog/koyeb-is-joining-mistral-ai-to-build-the-future-of-ai-infrastructure).", "priceSummary": "$29 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 72, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://www.koyeb.com/docs", "capabilities": [ "compute.gpu", "compute.serverless", "compute.endpoints", "compute.containers" ], "tags": [ "hosted", "freemium", "eu", "enterprise" ], "lastRelease": "2026-10-20", "graded": true, "anchor": { "graded": true, "score": 46.6, "grade": "D", "agentReady": false, "rank": 1170, "ranked": true, "rankOf": 1510, "categoryRank": 19, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 51, "maintenance": 73, "payments": 20, "reliability": 50, "schema": 31, "security": 50, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-05" }, "negative": 0, "verdict": "Koyeb publishes per-second GPU prices without a login, from $0.50 an hour for an RTX 4000 SFF Ada to $2.50 for an H100, with an SLA document from the Scale plan. It has no downloadable OpenAPI file, documented rate limits or error codes, and no free compute plan, and its public changelog has been silent since 27 February 2026.", "bestFor": "Teams that want low-cost H100, H200 or B200 containers with scale to zero and an SLA, deployed from Git or an image.", "strengths": [ "H100 at $2.50, H200 at $3.00 and B200 at $5.50 an hour, billed per second", "Scale to zero after 5 idle minutes by default, configurable up to 12 hours on higher plans", "SLA document with service credits; Scale lists 99.9 per cent uptime and Enterprise 99.99", "Five tagged CLI and Python SDK releases between 27 August and 20 October 2026", "List endpoints filter by name, type, status and region with `limit` and `offset`, and create and update take `dry_run`" ], "weaknesses": [ "Public changelog silent since 27 February 2026, so API changes surface only through CLI and SDK releases", "No free compute plan; Pro at $29 a month is the entry point", "No llms.txt, no downloadable OpenAPI file, no documented rate limits or error codes", "Audit logs and RBAC only on Enterprise, and tokens have no scopes", "Platform due to fold into Mistral Compute with no dated migration plan" ], "agentNotes": [ "Pass `dry_run` on service create or update to validate the definition before anything deploys", "Page service lists with `limit` and `offset` and filter by `statuses` instead of fetching everything", "Expect the first request after deep sleep to take 1 to 5 seconds and retry once with a timeout", "Set `--min-scale 0` on GPU services so idle instances stop billing", "Read the CLI's CHANGES.md and the Python SDK tags for API changes, since the web changelog stopped in February 2026" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 46.6 } ], "editorialScores": { "ergonomics": 51, "maintenance": 73, "payments": 20, "reliability": 50, "schema": 31, "security": 50, "transparency": 50 }, "provenanceScore": 78, "checked": { "categories": { "ergonomics": "2026-11-05", "maintenance": "2026-11-05", "payments": "2026-11-05", "reliability": "2026-11-05", "schema": "2026-11-05", "security": "2026-11-05", "transparency": "2026-11-05" }, "last": "2026-11-05", "lastMoved": "2026-11-05", "oldest": "2026-11-05", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "brew install koyeb/tap/koyeb \u0026\u0026 koyeb login # or go install github.com/koyeb/koyeb-cli/cmd/koyeb", "http": "curl \"https://app.koyeb.com/v1/services\" -H \"Authorization: Bearer $KOYEB_TOKEN\"" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/koyeb" }, "area": "models", "unitPrices": [ { "item": "H100 80 GB", "unit": "gpu-hour", "usd": 2.5 }, { "item": "H200 141 GB", "unit": "gpu-hour", "usd": 3 }, { "item": "B200", "unit": "gpu-hour", "usd": 5.5 }, { "item": "A100 80 GB", "unit": "gpu-hour", "usd": 1.6 }, { "item": "RTX PRO 6000", "unit": "gpu-hour", "usd": 2.2 }, { "item": "L40S 48 GB", "unit": "gpu-hour", "usd": 1.2 }, { "item": "L4 24 GB", "unit": "gpu-hour", "usd": 0.7 }, { "item": "Pro plan", "unit": "month", "usd": 29, "note": "$10 of usage included" }, { "item": "Scale plan", "unit": "month", "usd": 299, "note": "$100 of usage included" } ], "provenance": { "legalEntity": "Koyeb SAS", "domain": "koyeb.com", "domainRegistered": "2019-03-11", "endpointOnVendorDomain": true, "terms": "https://www.koyeb.com/docs/legal/terms", "privacy": "https://www.koyeb.com/docs/legal/data-processing-agreement", "statusPage": "https://status.koyeb.com", "changelog": "https://www.koyeb.com/changelog", "securityTxt": "none", "checked": "2026-11-05", "notes": [ "The Master Services Agreement of 28 June 2024 names Koyeb, a simplified joint-stock company registered in Nanterre under 850 183 948, at 9 rue des Longs Prés, Boulogne-Billancourt, under French law. Its Bots clause covers workloads run on the platform, not reading the website.", "The site footer's privacy link points at the data processing agreement rather than a separate privacy policy.", "www.koyeb.com/.well-known/security.txt returns 404 and there's no llms.txt at www.koyeb.com or under /docs (5 November 2026).", "Koyeb announced on 17 February 2026 that it is joining Mistral AI." ], "score": 78 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/koyeb.json", "live": { "slug": "koyeb", "probe": { "target": "https://app.koyeb.com/v1", "method": "get", "lastAt": "2026-11-07T19:22:15.405861687Z", "lastOk": true, "lastStatus": 200, "lastMs": 86, "authRequired": false, "uptime24h": 100, "uptime30d": 99.99, "p50ms24h": 65, "p95ms24h": 145, "samples24h": 238, "samples30d": 7920, "days": [ { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 251 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 248, "ok": 248 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 197, "ok": 197 } ] }, "vendorStatus": { "page": "https://status.koyeb.