{ "data": { "a": { "slug": "coreweave", "name": "CoreWeave", "vendor": "CoreWeave, Inc.", "vendorUrl": "https://www.coreweave.com", "kind": "http-api", "category": "gpu-compute", "summary": "CoreWeave is a GPU cloud that rents NVIDIA GPU nodes through a managed Kubernetes service (CKS), with REST and gRPC platform APIs, a Terraform provider and a hosted MCP server for observability.", "url": "https://www.anchorterminal.com/tools/coreweave", "markdownUrl": "https://www.anchorterminal.com/tools/coreweave.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/coreweave.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/coreweave.json", "repo": "https://github.com/coreweave/terraform-provider-coreweave", "license": "Proprietary service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT", "transports": [ "http" ], "remoteUrl": "https://api.coreweave.com", "packages": [], "auth": "pat", "authNotes": "Access starts with sales approval. CoreWeave's sales team approves an organisation and emails an activation link, then a user with the Access Token User role creates an API access token at console.coreweave.com/tokens with a name and an expiry. The token is user-scoped, shown once, revocable in the console and sent as `Authorization: Bearer` to api.coreweave.com, to a CKS cluster's Kubernetes API (through a kubeconfig) and to the Mission Control MCP server. What it can do follows the user's IAM roles, which include a Viewer and an Admin role per service. CKS workloads can also use OIDC workload identity federation. Serverless Inference takes a separate Forge API key.", "pricing": "usage", "pricingNotes": "Per instance-hour, published without a login. On demand in North America, HGX H100 (8 GPUs) $49.24, HGX H200 $50.44, HGX B200 $68.80, A100 $21.60, L40S $18.00, L40 $10.00, GB200 NVL72 (4 GPUs) $42.00 and GH200 (1 GPU) $6.50, with spot rates on most. GB300 NVL72 and HGX B300 on demand are quoted by sales. Reserved capacity is discounted by up to 60 per cent through sales. AI Object Storage is $0.06 a GB-month hot, $0.03 warm and $0.015 cold, distributed file storage $0.07, and egress, VPC and the CKS control plane are free. No free tier or self-serve trial was found, and the terms treat any trial as part of the sales-run ARENA programme (https://www.coreweave.com/pricing, https://docs.coreweave.com/policies/terms-of-service).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the API references or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": 38, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.coreweave.com/", "llmsTxt": "https://docs.coreweave.com/llms.txt", "openapi": "https://docs.coreweave.com/products/cks/reference/cks-api", "capabilities": [ "compute.gpu", "compute.containers", "compute.endpoints", "compute.batch" ], "tags": [ "hosted", "usage-priced", "enterprise", "sales-led", "mcp", "openapi", "llms-txt", "terraform", "status-page", "soc2" ], "lastRelease": "2026-10-02", "graded": true, "anchor": { "graded": true, "score": 61.5, "grade": "C", "agentReady": false, "rank": 363, "ranked": true, "rankOf": 722, "categoryRank": 5, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 58, "maintenance": 80, "payments": 20, "reliability": 50, "schema": 79, "security": 74, "transparency": 77 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Per-hour prices for 8-GPU H100, H200 and B200 nodes are public, the docs ship as Markdown with llms.txt and embedded OpenAPI specs, and IAM has read-only roles per service. An organisation must be approved by CoreWeave's sales team before any token exists, and no request rate limits were found in the reviewed documentation.", "bestFor": "Teams that already run Kubernetes and need whole multi-GPU nodes or clusters for training and dedicated inference, with a contract and IAM.", "strengths": [ "On-demand and spot prices per instance-hour are public, for example HGX H100 at $49.24 on