{ "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": 46.5, "grade": "D", "agentReady": false, "rank": 755, "ranked": true, "rankOf": 842, "categoryRank": 16, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 56, "maintenance": 23, "payments": 20, "reliability": 60, "schema": 41, "security": 50, "transparency": 63 }, "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.", "bestFor": "Teams that want cheap H100 or H200 containers with scale to zero and an SLA, deployed from Git or an image without a vendor SDK.", "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": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 46.5 } ], "editorialScores": { "ergonomics": 56, "maintenance": 23, "payments": 20, "reliability": 60, "schema": 41, "security": 50, "transparency": 50 }, "provenanceScore": 75 }, "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": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/koyeb.json", "live": { "slug": "koyeb", "probe": { "target": "https://app.koyeb.com/v1", "method": "get", "lastAt": "2026-10-09T10:42:46.700822838Z", "lastOk": true, "lastStatus": 200, "lastMs": 75, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 68, "p95ms24h": 118, "samples24h": 260, "samples30d": 2098, "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": 114, "ok": 114 } ] }, "vendorStatus": { "page": "https://status.koyeb.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:06.915098843Z" }, "versions": [ { "registry": "github", "name": "koyeb/koyeb-cli", "version": "v5.12.0", "released": "2026-09-16", "seenAt": "2026-10-08T16:18:01.679616884Z" } ], "githubStars": 75, "securityTxt": { "url": "https://koyeb.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:33.165001961Z" }, "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": "2026-10-08T18:28:38.583332732Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7e4e89b36b63" }, { "url": "https://www.koyeb.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-08T18:28:44.671933232Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9d7cf517fa78" }, { "url": "https://www.koyeb.com/docs/legal/data-processing-agreement", "kind": "privacy", "status": 304, "checkedAt": "2026-10-08T18:28:40.700270182Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6e08cc6e8919" }, { "url": "https://www.koyeb.com/docs/legal/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-08T18:28:42.728518755Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "089f524cdbd6" } ], "updatedAt": "2026-10-09T10:42:46.700822838Z" } }, "answer": "Thunder Compute scores 56.1 (C) on agent readiness against Koyeb's 46.5 (D), and leads in 5 of 7 scored categories. Koyeb leads on agent ergonomics.", "b": { "slug": "thunder-compute", "name": "Thunder Compute", "vendor": "Thunder Compute", "vendorUrl": "https://www.thundercompute.com", "kind": "http-api", "category": "gpu-compute", "summary": "Thunder Compute is a US GPU cloud renting RTX A6000, L40, A100 and H100 instances by the minute and GPU sandboxes by the second. Agents use its REST API, a hosted MCP server with OAuth, or the `tnr` CLI.", "url": "https://www.anchorterminal.com/tools/thunder-compute", "markdownUrl": "https://www.anchorterminal.com/tools/thunder-compute.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/thunder-compute.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/thunder-compute.json", "repo": "https://github.com/Thunder-Compute/thunder-cli", "license": "Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.thundercompute.com:8443/v1", "packages": [ { "registry": "go", "name": "github.com/Thunder-Compute/thunder-cli" }, { "registry": "pypi", "name": "thunder-sandbox" } ], "auth": "mixed", "authNotes": "Self-serve. The hosted MCP server uses OAuth 2.0 with discovery. The first connection opens a browser to sign in and approve, tokens refresh, and the scopes are `instances:read`, `instances:write`, `snapshots:read`, `snapshots:write`, `sandboxes:read`, `sandboxes:write`, `billing:read` and `org:read`. The REST API takes a named API token as a Bearer header. Tokens are created and revoked one at a time in the console, or with the MCP `create_token` tool, and no token scopes were found. The CLI and the sandbox SDK read `TNR_API_TOKEN` for headless use. Price, specification, availability and template endpoints need no token.", "pricing": "usage", "pricingNotes": "No general free tier. Instances are billed by the minute while they run, paid by saved card or preloaded credit that is non-refundable. Per GPU an hour on 9 October 2026, RTX A6000 is $0.35, L40 $0.79, A100 80 GB $1.09 and H100 $3.20. Sandboxes are billed by the second and need access enabled by the vendor. Students with a US university email get $20 of credit for A6000 and L40 GPUs. Reserved capacity is by quote (https://www.thundercompute.com/pricing).", "priceSummary": "$0.04 / vCPU-hr", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs corpus, the OpenAPI document or the