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-07T04:47:58.832052518Z" }, "versions": [ { "registry": "github", "name": "koyeb/koyeb-cli", "version": "v5.12.0", "released": "2026-09-16", "seenAt": "2026-11-06T23:37:43.85754248Z" } ], "githubStars": 77, "securityTxt": { "url": "https://koyeb.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:16.209310212Z" }, "domain": { "domain": "koyeb.com", "registered": "2019-03-11", "source": "https://rdap.verisign.com/com/v1/domain/koyeb.com", "checkedAt": "2026-11-01T14:17:08.497490753Z" }, "pages": [ { "url": "https://www.koyeb.com/changelog", "kind": "changelog", "status": 304, "checkedAt": "2026-11-07T14:30:36.311116627Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7e4e89b36b63" }, { "url": "https://www.koyeb.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-11-07T14:30:42.420198952Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9d7cf517fa78" }, { "url": "https://www.koyeb.com/docs/legal/data-processing-agreement", "kind": "privacy", "status": 304, "checkedAt": "2026-11-07T14:30:38.426689944Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6e08cc6e8919" }, { "url": "https://www.koyeb.com/docs/legal/terms", "kind": "terms", "status": 304, "checkedAt": "2026-11-07T14:30:40.460441331Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "089f524cdbd6" } ], "github": { "repo": "koyeb/koyeb-cli", "checkedAt": "2026-11-02T08:59:14.60153217Z", "stars": 75, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-29T16:05:59Z", "openIssues": 23, "openPRs": 9, "issuesOpened90d": 0, "issuesClosed90d": 0, "prsMerged90d": 26, "ci": { "branch": "master", "runs": 45, "success": 44, "failure": 1, "other": 0, "latest": "success", "latestAt": "2026-10-14T07:00:43Z" }, "replies": { "sampled": 25, "unanswered": 9, "medianDays": 0.2 } }, "updatedAt": "2026-11-07T19:22:15.405861687Z" } }, "answer": "Together GPU Clusters scores 58.1 (C) on agent readiness against Koyeb's 46.6 (D), and leads in 5 of 7 scored categories. Koyeb leads on reliability.", "b": { "slug": "together-gpu-clusters", "name": "Together GPU Clusters", "vendor": "Together AI", "vendorUrl": "https://www.together.ai", "kind": "http-api", "category": "gpu-compute", "summary": "Together GPU Clusters rents multi-node NVIDIA H100, H200, B200 and B300 clusters with InfiniBand and shared storage, run as Kubernetes or Slurm, by the GPU-hour. Clusters are created and scaled from the console, the tg CLI, SDKs or REST API.", "url": "https://www.anchorterminal.com/tools/together-gpu-clusters", "markdownUrl": "https://www.anchorterminal.com/tools/together-gpu-clusters.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/together-gpu-clusters.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/together-gpu-clusters.json", "dns": "together-gpu-clusters.grade.anchorterminal.com", "repo": "https://github.com/togethercomputer/together-py", "license": "Proprietary service under Together's terms of service. The Python SDK and CLI are Apache-2.0 and the OpenAPI document is MIT", "transports": [], "remoteUrl": "https://api.together.ai/v1/compute/clusters", "packages": [ { "registry": "pypi", "name": "together" }, { "registry": "npm", "name": "together-ai" } ], "auth": "api-key", "authNotes": "Bearer `TOGETHER_API_KEY`, scoped to a project, revocable and optionally expiring, the same keys as Together's other APIs. Only a project admin's key returns the cluster's admin kubeconfig. Team members can reach the Kubernetes API through OIDC with their own identity provider, and SSH uses OIDC or uploaded keys.", "pricing": "usage", "pricingNotes": "On-demand from $3.99 per GPU-hour (H100) to $9.99 (B300); reserved 3 to 180 days from $3.19 to $7.99; preemptible (preview) from $1.99. Storage per GiB-month. No ingress or egress fees. Reservations are prepaid and non-refundable, and creation needs enough credit to cover them.", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the GPU clusters docs, billing pages or OpenAPI document (checked 2026-11-06). An exhausted balance returns 402 to scale requests with no payment requirements.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://docs.together.ai/docs/gpu-clusters-overview", "llmsTxt": "https://docs.together.ai/llms.txt", "openapi": "https://github.com/togethercomputer/openapi", "capabilities": [ "compute.gpu", "compute.containers", "compute.batch" ], "tags": [ "hosted", "official", "usage", "prepaid", "openapi", "llms-txt", "kubernetes", "slurm", "python", "typescript", "cli", "h100", "b200" ], "lastRelease": "2026-10-22", "graded": true, "anchor": { "graded": true, "score": 58.1, "grade": "C", "agentReady": false, "rank": 768, "ranked": true, "rankOf": 1510, "categoryRank": 10, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 55, "maintenance": 75, "payments": 20, "reliability": 38, "schema": 92, "security": 68, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "Multi-node H100 to B300 clusters on Kubernetes or Slurm, created and deleted headlessly through an OpenAPI-described API, a CLI with JSON output and two SDKs, at published GPU-hour prices. Clusters take 10 minutes to an hour to provision, can't be paused, and have no status component, SLA or idempotent create.", "bestFor": "Training, fine-tuning and batch jobs that need several 8-GPU nodes with InfiniBand, run by a pipeline that creates and deletes clusters.", "strengths": [ "Public OpenAPI 3.1, llms.txt and Markdown docs, with an automation guide for CI pipelines", "Published per GPU-hour prices for on-demand, reserved and preemptible capacity, with no egress fees", "Kubernetes or Slurm on the same hardware, with InfiniBand and a persistent shared volume", "Automatic health checks and node repair, approved by hand or run automatically", "Project-scoped keys, admin-only kubeconfig and OIDC access for team