demand and $19.71 spot for 8 GPUs", "Docs are served as Markdown with an llms.txt index, and OpenAPI 3.0 specs for CKS, VPC, storage and inference are embedded in the reference pages", "IAM has Viewer and Admin roles per service, API tokens carry an expiry, and Kubernetes audit logs can be forwarded with Telemetry Relay", "Terms carry a service level objective of 99.9 per cent across multiple regions and 99 per cent in one, with financial credits", "Dated changelog with 18 entries between 10 July and 2 October 2026, and a Terraform provider tagged v0.24.0 on 11 September 2026" ], "weaknesses": [ "No self-serve route. CoreWeave's sales team approves an organisation and emails the activation link before a token can be created", "No request rate limits, 429 guidance or idempotency keys found for api.coreweave.com in the reviewed documentation", "The CKS API is versioned v1beta1 and the Node Pool resource and Dedicated Inference API v1alpha1", "Three incidents between 26 September and 6 October 2026, including a US-CENTRAL-09A network outage of over two hours on 5 October", "The MCP tool `coreweave_kubectl_apply` ignores its `dry_run` parameter and applies the manifest, per the tool reference" ], "agentNotes": [ "Create an API access token at console.coreweave.com/tokens with an expiry and send it as `Authorization: Bearer` to https://api.coreweave.com", "Add GPUs by applying a NodePool resource (`compute.coreweave.com/v1alpha1`) to a CKS cluster with `instanceType` and `targetNodes`. `instanceType` can't be changed afterwards", "Set `targetNodes` to 0 or delete the Node Pool when a job ends. Nodes are whole 8-GPU machines billed by the hour", "Never pass `dry_run` to the MCP tool `coreweave_kubectl_apply` expecting a preview. The reference says the parameter is ignored and the manifest is applied", "Use a separate Forge API key and https://api.inference.wandb.ai/v1 for Serverless Inference. A CoreWeave API access token doesn't work there" ], "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": 61.5 } ], "editorialScores": { "ergonomics": 58, "maintenance": 80, "payments": 20, "reliability": 50, "schema": 79, "security": 74, "transparency": 71 }, "provenanceScore": 83 }, "connect": { "http": "curl \"https://api.coreweave.com/v1beta1/cks/clusters\" -H \"Authorization: Bearer $COREWEAVE_API_TOKEN\"", "claudeCode": "claude mcp add --transport http mission-control https://mc.coreweave.com/mcp --header \"Authorization: Bearer [YOUR-COREWEAVE-API-TOKEN]\"", "config": { "mcpServers": { "mission-control": { "headers": { "Authorization": "Bearer [YOUR-COREWEAVE-API-TOKEN]" }, "url": "https://mc.coreweave.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/coreweave" }, "area": "models", "unitPrices": [ { "item": "HGX H100 80 GB", "unit": "gpu-hour", "usd": 6.16, "note": "Published single-GPU rate. Sold as an 8-GPU node at $49.24 an hour on demand, $19.71 spot" }, { "item": "HGX H200 141 GB", "unit": "gpu-hour", "usd": 6.31, "note": "8-GPU node at $50.44 an hour on demand, $20.93 spot" }, { "item": "HGX B200 180 GB", "unit": "gpu-hour", "usd": 8.6, "note": "8-GPU node at $68.80 an hour on demand, $34.11 spot" }, { "item": "GB200 NVL72 186 GB", "unit": "gpu-hour", "usd": 10.5, "note": "4-GPU instance at $42.00 an hour on demand" }, { "item": "A100 80 GB", "unit": "gpu-hour", "usd": 2.7, "note": "8-GPU node at $21.60 an hour on demand, $9.65 spot" }, { "item": "L40S 48 GB", "unit": "gpu-hour", "usd": 2.25, "note": "8-GPU node at $18.00 an hour on demand, $7.88 spot" }, { "item": "AI Object Storage, hot tier", "unit": "gb-month", "usd": 0.06, "note": "Warm $0.03, cold $0.015. No egress fee" } ], "provenance": { "legalEntity": "CoreWeave, Inc.", "domain": "coreweave.com", "domainRegistered": "2019-04-01", "endpointOnVendorDomain": true, "terms": "https://docs.coreweave.com/policies/terms-of-service", "privacy": "https://docs.coreweave.com/policies/terms-of-service/privacy-policy", "statusPage": "https://status.coreweave.com", "changelog": "https://docs.coreweave.com/release-notes/changelog", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Terms