pricing page (checked 2026-10-09).", "endpoints": [] }, "toolCount": 28, "popularity": { "githubStars": 34, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://www.thundercompute.com/docs", "llmsTxt": "https://www.thundercompute.com/docs/llms.txt", "openapi": "https://api.thundercompute.com:8443/openapi.json", "registryName": "io.github.Thunder-Compute/thunder-compute", "capabilities": [ "compute.gpu", "compute.containers" ], "tags": [ "hosted", "usage-priced", "openapi", "llms-txt", "mcp", "cli", "oauth", "api-key", "python", "go", "status-page", "card-required", "closed-source" ], "lastRelease": "2026-09-16", "graded": true, "anchor": { "graded": true, "score": 56.1, "grade": "C", "agentReady": false, "rank": 576, "ranked": true, "rankOf": 842, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 48, "maintenance": 79, "payments": 20, "reliability": 65, "schema": 70, "security": 51, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted.", "bestFor": "Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.", "strengths": [ "Hosted MCP server at `https://www.thundercompute.com/mcp` with OAuth and ten scopes that separate read from write for instances, snapshots and sandboxes", "Public OpenAPI 3.1 document with 41 operations, plus `llms.txt`, `llms-full.txt` and a Markdown copy of every docs page", "`GET /v2/pricing`, `GET /v2/specs` and `GET /v2/status` return prices, configurations and live availability without a token", "Section 28 of the terms, dated 28 September 2026, permits access by AI agents, scripts and SDKs through the account holder's own credentials", "The status page lists no incidents for July to October 2026 on its Website, API and Instances components" ], "weaknesses": [ "No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability", "`POST /instances/create` has no idempotency key, so a retried launch can start a second billed instance", "Instances cannot be stopped. Pausing means taking a snapshot, deleting the instance and restoring later", "No general free tier. The $20 credit is limited to students with a US university email", "No security.txt or disclosure policy was found, and the SOC 2 Type II claim in `llms.txt` has no report or trust page linked", "The sub-processor list, last updated 27 August 2025, names Firebase for sign-in while the MCP docs name Stytch" ], "agentNotes": [ "Call `GET /v2/status` or the `get_availability` tool before creating an instance. Availability can change before launch, and creation fails when a type is sold out.", "List instances before retrying a failed create, because the call has no idempotency key.", "Pass `public_key` on create. If omitted, the response carries a generated private key that is returned once.", "To pause work, create a snapshot, delete the instance and later create a new instance from the snapshot. Snapshot storage keeps billing until deleted.", "For headless use set `TNR_API_TOKEN` to a token from the console. The MCP server needs a browser sign-in on first connection." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.1 } ], "editorialScores": { "ergonomics": 48, "maintenance": 79, "payments": 20, "reliability": 65, "schema": 70, "security": 51, "transparency": 51 }, "provenanceScore": 77 }, "connect": { "install": "curl -fsSL https://raw.githubusercontent.com/Thunder-Compute/thunder-cli/main/scripts/install.sh | bash", "http": "curl https://api.thundercompute.com:8443/v2/pricing", "claudeCode": "claude mcp add --transport http thunder-compute https://www.thundercompute.com/mcp", "config": { "mcpServers": { "thunder-compute": { "url": "https://www.thundercompute.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/thunder-compute" }, "area": "models", "unitPrices": [ { "item": "RTX A6000 48 GB instance", "unit": "gpu-hour", "usd": 0.35, "note": "Billed per minute. One GPU per instance" }, { "item": "L40 48 GB instance", "unit": "gpu-hour", "usd": 0.79, "note": "Billed per minute" }, { "item": "A100 80 GB instance", "unit": "gpu-hour", "usd": 1.09, "note": "Billed per minute. 4 and 8 GPU shapes cost $1.49 a GPU per the price endpoint" }, { "item": "H100 80 GB instance", "unit": "gpu-hour", "usd": 3.2, "note": "Billed per minute" }, { "item": "H100 80 GB sandbox", "unit": "gpu-hour", "usd": 2.95, "note": "Billed per second, plus vCPU and memory. Access on request" }, { "item": "A100 80 GB sandbox", "unit": "gpu-hour", "usd": 1.95, "note": "Billed per second, plus vCPU and memory. Access on request" }, { "item": "Extra instance vCPU", "unit": "vcpu-hour", "usd": 0.04, "note": "Above the vCPUs included with each GPU" }, { "item": "Sandbox vCPU", "unit": "vcpu-hour", "usd": 0.051, "note": "Memory is $0.016 per GiB an hour" }, { "item": "Instance disk above 100 GB per GPU", "unit": "gb-month", "usd": 0.219, "note": "Billed only while the instance runs" }, { "item": "Snapshot storage", "unit": "gb-month", "usd": 0.05, "note": "Kept until deleted" } ], "provenance": { "legalEntity": "Thunder