members" ], "weaknesses": [ "Provisioning takes 10 minutes to an hour, and a cluster can't be paused or scaled to zero", "No status page component, SLA or published rate limits for GPU clusters", "No idempotency key on creation, so a retried create can bill a second cluster", "No free trial; reservations are prepaid and non-refundable", "Volumes bill until deleted and outlive the clusters they were attached to" ], "agentNotes": [ "Use `tg clusters`, not `tg beta clusters`, which stopped working with CLI 3.0 on 22 October 2026", "Pass `--json` and `--non-interactive`, poll `tg clusters retrieve` until status is Ready, and delete the cluster in a cleanup step", "Check for an existing cluster by name before retrying a create, since creation has no idempotency key", "Read live availability from the regions API and prices from the pricing page; the regions response has no prices", "Use a project admin's key when the task needs the kubeconfig, since other roles get none" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 58.1 } ], "editorialScores": { "ergonomics": 55, "maintenance": 75, "payments": 20, "reliability": 38, "schema": 92, "security": 68, "transparency": 46 }, "provenanceScore": 83, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "uv tool install \"together[cli]\"", "http": "curl -H \"Authorization: Bearer $TOGETHER_API_KEY\" https://api.together.ai/v1/compute/clusters" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/together-gpu-clusters" }, "sameCompany": [ "together-inference", "together-fine-tuning", "together-code-sandbox" ], "area": "models", "unitPrices": [ { "item": "H100 on-demand", "unit": "gpu-hour", "usd": 3.99, "note": "reserved $3.69 to $3.19, preemptible $1.99" }, { "item": "H200 on-demand", "unit": "gpu-hour", "usd": 5.99, "note": "reserved $4.99 to $3.99, preemptible $2.99" }, { "item": "B200 on-demand", "unit": "gpu-hour", "usd": 8.19, "note": "reserved $7.99 to $6.79, preemptible $4.09" }, { "item": "B300 on-demand", "unit": "gpu-hour", "usd": 9.99, "note": "preemptible $4.99, reserved by sales" } ], "provenance": { "legalEntity": "Together Computer, Inc.", "domain": "together.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://www.together.ai/terms-of-service", "privacy": "https://www.together.ai/privacy", "statusPage": "https://status.together.ai", "changelog": "https://docs.together.ai/docs/changelog", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "Legal entity, terms, privacy and security.txt as on the Together AI Inference listing, checked 1 November 2026, and not re-read for this listing.", "docs.together.ai/robots.txt disallows only /cdn-cgi/ and /_next/, with Content-Signal ai-train=yes, search=yes, ai-input=yes. www.together.ai/robots.txt allows all.", "status.together.ai has no component for GPU clusters on 6 November 2026." ], "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/together-gpu-clusters.json", "live": { "slug": "together-gpu-clusters", "probe": { "target": "https://api.together.ai/v1/compute/clusters", "method": "get", "lastAt": "2026-11-07T19:22:40.660879578Z", "lastOk": true, "lastStatus": 401, "lastMs": 263, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 493, "p95ms24h": 857, "samples24h": 210, "samples30d": 210, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 13 }, { "date": "2026-11-07", "probes": 197, "ok": 197 } ] }, "versions": [ { "registry": "github", "name": "togethercomputer/together-py", "version": "v3.1.1", "released": "2026-11-04", "seenAt": "2026-11-07T00:12:15.100983119Z" }, { "registry": "npm", "name": "together-ai", "version": "1.0.0", "seenAt": "2026-11-07T00:12:15.067840103Z" }, { "registry": "pypi", "name": "together", "version": "3.1.1", "released": "2026-11-04", "seenAt": "2026-11-07T00:12:14.921893617Z" } ], "githubStars": 12, "npmWeekly": 99619, "pypiWeekly": 424792, "securityTxt": { "url": "https://together.ai/.well-known/security.txt", "state": "valid", "expires": "2028-09-30T00:00:00.000Z", "checkedAt": "2026-11-07T16:00:47.073630606Z" }, "llmsTxt": { "url": "https://docs.together.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:34:12.138384896Z" }, "updatedAt": "2026-11-07T19:22:40.660879578Z" } }, "edges": [ { "by": 61, "category": "schema", "leads": "together-gpu-clusters", "name": "Schema \u0026 documentation", "reasons": { "a": "No downloadable OpenAPI file. The API reference at koyeb.com/docs/reference/api renders only by script, and the generated docs in the Go and Python client repositories aren't a published contract (0, was 10). No llms.txt (www.koyeb.com/llms.txt and /docs/llms.txt both 404) and no Markdown twins (0). Guides on scale to zero and autoscaling say when to use each setting (10, held). Typed parameters with required bodies in the Go client's docs, but service types and statuses are free strings with no listed values (8, held). CLI examples throughout; no documented error responses found (5, held). /v1 paths, but the public changelog stopped on 27 February 2026 (8, held). 0 + 0 + 10 + 8 + 5 + 8 = 31.", "b": "Public OpenAPI 3.1 for /v1/compute/clusters and shared volumes, MIT, embedded in every reference page (25). llms.txt and a Markdown twin of every page (10). The docs say when to choose Kubernetes or Slurm and each capacity type, and the management page carries instructions for agents on reporting live availability and prices (18). Enums for cluster type, billing type, GPU type and status, required fields marked (13). CLI, Python, TypeScript and console steps on each task, with 402 and 403 cases documented, though no error catalogue for the clusters API (11). Versioned SDKs and a dated changelog with cluster entries (15). 