of Service on docs.coreweave.com govern the CoreWeave Cloud Platform and were last modified on 30 June 2022. They are under New York law. The separate Terms of Use page covers the websites only.", "The privacy policy names CoreWeave, Inc. and its affiliates and was last updated on 24 February 2026.", "www.coreweave.com/.well-known/security.txt and coreweave.com/.well-known/security.txt return 404. A vulnerability disclosure policy is published in the docs.", "The APIs run on api.coreweave.com and mc.coreweave.com. Serverless Inference runs on api.inference.wandb.ai.", "coreweave.com was registered on 2019-04-01 per Verisign RDAP." ], "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/coreweave.json", "live": { "slug": "coreweave", "probe": { "target": "https://api.coreweave.com", "method": "get", "lastAt": "2026-10-08T19:52:48.677156226Z", "lastOk": true, "lastStatus": 404, "lastMs": 155, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 143, "p95ms24h": 202, "samples24h": 27, "samples30d": 27, "days": [ { "date": "2026-10-08", "probes": 27, "ok": 27 } ] }, "vendorStatus": { "page": "https://status.coreweave.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-08T19:38:24.32501026Z" }, "pages": [ { "url": "https://docs.coreweave.com/release-notes/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:18:37.275927892Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "526831cd5f7a" }, { "url": "https://www.coreweave.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:27:14.115245132Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "b92d2fed4434" }, { "url": "https://docs.coreweave.com/policies/terms-of-service/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:18:35.381020121Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "92c4d55f1382" }, { "url": "https://docs.coreweave.com/policies/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:18:32.98309125Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6f16ddc8984a" } ], "updatedAt": "2026-10-08T19:52:48.677156226Z" } }, "answer": "CoreWeave scores 61.5 (C) on agent readiness against Runpod's 53.5 (D), and leads in 4 of 7 scored categories.", "b": { "slug": "runpod", "name": "Runpod", "vendor": "Runpod", "vendorUrl": "https://www.runpod.io", "kind": "http-api", "category": "gpu-compute", "summary": "Serverless GPU endpoints, queue-based or load-balanced, and rented GPU Pods, billed per second from prepaid credit.", "url": "https://www.anchorterminal.com/tools/runpod", "markdownUrl": "https://www.anchorterminal.com/tools/runpod.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/runpod.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/runpod.json", "repo": "https://github.com/runpod/runpod-python", "license": "MIT", "transports": [ "http", "streamable-http", "stdio" ], "remoteUrl": "https://api.runpod.ai/v2", "packages": [ { "registry": "pypi", "name": "runpod" }, { "registry": "npm", "name": "runpod-sdk" }, { "registry": "npm", "name": "@runpod/mcp-server" }, { "registry": "pypi", "name": "runpod-flash" } ], "auth": "mixed", "authNotes": "API key from the console sent as `Authorization: Bearer` to serverless endpoints at api.runpod.ai/v2/\u003cendpoint-id\u003e and to the management REST API v2 at api.runpod.io/v2. Keys can be All, Read Only or Restricted per serverless endpoint. The deprecated GraphQL API takes the key as `?api_key=` in the URL. The hosted MCP server at mcp.getrunpod.io signs in with OAuth (Sign in with Runpod) or takes an API key as a Bearer header; the local `@runpod/mcp-server` reads `RUNPOD_API_KEY`.", "pricing": "usage", "pricingNotes": "Prepaid credit, billed per second and rounded up to the nearest second, with no data transfer