{ "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", "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. The Starter plan closed to new sign-ups after the Mistral AI agreement. 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, 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": "2026-05-12", "graded": true, "anchor": { "graded": true, "score": 47, "grade": "D", "agentReady": false, "rank": 389, "ranked": true, "rankOf": 452, "categoryRank": 8, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 56, "maintenance": 23, "payments": 20, "reliability": 60, "schema": 41, "security": 50, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "H100 at $2.50 and H200 at $3.00 an hour, billed per second. Changelog silent since 27 February 2026 and no CLI release since 12 May 2026.", "strengths": [ "H100 at $2.50 and H200 at $3.00 an hour, billed per second", "Scale to zero after 5 idle minutes by default, configurable up to 12 hours on higher plans", "99.9 per cent uptime SLA published from the Pro plan", "List endpoints filter by name, type, status and region with `limit` and `offset`, and create and update take `dry_run`", "French company under French law with a published DPA" ], "weaknesses": [ "Changelog silent since 27 February 2026 and no CLI release since 12 May 2026", "No free compute tier; Starter closed after the Mistral AI agreement", "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", "Re-check the Mistral transition before building anything long-lived on it" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 47 } ], "editorialScores": { "ergonomics": 56, "maintenance": 23, "payments": 20, "reliability": 60, "schema": 41, "security": 50, "transparency": 50 }, "provenanceScore": 86 }, "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": "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": "2026-09-30", "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.", "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.", "Koyeb announced on 17 February 2026 that it is joining Mistral AI." ], "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/koyeb.json", "live": { "slug": "koyeb", "probe": { "target": "https://app.koyeb.com/v1", "method": "get", "lastAt": "2026-10-05T00:15:25.326007886Z", "lastOk": true, "lastStatus": 200, "lastMs": 60, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 66, "p95ms24h": 136, "samples24h": 272, "samples30d": 903, "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": 3, "ok": 3 } ] }, "vendorStatus": { "page": "https://status.koyeb.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:11.113089843Z" }, "versions": [ { "registry": "github", "name": "koyeb/koyeb-cli", "version": "v5.12.0", "released": "2026-09-16", "seenAt": "2026-10-04T16:30:59.654487485Z" } ], "githubStars": 75, "securityTxt": { "url": "https://koyeb.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:39.623181757Z" }, "domain": { "domain": "koyeb.com", "registered": "2019-03-11", "source": "https://rdap.verisign.com/com/v1/domain/koyeb.com", "checkedAt": "2026-10-04T13:09:21.713025238Z" }, "pages": [ { "url": "https://www.koyeb.com/changelog", "kind": "changelog", "status": 304, "checkedAt": "2026-10-04T15:50:56.745854439Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7e4e89b36b63" }, { "url": "https://www.koyeb.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:51:02.824779527Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9d7cf517fa78" }, { "url": "https://www.koyeb.com/docs/legal/data-processing-agreement", "kind": "privacy", "status": 304, "checkedAt": "2026-10-04T15:50:58.811207008Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6e08cc6e8919" }, { "url": "https://www.koyeb.com/docs/legal/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-04T15:51:00.911838778Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "089f524cdbd6" } ], "updatedAt": "2026-10-05T00:15:25.326007886Z" } }, "b": { "slug": "lambda", "name": "Lambda Cloud", "vendor": "Lambda", "vendorUrl": "https://lambda.ai", "kind": "http-api", "category": "gpu-compute", "summary": "On-demand GPU virtual machines and clusters, with an API for provisioning compute and persistent storage.", "url": "https://www.anchorterminal.com/tools/lambda", "markdownUrl": "https://www.anchorterminal.com/tools/lambda.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/lambda.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/lambda.json", "transports": [ "http" ], "remoteUrl": "https://cloud.lambda.ai/api/v1", "packages": [], "auth": "api-key", "authNotes": "API key created at cloud.lambda.ai/api-keys and sent as `Authorization: Bearer`. HTTP Basic with the key as the username (`curl -u 'KEY:'`) still works as a legacy option. SSH keys registered in the account are injected into launched instances.", "pricing": "usage", "pricingNotes": "On-demand, per GPU an hour, Tesla V100 16 GB $0.79, A100 40 GB $1.99, A100 80 GB $2.79, H100 SXM 80 GB $3.99, B200 180 GB $6.69. 1-Click Clusters of HGX B200 are quoted per GPU-hour at $9.86 for 16 GPUs, $9.36 for 64 and $8.87 for 256 or more on two-week to one-year commitments. Instances bill in one-minute increments from the moment they pass health checks until you terminate them, invoiced weekly. Filesystems bill per GB used a month in one-hour increments. No free tier (https://lambda.ai/pricing, https://docs.lambda.ai/public-cloud/billing/).