25+10+18+13+11+15 = 92." }, "scores": { "a": 31, "b": 92 } }, { "by": 18, "category": "security", "leads": "together-gpu-clusters", "name": "Security \u0026 auth", "reasons": { "a": "Personal access tokens and organisation tokens sent as Bearer; no scopes found (20). RBAC only on Enterprise; no read-only token (5). Runs your own containers and returns their output (10). Audit logs only on Enterprise (10). ISO 27001 and SOC 2 listed on the pricing page for Enterprise; www.koyeb.com/.well-known/security.txt is 404 and no disclosure policy, SECURITY.md or bug bounty found, so a bare certification claim (5). 20 + 5 + 10 + 10 + 5 = 50.", "b": "Project-scoped API keys, revocable with optional expiry, read as Together's other listings read the same key model (30). Admin and editor roles with no read-only role. Only admins get the admin kubeconfig, which has cluster-admin rights, and OIDC lets editors use kubectl under RBAC. Deletes run without confirmation when `--non-interactive` is passed (8). The API returns cluster state, not third-party content (10). Invoices itemise reserved, on-demand and storage charges, and no audit log for cluster operations was found (5). security.txt with a HackerOne route, per the 1 November check of the inference listing (15). 30+8+10+5+15 = 68." }, "scores": { "a": 50, "b": 68 } }, { "by": 12, "category": "reliability", "leads": "koyeb", "name": "Reliability", "reasons": { "a": "Graded on the hosted lines for its platform API. Instatus page at status.koyeb.com with components (API, Control Panel, Build / Provisioning and one per region) and history back to 2022 in its feed (20). Since 7 August the feed holds nine incidents and one maintenance. The eight in September each name one region, one GPU type or some customers, or ran 6 to 52 minutes (8, 11, 15, 21, 22 and 23 September and two on 29 September). On 16 October Koyeb posted a separate incident, \"The ongoing maintenance is causing API to fail with 500\", on the API, Control Panel and Build components for 24 minutes, inside a maintenance window announced the day before for 07:00 to 08:00 UTC with \"max 10m unavailability\". The status page labels it an incident and the outage ran past the unavailability announced, so it counts as an incident, and the API failing with 500 is errors across the board, one major outage (10). No API rate limits found in the docs we could read (0). No 429 or backoff guidance found (0). The Scale plan lists a 99.9 per cent uptime SLA and Enterprise 99.99, with an SLA document at /docs/legal/sla setting service credits (10). Services and GPUs are generally available; light sleep is a preview (10). 20 + 10 + 0 + 0 + 10 + 10 = 50.", "b": "Read with the hosted lines. status.together.ai lists the website, the playground and serverless models with no component for GPU clusters, and a vendor page with no component for the product takes 15 in this run, as for Together's Code Sandbox and fine-tuning listings (15). No incident history for clusters can be read (5). No rate limits for the clusters API found (0). Together's docs give 429 and 503 backoff guidance for its APIs, per the inference listing's 1 November check, and the CLI has `--non-interactive` and `--json` for scripted retries, but creation has no idempotency key (8). No SLA for clusters found; the published 99% commitment covers provisioned inference throughput only (0). Generally available since 9 September 2025 and out of the CLI's beta paths since 22 October 2026, with preemptible nodes in preview (10). 15+5+0+8+0+10 = 38." }, "scores": { "a": 50, "b": 38 } } ], "facts": [ { "a": "Platform", "b": "HTTP API", "name": "Kind" }, { "a": "Koyeb", "b": "Together AI", "name": "Vendor" }, { "a": "https://app.koyeb.com/v1", "b": "https://api.together.ai/v1/compute/clusters", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "", "name": "Transports" }, { "a": "Token", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Proprietary service under Together's terms of service. The Python SDK and CLI are Apache-2.0 and the OpenAPI document is MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-20", "b": "2026-10-22", "name": "Last release" }, { "a": "no date given", "b": "no date given", "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": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "72 stars", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Together GPU Clusters scores 58.1 (C) on agent readiness against Koyeb's 46.6 (D), and leads in 5 of 7 scored categories. Koyeb leads on reliability.", "question": "Which is better for AI agents, Koyeb or Together GPU Clusters?" }, { "answer": "Yes. Koyeb has a hosted endpoint at https://app.koyeb.com/v1 and Together GPU Clusters at https://api.together.ai/v1/compute/clusters.", "question": "Can an agent call Koyeb and Together GPU Clusters without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 50 against 38" ], "also": null, "goodFor": "Teams that want low-cost H100, H200 or B200 containers with scale to zero and an SLA, deployed from Git or an image.", "slug": "koyeb", "watchFor": "Public changelog silent since 27 February 2026, so API changes surface only through CLI and SDK releases" }, { "aheadOn": [ "Schema \u0026 documentation, 92 against 31", "Security \u0026 auth, 68 against 50" ], "also": null, "goodFor": "Training, fine-tuning and batch jobs that need several 8-GPU nodes with InfiniBand, run by a pipeline that creates and deletes clusters.", "slug": "together-gpu-clusters", "watchFor": "Provisioning takes 10 minutes to an hour, and a cluster can't be paused or scaled to zero" } ], "history": { "koyeb": [ { "causes": [ "reliability", "correction" ], "date": "2026-11-05", "delta": 0, "from": 46.6, "fromGrade": "D", "to": 46.6, "toGrade": "D" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 46.5, "fromGrade": "D", "to": 46.6, "toGrade": "D" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.5, "from": 