GPU, Inc.", "domain": "thundercompute.com", "domainRegistered": "2024-02-29", "endpointOnVendorDomain": true, "terms": "https://www.thundercompute.com/terms-and-conditions", "privacy": "https://www.thundercompute.com/privacy-policy", "statusPage": "https://status.thundercompute.com", "changelog": "https://github.com/Thunder-Compute/thunder-cli/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "The Terms and Conditions, last updated 28 September 2026, name Thunder GPU, Inc., doing business as Thunder Compute, a Delaware company, and apply Delaware law. They cover the site and the services, with sections on automated access, usage billing and instance data deletion.", "The privacy policy, last updated 28 September 2026, covers the website and the GPU platform, including access by AI agents.", "The API answers at api.thundercompute.com on port 8443, and the MCP server at www.thundercompute.com/mcp, both on the vendor domain.", "/.well-known/security.txt answers 404.", "RDAP for thundercompute.com gives a registration date of 2024-02-29.", "The changelog linked is the CLI's. No API changelog was found.", "A Data Processing Addendum is published in the docs and a sub-processor list on the site, last updated 27 August 2025." ], "score": 77 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/thunder-compute.json", "live": { "slug": "thunder-compute", "probe": { "target": "https://api.thundercompute.com:8443/v1", "method": "get", "lastAt": "2026-10-09T10:42:58.723724397Z", "lastOk": true, "lastStatus": 404, "lastMs": 258, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 618, "p95ms24h": 745, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.thundercompute.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:42:06.359810687Z" }, "updatedAt": "2026-10-09T10:42:58.723724397Z" } }, "facts": [ { "a": "Model platform", "b": "HTTP API", "name": "Kind" }, { "a": "Koyeb", "b": "Thunder Compute", "name": "Vendor" }, { "a": "https://app.koyeb.com/v1", "b": "https://api.thundercompute.com:8443/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "Token", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "not published", "b": "$0.219 per GB per month", "name": "Price for compute gpu" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT", "name": "Licence" }, { "a": "none", "b": "28", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.Thunder-Compute/thunder-compute", "name": "MCP registry" }, { "a": "2026-05-12", "b": "2026-09-16", "name": "Last release" }, { "a": "no date given", "b": "2026-09-28", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-09-28", "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": "yes", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "72 stars", "b": "34 stars", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Thunder Compute scores 56.1 (C) on agent readiness against Koyeb's 46.5 (D), and leads in 5 of 7 scored categories. Koyeb leads on agent ergonomics.", "question": "Which is better for AI agents, Koyeb or Thunder Compute?" }, { "answer": "Yes. Koyeb has a hosted endpoint at https://app.koyeb.com/v1 and Thunder Compute at https://api.thundercompute.com:8443/v1.", "question": "Can an agent call Koyeb and Thunder Compute without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Agent ergonomics, 56 against 48" ], "also": null, "goodFor": "Teams that want cheap H100 or H200 containers with scale to zero and an SLA, deployed from Git or an image without a vendor SDK.", "slug": "koyeb", "watchFor": "Changelog silent since 27 February 2026 and no CLI release since 12 May 2026" }, { "aheadOn": [ "Reliability, 65 against 60", "Schema \u0026 documentation, 70 against 41", "Maintenance \u0026 community, 79 against 23" ], "also": null, "goodFor": "Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.", "slug": "thunder-compute", "watchFor": "No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability" } ], "job": { "capability": "compute.gpu", "name": "Compute gpu" }, "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-thunder-compute.json", "title": "Baseten vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/baseten-vs-thunder-compute" }, { "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-thunder-compute.json", "title": "Beam vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/beam-vs-thunder-compute" }, { "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-thunder-compute.json", "title": "Cerebrium vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute" }, { "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-thunder-compute.json", "title": "CoreWeave vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute" }, { "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-thunder-compute.json", "title": "Hugging Face Inference Endpoints vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute" }, { "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-thunder-compute.json", "title": "Hyperbolic vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute" }, { "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-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-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-thunder-compute.json", "title": "Lambda Cloud vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/lambda-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/modal-vs-thunder-compute.json", "title": "Modal vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/modal-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.json", "title": "Nebius AI Cloud vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.json", "title": "Northflank vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/northflank-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.json", "title": "Replicate Deployments vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.json", "title": "Runpod vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai.json", "title": "Thunder Compute vs Vast.ai", "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda.json", "title": "Thunder Compute vs Verda", "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda" } ], "scores": [ { "by": 5, "edge": "thunder-compute", "key": "reliability", "koyeb": 60, "name": "Reliability", "thunder-compute": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 29, "edge": "thunder-compute", "key": "schema", "koyeb": 41, "name": "Schema \u0026 documentation", "thunder-compute": 70, "weight": 13 }, { "by": 8, "edge": "koyeb", "key": "ergonomics", "koyeb": 56, "name": "Agent ergonomics", "thunder-compute": 48, "weight": 13 }, { "by": 1, "edge": "thunder-compute", "key": "security", "koyeb": 50, "name": "Security \u0026 auth", "thunder-compute": 51, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "koyeb": 20, "name": "Payments \u0026 pricing", "thunder-compute": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 56, "edge": "thunder-compute", "key": "maintenance", "koyeb": 23, "name": "Maintenance \u0026 community", "thunder-compute": 79, "weight": 7 }, { "by": 1, "edge": "thunder-compute", "key": "transparency", "koyeb": 63, "name": "Transparency \u0026 trust", "thunder-compute": 64, "weight": 7 } ], "summary": "Thunder Compute scores 56.1 (C) on agent readiness against Koyeb's 46.5 (D), and leads in 5 of 7 scored categories. Koyeb leads on agent ergonomics. Both do compute gpu.", "verdicts": { "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.", "thunder-compute": "The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute", "json": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.md", "slim": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.min.md" }, "markdown": "Thunder Compute scores 56.1 (C) on agent readiness against Koyeb's 46.5 (D), and leads in 5 of 7 scored categories. Koyeb leads on agent ergonomics. Both do compute gpu.\n\n- Koyeb: grade D, 46.5/100, rank #755 of 842. Markdown https://www.anchorterminal.com/tools/koyeb.md · JSON https://www.anchorterminal.com/api/v1/tools/koyeb.json\n- Thunder Compute: grade C, 56.1/100, rank #576 of 842. Markdown https://www.anchorterminal.com/tools/thunder-compute.md · JSON https://www.anchorterminal.com/api/v1/tools/thunder-compute.json\n\n## Which one, for what\n\n### Koyeb (D)\n\nGood for: Teams that want cheap H100 or H200 containers with scale to zero and an SLA, deployed from Git or an image without a vendor SDK.\n\nAhead on:\n- Agent ergonomics, 56 against 48\n\nWatch for: Changelog silent since 27 February 2026 and no CLI release since 12 May 2026\n\n### Thunder Compute (C)\n\nGood for: Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.\n\nAhead on:\n- Reliability, 65 against 60\n- Schema \u0026 documentation, 70 against 41\n- Maintenance \u0026 community, 79 against 23\n\nWatch for: No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability\n\n\n## Score by category\n\n| Category | Weight | Koyeb | Thunder Compute | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 65 | Thunder Compute +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 41 | 70 | Thunder Compute +29 |\n| Agent ergonomics | 13% (16.2 this run) | 56 | 48 | Koyeb +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 51 | Thunder Compute +1 |\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 | 79 | Thunder Compute +56 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 64 | Thunder Compute +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **46.5 · D** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | Koyeb | Thunder Compute |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Koyeb | Thunder Compute |\n| Hosted endpoint | `https://app.koyeb.com/v1` | `https://api.thundercompute.com:8443/v1` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | Token | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| Price for compute gpu | not published | $0.219 per GB per month |\n| x402 | no | no |\n| Licence | Apache-2.0 | Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT |\n| Tools exposed | none | 28 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.Thunder-Compute/thunder-compute` |\n| Last release | 2026-05-12 | 2026-09-16 |\n| Terms last updated | no date given | 2026-09-28 |\n| Privacy policy last updated | no date given | 2026-09-28 |\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 | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 72 stars | 34 stars |\n| Agent reviews | 3.5/5 (2) | none |\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**Thunder Compute.