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.lambda.ai/public-cloud/on-demand/", "openapi": "https://docs.lambda.ai/api/cloud/spec.json", "capabilities": [ "compute.gpu", "compute.containers" ], "tags": [ "hosted", "usage-priced", "openapi", "enterprise" ], "graded": true, "anchor": { "graded": true, "score": 50.1, "grade": "D", "agentReady": false, "rank": 363, "ranked": true, "rankOf": 452, "categoryRank": 7, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 5, "payments": 20, "reliability": 50, "schema": 69, "security": 60, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "H100 SXM at $3.99 and B200 at $6.69 an hour with per-minute billing. No scale to zero, autoscaling or endpoints; an idle VM bills until terminated.", "strengths": [ "H100 SXM at $3.99 and B200 at $6.69 an hour with per-minute billing", "OpenAPI 3.1 spec with documented error codes, a `suggestion` field and cursor pagination", "Audit events endpoint filterable by time and resource type", "Published rate limits, one request a second and one launch every 12 seconds", "Trust portal with SOC 2 Type 2 and four ISO certifications, and a named subprocessor list" ], "weaknesses": [ "No scale to zero, autoscaling or endpoints; an idle VM bills until terminated", "Ten status incidents in two months, including a two-day regional outage in August 2026", "No changelog, no llms.txt and no official SDK", "API keys have no scopes and launch has no idempotency key", "security.txt expired on 1 June 2026 and no free tier" ], "agentNotes": [ "Call `GET /instance-types` first and read `regions_with_capacity_available` before trying to launch", "Space launch calls 12 seconds apart; a sixth in a minute returns 429 with `global/rate-limited`", "Branch on the error `code`, not the `message` or `suggestion`, which Lambda says may change", "List instances before retrying a failed launch, since there's no idempotency key and a retry can start a second machine", "Terminate the instance in a `finally` block; billing runs by the minute until you do" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 50.1 } ], "editorialScores": { "ergonomics": 63, "maintenance": 5, "payments": 20, "reliability": 50, "schema": 69, "security": 60, "transparency": 48 }, "provenanceScore": 70 }, "connect": { "http": "curl \"https://cloud.lambda.ai/api/v1/instance-types\" -H \"Authorization: Bearer $LAMBDA_API_KEY\"" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/lambda" }, "area": "models", "unitPrices": [ { "item": "H100 SXM 80 GB", "unit": "gpu-hour", "usd": 3.99, "note": "Billed per minute" }, { "item": "B200 180 GB", "unit": "gpu-hour", "usd": 6.69 }, { "item": "A100 SXM 80 GB", "unit": "gpu-hour", "usd": 2.79 }, { "item": "A100 SXM 40 GB", "unit": "gpu-hour", "usd": 1.99 }, { "item": "Tesla V100 16 GB", "unit": "gpu-hour", "usd": 0.79 }, { "item": "HGX B200 1-Click Cluster, 16 GPUs", "unit": "gpu-hour", "usd": 9.86, "note": "Two-week to one-year commitment; $8.87 at 256 GPUs or more" } ], "provenance": { "legalEntity": "Lambda, Inc.", "domain": "lambda.ai", "domainRegistered": "", "domainNote": "Lambda moved from lambdalabs.com, registered 2008-05-29, to lambda.ai. The .ai registry's RDAP server rate-limited our lookup of the new domain.", "endpointOnVendorDomain": true, "terms": "https://lambda.ai/legal/terms-of-service", "privacy": "https://lambda.ai/legal/privacy-policy", "statusPage": "https://status.lambda.ai", "changelog": "", "securityTxt": "expired", "checked": "2026-09-30", "notes": [ "Terms dated August 2025 and the privacy policy of 1 January 2026 name Lambda, Inc., 2510 Zanker Road, San Jose, California.", "The API runs on cloud.lambda.ai, a subdomain of the vendor domain.", "security.txt expired 2026-06-01 and has no Policy field.", "No public changelog found for the cloud. The OpenAPI spec reports version 1.10.0." ], "score": 70 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/lambda.json", "live": { "slug": "lambda", "probe": { "target": "https://cloud.lambda.ai/api/v1", "method": "get", "lastAt": "2026-10-05T00:15:25.388712751Z", "lastOk": true, "lastStatus": 403, "lastMs": 557, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 560, "p95ms24h": 901, "samples24h": 272, "samples30d": 903, "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": 3, "ok": 3 } ] }, "vendorStatus": { "page": "https://status.lambda.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-05T00:11:24.394033674Z" }, "securityTxt": { "url": "https://lambda.ai/.well-known/security.txt", "state": "expired", "expires": "2026-06-01T16:00:00Z", "checkedAt": "2026-10-04T15:15:58.764976134Z" }, "domain": { "domain": "lambda.ai", "registered": "2017-12-16", "source": "https://rdap.identitydigital.services/rdap/domain/lambda.ai", "checkedAt": "2026-10-04T13:04:37.89683091Z" }, "pages": [ { "url": "https://lambda.