47, "fromGrade": "D", "to": 46.5, "toGrade": "D" } ], "together-gpu-clusters": null }, "job": { "capability": "compute.gpu", "name": "GPU compute" }, "others": [ { "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-together-gpu-clusters.json", "title": "Baseten vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/baseten-vs-together-gpu-clusters" }, { "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-together-gpu-clusters.json", "title": "Beam vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/beam-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-koyeb.json", "title": "Cerebrium vs Koyeb", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-together-gpu-clusters.json", "title": "Cerebrium vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-together-gpu-clusters.json", "title": "Cloud Run GPUs vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-koyeb.json", "title": "CoreWeave vs Koyeb", "url": "https://www.anchorterminal.com/compare/coreweave-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-together-gpu-clusters.json", "title": "CoreWeave vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/coreweave-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-koyeb.json", "title": "Crusoe Cloud vs Koyeb", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-together-gpu-clusters.json", "title": "Crusoe Cloud vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-koyeb.json", "title": "GPUsMarket vs Koyeb", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-together-gpu-clusters.json", "title": "GPUsMarket vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-koyeb.json", "title": "Hugging Face Inference Endpoints vs Koyeb", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-together-gpu-clusters.json", "title": "Hugging Face Inference Endpoints vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-together-gpu-clusters" }, { "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-together-gpu-clusters.json", "title": "Hyperbolic vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-lambda.json", "title": "Koyeb vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/koyeb-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-massed-compute.json", "title": "Koyeb vs Massed Compute", "url": "https://www.anchorterminal.com/compare/koyeb-vs-massed-compute" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-modal.json", "title": "Koyeb vs Modal", "url": "https://www.anchorterminal.com/compare/koyeb-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-nebius-ai-cloud.json", "title": "Koyeb vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/koyeb-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-northflank.json", "title": "Koyeb vs Northflank", "url": "https://www.anchorterminal.com/compare/koyeb-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-replicate-deploy.json", "title": "Koyeb vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/koyeb-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-runpod.json", "title": "Koyeb vs Runpod", "url": "https://www.anchorterminal.com/compare/koyeb-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.json", "title": "Koyeb vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-vast-ai.json", "title": "Koyeb vs Vast.ai", "url": "https://www.anchorterminal.com/compare/koyeb-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-verda.json", "title": "Koyeb vs Verda", "url": "https://www.anchorterminal.com/compare/koyeb-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/lambda-vs-together-gpu-clusters.json", "title": "Lambda Cloud vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/lambda-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/massed-compute-vs-together-gpu-clusters.json", "title": "Massed Compute vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/massed-compute-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/modal-vs-together-gpu-clusters.json", "title": "Modal vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/modal-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-together-gpu-clusters.json", "title": "Nebius AI Cloud vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/northflank-vs-together-gpu-clusters.json", "title": "Northflank vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/northflank-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-together-gpu-clusters.json", "title": "Replicate Deployments vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/runpod-vs-together-gpu-clusters.json", "title": "Runpod vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/runpod-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-together-gpu-clusters.json", "title": "Thunder Compute vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/together-gpu-clusters-vs-vast-ai.json", "title": "Together GPU Clusters vs Vast.ai", "url": "https://www.anchorterminal.com/compare/together-gpu-clusters-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/together-gpu-clusters-vs-verda.json", "title": "Together GPU Clusters vs Verda", "url": "https://www.anchorterminal.com/compare/together-gpu-clusters-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-koyeb.json", "title": "Cloud Run GPUs vs Koyeb", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-koyeb" } ], "panel": null, "scores": [ { "by": 12, "edge": "koyeb", "key": "reliability", "koyeb": 50, "name": "Reliability", "together-gpu-clusters": 38, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 61, "edge": "together-gpu-clusters", "key": "schema", "koyeb": 31, "name": "Schema \u0026 documentation", "together-gpu-clusters": 92, "weight": 13 }, { "by": 4, "edge": "together-gpu-clusters", "key": "ergonomics", "koyeb": 51, "name": "Agent ergonomics", "together-gpu-clusters": 55, "weight": 13 }, { "by": 