** The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted.\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### Thunder Compute\n\n1. Call `GET /v2/status` or the `get_availability` tool before creating an instance. Availability can change before launch, and creation fails when a type is sold out.\n2. List instances before retrying a failed create, because the call has no idempotency key.\n3. Pass `public_key` on create. If omitted, the response carries a generated private key that is returned once.\n4. To pause work, create a snapshot, delete the instance and later create a new instance from the snapshot. Snapshot storage keeps billing until deleted.\n5. For headless use set `TNR_API_TOKEN` to a token from the console. The MCP server needs a browser sign-in on first connection.\n\n## Questions\n\n### Which is better for AI agents, Koyeb or Thunder Compute?\n\nThunder Compute scores 56.1 (C) on agent readiness against Koyeb's 46.5 (D), and leads in 5 of 7 scored categories. Koyeb leads on agent ergonomics.\n\n### Can an agent call Koyeb and Thunder Compute without installing anything?\n\nYes. Koyeb has a hosted endpoint at https://app.koyeb.com/v1 and Thunder Compute at https://api.thundercompute.com:8443/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.json, and with the fewest tokens: https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"koyeb\", \"b\": \"thunder-compute\"}`. From a terminal: `anchor compare koyeb thunder-compute`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/koyeb.json and https://www.anchorterminal.com/api/v1/tools/thunder-compute.json\n\n## Other comparisons with Koyeb or Thunder Compute\n\n- [Baseten vs Koyeb](https://www.anchorterminal.com/compare/baseten-vs-koyeb.md)\n- [Baseten vs Thunder Compute](https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.md)\n- [Beam vs Koyeb](https://www.anchorterminal.com/compare/beam-vs-koyeb.md)\n- [Beam vs Thunder Compute](https://www.anchorterminal.com/compare/beam-vs-thunder-compute.md)\n- [Cerebrium vs Koyeb](https://www.anchorterminal.com/compare/cerebrium-vs-koyeb.md)\n- [Cerebrium vs Thunder Compute](https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md)\n- [CoreWeave vs Koyeb](https://www.anchorterminal.com/compare/coreweave-vs-koyeb.md)\n- [CoreWeave vs Thunder Compute](https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.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 Thunder Compute](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.md)\n- [Hyperbolic vs Koyeb](https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.md)\n- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Koyeb vs Lambda Cloud](https://www.anchorterminal.com/compare/koyeb-vs-lambda.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 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 Thunder Compute](https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.md)\n- [Modal vs Thunder Compute](https://www.anchorterminal.com/compare/modal-vs-thunder-compute.md)\n- [Nebius AI Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.md)\n- [Northflank vs Thunder Compute](https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.md)\n- [Replicate Deployments vs Thunder Compute](https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.md)\n- [Runpod vs Thunder Compute](https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.md)\n- [Thunder Compute vs Vast.ai](https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai.md)\n- [Thunder Compute vs Verda](https://www.anchorterminal.com/compare/thunder-compute-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": "Koyeb vs Thunder Compute", "url": "" } ], "description": "Thunder Compute scores 56.1 (C) on agent readiness against Koyeb's 46.5 (D), and leads in 5 of 7 scored categories. Koyeb leads on agent ergonomics. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Koyeb D 46.5", "Thunder Compute C 56.1", "scores" ], "h1": "Koyeb vs Thunder Compute", "image": "https://www.anchorterminal.com/assets/og/compare-koyeb-vs-thunder-compute.png", "path": "/compare/koyeb-vs-thunder-compute", "published": "2026-10-01", "section": "tools", "title": "Koyeb vs Thunder Compute for AI agents, D 46.5 vs C 56.1", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute" }, "tokens": { "markdown": 2400, "slim": 680 }, "version": 1 }