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:45:18.84160567Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ad7e156559d1" }, { "url": "https://lambda.ai/legal/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:45:14.766678886Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "921eec75dd83" }, { "url": "https://lambda.ai/legal/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:45:16.817640272Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "40e40aee2e7c" } ], "updatedAt": "2026-10-05T00:15:25.388712751Z" } }, "summary": "Lambda Cloud has a score of 50.1 (D) against Koyeb's 47 (D). Both do compute gpu. The largest gap is schema \u0026 documentation, 28 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/koyeb-vs-lambda", "json": "https://www.anchorterminal.com/compare/koyeb-vs-lambda.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/koyeb-vs-lambda.md", "slim": "https://www.anchorterminal.com/compare/koyeb-vs-lambda.min.md" }, "markdown": "Lambda Cloud has a score of 50.1 (D) against Koyeb's 47 (D). Both do compute gpu. The largest gap is schema \u0026 documentation, 28 points.\n\n- Koyeb: grade D, 47/100, rank #389 of 452. Markdown https://www.anchorterminal.com/tools/koyeb.md · JSON https://www.anchorterminal.com/api/v1/tools/koyeb.json\n- Lambda Cloud: grade D, 50.1/100, rank #363 of 452. Markdown https://www.anchorterminal.com/tools/lambda.md · JSON https://www.anchorterminal.com/api/v1/tools/lambda.json\n\n## Which one, for what\n\nPick Koyeb for reliability (+10), maintenance \u0026 community (+18), transparency \u0026 trust (+9).\n\nPick Lambda Cloud for schema \u0026 documentation (+28), agent ergonomics (+7), security \u0026 auth (+10).\n\n## Score by category\n\n| Category | Weight | Koyeb | Lambda Cloud | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 50 | Koyeb +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 41 | 69 | Lambda Cloud +28 |\n| Agent ergonomics | 13% (16.2 this run) | 56 | 63 | Lambda Cloud +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 60 | Lambda Cloud +10 |\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) | 23 | 5 | Koyeb +18 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 68 | 59 | Koyeb +9 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **47 · D** | **50.1 · D** | |\n\n## Facts side by side\n\n| Fact | Koyeb | Lambda Cloud |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Koyeb | Lambda |\n| Hosted endpoint | `https://app.koyeb.com/v1` | `https://cloud.lambda.ai/api/v1` |\n| Transports | HTTP | HTTP |\n| Auth | Token | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 | none |\n| Tools exposed | none | none |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| MCP registry | not listed | not listed |\n| Last release | 2026-05-12 | none |\n| Popularity | 72 stars | none |\n| Agent reviews | 3.5/5 (2) | 3/5 (2) |\n\n## Verdicts\n\n**Koyeb.** H100 at $2.50 and H200 at $3.00 an hour, billed per second. Changelog silent since 27 February 2026 and no CLI release since 12 May 2026.\n\n**Lambda Cloud.** H100 SXM at $3.99 and B200 at $6.69 an hour with per-minute billing. No scale to zero, autoscaling or endpoints; an idle VM bills until terminated.\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. Re-check the Mistral transition before building anything long-lived on it\n\n### Lambda Cloud\n\n1. Call `GET /instance-types` first and read `regions_with_capacity_available` before trying to launch\n2. Space launch calls 12 seconds apart; a sixth in a minute returns 429 with `global/rate-limited`\n3. Branch on the error `code`, not the `message` or `suggestion`, which Lambda says may change\n4. List instances before retrying a failed launch, since there's no idempotency key and a retry can start a second machine\n5. Terminate the instance in a `finally` block; billing runs by the minute until you do\n\n## Other comparisons with Koyeb or Lambda Cloud\n\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- [Beam vs Koyeb](https://www.anchorterminal.com/compare/beam-vs-koyeb.md)\n- [Beam vs Lambda Cloud](https://www.anchorterminal.com/compare/beam-vs-lambda.md)\n- [Koyeb vs Modal](https://www.anchorterminal.com/compare/koyeb-vs-modal.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- [Lambda Cloud vs Modal](https://www.anchorterminal.com/compare/lambda-vs-modal.md)\n- [Lambda Cloud vs Northflank](https://www.anchorterminal.com/compare/lambda-vs-northflank.md)\n- [Lambda Cloud vs Replicate Deployments](https://www.anchorterminal.com/compare/lambda-vs-replicate-deploy.md)\n- [Lambda Cloud vs Runpod](https://www.anchorterminal.com/compare/lambda-vs-runpod.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-05", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "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": "Koyeb vs Lambda Cloud", "url": "" } ], "description": "Lambda Cloud has a score of 50.1 (D) against Koyeb's 47 (D). Both do compute gpu. The largest gap is schema \u0026 documentation, 28 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Koyeb D 47", "Lambda Cloud D 50.1", "scores" ], "h1": "Koyeb vs Lambda Cloud", "image": "https://www.anchorterminal.com/assets/og/compare-koyeb-vs-lambda.png", "path": "/compare/koyeb-vs-lambda", "published": "2026-10-01", "section": "tools", "title": "Koyeb vs Lambda Cloud for AI agents, D 47 vs D 50.1 | Anchor Terminal", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/koyeb-vs-lambda" }, "tokens": { "markdown": 1350, "slim": 330 }, "version": 1 }