18, "edge": "together-gpu-clusters", "key": "security", "koyeb": 50, "name": "Security \u0026 auth", "together-gpu-clusters": 68, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "koyeb": 20, "name": "Payments \u0026 pricing", "together-gpu-clusters": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "together-gpu-clusters", "key": "maintenance", "koyeb": 73, "name": "Maintenance \u0026 community", "together-gpu-clusters": 75, "weight": 7 }, { "by": 1, "edge": "together-gpu-clusters", "key": "transparency", "koyeb": 64, "name": "Transparency \u0026 trust", "together-gpu-clusters": 65, "weight": 7 } ], "summary": "Together GPU Clusters scores 58.1 (C) on agent readiness against Koyeb's 46.6 (D), and leads in 5 of 7 scored categories. Koyeb leads on reliability. Both do gpu compute.", "tasks": null, "tutorials": [], "verdicts": { "koyeb": "Koyeb publishes per-second GPU prices without a login, from $0.50 an hour for an RTX 4000 SFF Ada to $2.50 for an H100, with an SLA document from the Scale plan. It has no downloadable OpenAPI file, documented rate limits or error codes, and no free compute plan, and its public changelog has been silent since 27 February 2026.", "together-gpu-clusters": "Multi-node H100 to B300 clusters on Kubernetes or Slurm, created and deleted headlessly through an OpenAPI-described API, a CLI with JSON output and two SDKs, at published GPU-hour prices. Clusters take 10 minutes to an hour to provision, can't be paused, and have no status component, SLA or idempotent create." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/koyeb-vs-together-gpu-clusters", "json": "https://www.anchorterminal.com/compare/koyeb-vs-together-gpu-clusters.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/koyeb-vs-together-gpu-clusters.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/koyeb-vs-together-gpu-clusters.min.md" }, "markdown": "Together GPU Clusters scores 58.1 (C) on agent readiness against Koyeb's 46.6 (D), and leads in 5 of 7 scored categories. Koyeb leads on reliability. Both do gpu compute.\n\n- Koyeb: grade D, 46.6/100, rank #1170 of 1510. Markdown https://www.anchorterminal.com/tools/koyeb.md · JSON https://www.anchorterminal.com/api/v1/tools/koyeb.json\n- Together GPU Clusters: grade C, 58.1/100, rank #768 of 1510. Markdown https://www.anchorterminal.com/tools/together-gpu-clusters.md · JSON https://www.anchorterminal.com/api/v1/tools/together-gpu-clusters.json\n- Best GPU and serverless compute for AI workloads: https://www.anchorterminal.com/best/gpu-compute/index.md\n- All 231 gpu compute comparisons: https://www.anchorterminal.com/compare/gpu-compute/index.md\n\n## Which one, for what\n\n### Koyeb (D)\n\nGood for: Teams that want low-cost H100, H200 or B200 containers with scale to zero and an SLA, deployed from Git or an image.\n\nAhead on:\n- Reliability, 50 against 38\n\nWatch for: Public changelog silent since 27 February 2026, so API changes surface only through CLI and SDK releases\n\n### Together GPU Clusters (C)\n\nGood for: Training, fine-tuning and batch jobs that need several 8-GPU nodes with InfiniBand, run by a pipeline that creates and deletes clusters.\n\nAhead on:\n- Schema \u0026 documentation, 92 against 31\n- Security \u0026 auth, 68 against 50\n\nWatch for: Provisioning takes 10 minutes to an hour, and a cluster can't be paused or scaled to zero\n\n\n## Why the edge\n\n### Schema \u0026 documentation: Together GPU Clusters +61\n\n- Koyeb (31): No downloadable OpenAPI file. The API reference at koyeb.com/docs/reference/api renders only by script, and the generated docs in the Go and Python client repositories aren't a published contract (0, was 10). No llms.txt (www.koyeb.com/llms.txt and /docs/llms.txt both 404) and no Markdown twins (0). Guides on scale to zero and autoscaling say when to use each setting (10, held). Typed parameters with required bodies in the Go client's docs, but service types and statuses are free strings with no listed values (8, held). CLI examples throughout; no documented error responses found (5, held). /v1 paths, but the public changelog stopped on 27 February 2026 (8, held). 0 + 0 + 10 + 8 + 5 + 8 = 31.\n- Together GPU Clusters (92): Public OpenAPI 3.1 for /v1/compute/clusters and shared volumes, MIT, embedded in every reference page (25). llms.txt and a Markdown twin of every page (10). The docs say when to choose Kubernetes or Slurm and each capacity type, and the management page carries instructions for agents on reporting live availability and prices (18). Enums for cluster type, billing type, GPU type and status, required fields marked (13). CLI, Python, TypeScript and console steps on each task, with 402 and 403 cases documented, though no error catalogue for the clusters API (11). Versioned SDKs and a dated changelog with cluster entries (15). 25+10+18+13+11+15 = 92.\n\n### Security \u0026 auth: Together GPU Clusters +18\n\n- Koyeb (50): Personal access tokens and organisation tokens sent as Bearer; no scopes found (20). RBAC only on Enterprise; no read-only token (5). Runs your own containers and returns their output (10). Audit logs only on Enterprise (10). ISO 27001 and SOC 2 listed on the pricing page for Enterprise; www.koyeb.com/.well-known/security.txt is 404 and no disclosure policy, SECURITY.md or bug bounty found, so a bare certification claim (5). 20 + 5 + 10 + 10 + 5 = 50.\n- Together GPU Clusters (68): Project-scoped API keys, revocable with optional expiry, read as Together's other listings read the same key model (30). Admin and editor roles with no read-only role. Only admins get the admin kubeconfig, which has cluster-admin rights, and OIDC lets editors use kubectl under RBAC. Deletes run without confirmation when `--non-interactive` is passed (8). The API returns cluster state, not third-party content (10). Invoices itemise reserved, on-demand and storage charges, and no audit log for cluster operations was found (5). security.txt with a HackerOne route, per the 1 November check of the inference listing (15). 30+8+10+5+15 = 68.\n\n### Reliability: Koyeb +12\n\n- Koyeb (50): Graded on the hosted lines for its platform API. Instatus page at status.koyeb.com with components (API, Control Panel, Build / Provisioning and one per region) and history back to 2022 in its feed (20). Since 7 August the feed holds nine incidents and one maintenance. The eight in September each name one region, one GPU type or some customers, or ran 6 to 52 minutes (8, 11, 15, 21, 22 and 23 September and two on 29 September). On 16 October Koyeb posted a separate incident, \"The ongoing maintenance is causing API to fail with 500\", on the API, Control Panel and Build components for 24 minutes, inside a maintenance window announced the day before for 07:00 to 08:00 UTC with \"max 10m unavailability\". The status page labels it an incident and the outage ran past the unavailability announced, so it counts as an incident, and the API failing with 500 is errors across the board, one major outage (10). No API rate limits found in the docs we could read (0). No 429 or backoff guidance found (0). The Scale plan lists a 99.9 per cent uptime SLA and Enterprise 99.99, with an SLA document at /docs/legal/sla setting service credits (10). Services and GPUs are generally available; light sleep is a preview (10). 20 + 10 + 0 + 0 + 10 + 10 = 50.\n- Together GPU Clusters (38): Read with the hosted lines. status.together.ai lists the website, the playground and serverless models with no component for GPU clusters, and a vendor page with no component for the product takes 15 in this run, as for Together's Code Sandbox and fine-tuning listings (15). No incident history for clusters can be read (5). No rate limits for the clusters API found (0). Together's docs give 429 and 503 backoff guidance for its APIs, per the inference listing's 1 November check, and the CLI has `--non-interactive` and `--json` for scripted retries, but creation has no idempotency key (8). No SLA for clusters found; the published 99% commitment covers provisioned inference throughput only (0). Generally available since 9 September 2025 and out of the CLI's beta paths since 22 October 2026, with preemptible nodes in preview (10). 15+5+0+8+0+10 = 38.\n\n## Score by category\n\n| Category | Weight | Koyeb | Together GPU Clusters | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 38 | Koyeb +12 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 31 | 92 | Together GPU Clusters +61 |\n| Agent ergonomics | 13% (16.2 this run) | 51 | 55 | Together GPU Clusters +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 68 | Together GPU Clusters +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 73 | 75 | Together GPU Clusters +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 65 | Together GPU Clusters +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **46.6 · D** | **58.1 · C** | |\n\n## Facts side by side\n\n| Fact | Koyeb | Together GPU Clusters |\n| --- | --- | --- |\n| Kind | Platform | HTTP API |\n| Vendor | Koyeb | Together AI |\n| Hosted endpoint | `https://app.koyeb.com/v1` | `https://api.together.ai/v1/compute/clusters` |\n| Transports | HTTP | |\n| Auth | Token | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 | Proprietary service under Together's terms of service. The Python SDK and CLI are Apache-2.0 and the OpenAPI document is MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-20 | 2026-10-22 |\n| Terms last updated | no date given | no date given |\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 | yes | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 72 stars | none |\n| Agent reviews | 3.5/5 (2) | none |\n\n## How the scores have moved\n\n### Koyeb\n\n- no change on 5 November 2026: reliability, correction\n- +0.1 on 27 October 2026: checklist\n- -0.5 on 8 October 2026: checklist\n\n### Together GPU Clusters\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Koyeb.** Koyeb publishes per-second GPU prices without a login, from $0.50 an hour for an RTX 4000 SFF Ada to $2.50 for an H100, with an SLA document from the Scale plan. It has no downloadable OpenAPI file, documented rate limits or error codes, and no free compute plan, and its public changelog has been silent since 27 February 2026.\n\n**Together GPU Clusters.** Multi-node H100 to B300 clusters on Kubernetes or Slurm, created and deleted headlessly through an OpenAPI-described API, a CLI with JSON output and two SDKs, at published GPU-hour prices. Clusters take 10 minutes to an hour to provision, can't be paused, and have no status component, SLA or idempotent create.\n\n## Before you call either\n\n### Koyeb\n\n1. Pass `dry_run` on service create or update to validate the definition before anything deploys\n2. Page service lists with `limit` and `offset` and filter by `statuses` instead of fetching everything\n3. Expect the first request after deep sleep to take 1 to 5 seconds and retry once with a timeout\n4. Set `--min-scale 0` on GPU services so idle instances stop billing\n5. Read the CLI's CHANGES.md and the Python SDK tags for API changes, since the web changelog stopped in February 2026\n\n### Together GPU Clusters\n\n1. Use `tg clusters`, not `tg beta clusters`, which stopped working with CLI 3.0 on 22 October 2026\n2. Pass `--json` and `--non-interactive`, poll `tg clusters retrieve` until status is Ready, and delete the cluster in a cleanup step\n3. Check for an existing cluster by name before retrying a create, since creation has no idempotency key\n4. Read live availability from the regions API and prices from the pricing page; the regions response has no prices\n5. Use a project admin's key when the task needs the kubeconfig, since other roles get none\n\n## Questions\n\n### Which is better for AI agents, Koyeb or Together GPU Clusters?\n\nTogether GPU Clusters scores 58.1 (C) on agent readiness against Koyeb's 46.6 (D), and leads in 5 of 7 scored categories. Koyeb leads on reliability.\n\n### Can an agent call Koyeb and Together GPU Clusters without installing anything?\n\nYes. Koyeb has a hosted endpoint at https://app.koyeb.com/v1 and Together GPU Clusters at https://api.together.ai/v1/compute/clusters.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/koyeb-vs-together-gpu-clusters.json, and with the fewest tokens: https://www.anchorterminal.com/compare/koyeb-vs-together-gpu-clusters.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"koyeb\", \"b\": \"together-gpu-clusters\"}`. From a terminal: `anchor compare koyeb together-gpu-clusters`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/koyeb.json and https://www.anchorterminal.com/api/v1/tools/together-gpu-clusters.json\n\n## Other comparisons with Koyeb or Together GPU Clusters\n\n- [Baseten vs Koyeb](https://www.anchorterminal.com/compare/baseten-vs-koyeb.md)\n- [Baseten vs Together GPU Clusters](https://www.anchorterminal.com/compare/baseten-vs-together-gpu-clusters.md)\n- [Beam vs Koyeb](https://www.anchorterminal.com/compare/beam-vs-koyeb.md)\n- [Beam vs Together GPU Clusters](https://www.anchorterminal.com/compare/beam-vs-together-gpu-clusters.md)\n- [Cerebrium vs Koyeb](https://www.anchorterminal.com/compare/cerebrium-vs-koyeb.md)\n- [Cerebrium vs Together GPU Clusters](https://www.anchorterminal.com/compare/cerebrium-vs-together-gpu-clusters.md)\n- [Cloud Run GPUs vs Together GPU Clusters](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-together-gpu-clusters.md)\n- [CoreWeave vs Koyeb](https://www.anchorterminal.com/compare/coreweave-vs-koyeb.md)\n- [CoreWeave vs Together GPU Clusters](https://www.anchorterminal.com/compare/coreweave-vs-together-gpu-clusters.md)\n- [Crusoe Cloud vs Koyeb](https://www.anchorterminal.com/compare/crusoe-cloud-vs-koyeb.md)\n- [Crusoe Cloud vs Together GPU Clusters](https://www.anchorterminal.com/compare/crusoe-cloud-vs-together-gpu-clusters.md)\n- [GPUsMarket vs Koyeb](https://www.anchorterminal.com/compare/gpusmarket-vs-koyeb.md)\n- [GPUsMarket vs Together GPU Clusters](https://www.anchorterminal.com/compare/gpusmarket-vs-together-gpu-clusters.md)\n- [Hugging Face Inference Endpoints vs Koyeb](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-koyeb.md)\n- [Hugging Face Inference Endpoints vs Together GPU Clusters](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-together-gpu-clusters.md)\n- [Hyperbolic vs Koyeb](https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.md)\n- [Hyperbolic vs Together GPU Clusters](https://www.anchorterminal.com/compare/hyperbolic-vs-together-gpu-clusters.md)\n- [Koyeb vs Lambda Cloud](https://www.anchorterminal.com/compare/koyeb-vs-lambda.md)\n- [Koyeb vs Massed Compute](https://www.anchorterminal.com/compare/koyeb-vs-massed-compute.md)\n- [Koyeb vs Modal](https://www.anchorterminal.com/compare/koyeb-vs-modal.md)\n- [Koyeb vs Nebius AI Cloud](https://www.anchorterminal.com/compare/koyeb-vs-nebius-ai-cloud.md)\n- [Koyeb vs Northflank](https://www.anchorterminal.com/compare/koyeb-vs-northflank.md)\n- [Koyeb vs Replicate Deployments](https://www.anchorterminal.com/compare/koyeb-vs-replicate-deploy.md)\n- [Koyeb vs Runpod](https://www.anchorterminal.com/compare/koyeb-vs-runpod.md)\n- [Koyeb vs Thunder Compute](https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.md)\n- [Koyeb vs Vast.ai](https://www.anchorterminal.com/compare/koyeb-vs-vast-ai.md)\n- [Koyeb vs Verda](https://www.anchorterminal.com/compare/koyeb-vs-verda.md)\n- [Lambda Cloud vs Together GPU Clusters](https://www.anchorterminal.com/compare/lambda-vs-together-gpu-clusters.md)\n- [Massed Compute vs Together GPU Clusters](https://www.anchorterminal.com/compare/massed-compute-vs-together-gpu-clusters.md)\n- [Modal vs Together GPU Clusters](https://www.anchorterminal.com/compare/modal-vs-together-gpu-clusters.md)\n- [Nebius AI Cloud vs Together GPU Clusters](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-together-gpu-clusters.md)\n- [Northflank vs Together GPU Clusters](https://www.anchorterminal.com/compare/northflank-vs-together-gpu-clusters.md)\n- [Replicate Deployments vs Together GPU Clusters](https://www.anchorterminal.com/compare/replicate-deploy-vs-together-gpu-clusters.md)\n- [Runpod vs Together GPU Clusters](https://www.anchorterminal.com/compare/runpod-vs-together-gpu-clusters.md)\n- [Thunder Compute vs Together GPU Clusters](https://www.anchorterminal.com/compare/thunder-compute-vs-together-gpu-clusters.md)\n- [Together GPU Clusters vs Vast.ai](https://www.anchorterminal.com/compare/together-gpu-clusters-vs-vast-ai.md)\n- [Together GPU Clusters vs Verda](https://www.anchorterminal.com/compare/together-gpu-clusters-vs-verda.md)\n- [Cloud Run GPUs vs Koyeb](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-koyeb.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Koyeb vs Together GPU Clusters", "url": "" } ], "description": "Together GPU Clusters scores 58.1 (C) to Koyeb's 46.6 (D) for gpu compute. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Koyeb D 46.6", "Together GPU Clusters C 58.1", "scores" ], "h1": "Koyeb vs Together GPU Clusters", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/koyeb-vs-together-gpu-clusters", "published": "2026-10-01", "section": "tools", "title": "Koyeb vs Together GPU Clusters for AI agents (2026) | Anchor Terminal", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/koyeb-vs-together-gpu-clusters" }, "tokens": { "markdown": 4050, "slim": 1830 }, "version": 1 }