fees and no free tier. Serverless flex workers an hour are 16 GB A4000 class $0.58, L4, A5000 or RTX 3090 $0.69, RTX 4090 $1.10, RTX Pro 4500 $1.15, A6000 or A40 $1.22, RTX 5090 $1.58, L40, L40S or RTX 6000 Ada $1.75, A100 80 GB $2.72, RTX Pro 6000 $3.49, H100 $4.79, H200 $5.93, B200 $8.64, B300 $9.98. Active (always-on) workers are discounted through sales. Pods run from $0.27 an hour (RTX A5000) to $7.89 (B300) on Community or Secure Cloud. Container disk $0.10 a GB-month, volume disk $0.10 running and $0.20 idle, network volumes $0.07 a GB-month under 1 TB and $0.05 above, high-performance $0.14. Default spend cap $80 an hour. Cards, crypto after KYC, prepaid cards at $100 or more a transaction, invoicing above $5,000 (https://www.runpod.io/pricing, https://docs.runpod.io/serverless/pricing, https://docs.runpod.io/accounts-billing/billing).", "priceSummary": "Pay per use", "where": "both", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 314, "npmWeekly": 21838, "pypiWeekly": 146926, "asOf": "2026-09-30" }, "docsUrl": "https://docs.runpod.io", "llmsTxt": "https://docs.runpod.io/llms.txt", "openapi": "https://api.runpod.io/v2/openapi.json", "capabilities": [ "compute.gpu", "compute.serverless", "compute.endpoints", "compute.batch", "compute.containers" ], "tags": [ "hosted", "usage-priced", "prepaid", "mcp", "oauth", "llms-txt", "python", "typescript", "async-jobs", "batch", "webhooks", "enterprise" ], "lastRelease": "2026-09-15", "graded": true, "anchor": { "graded": true, "score": 53.5, "grade": "D", "agentReady": false, "rank": 542, "ranked": true, "rankOf": 722, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 47, "maintenance": 82, "payments": 20, "reliability": 35, "schema": 81, "security": 60, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Per-second billing across more than a dozen serverless GPU classes, H100 at $4.79 and A100 80 GB at $2.72 an hour. Data-centre outages of 6 to 24 hours in each of July, August and September 2026.", "bestFor": "Cost-sensitive inference and batch work that wants the widest GPU choice, from consumer cards to B300, with an MCP control plane.", "strengths": [ "Per-second billing across more than a dozen serverless GPU classes, H100 at $4.79 and A100 80 GB at $2.72 an hour", "API keys can be Read Only or restricted per serverless endpoint", "OpenAPI file for REST v2, llms.txt and dated release notes with deprecation dates", "Official MCP server, hosted with OAuth or local over stdio", "Valid security.txt and SOC 2 Type 2 and ISO 27001 in the trust centre" ], "weaknesses": [ "Data-centre outages of 6 to 24 hours in each of July, August and September 2026", "No published rate limits, 429 guidance, error codes or SLA", "The GraphQL API, live until early 2027, takes the API key in the URL", "No free tier, prepaid credit only", "Three APIs in flight, with REST v1 retiring on 15 November 2026" ], "agentNotes": [ "Create a Restricted or Read Only key per endpoint for the agent, not an All key", "Use REST v2 at api.runpod.io/v2 with a Bearer header; avoid GraphQL, which puts the key in the URL", "Fetch `/run` results within 30 minutes and `/runsync` results within 1 minute, or they're gone", "Call `/retry` on a failed job ID rather than submitting a duplicate job", "Check `/health` before relying on an endpoint idle for a week, since max workers drop to 0" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 53.5 } ], "editorialScores": { "ergonomics": 47, "maintenance": 82, "payments": 20, "reliability": 35, "schema": 81, "security": 60, "transparency": 60 }, "provenanceScore": 66 }, "connect": { "install": "pip install runpod # or npm i runpod-sdk", "http": "curl -X POST \"https://api.runpod.ai/v2/$RUNPOD_ENDPOINT_ID/runsync\" \\\n -H \"Authorization: Bearer $RUNPOD_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"input\":{\"prompt\":\"Hello, world!\"}}'", "claudeCode": "claude mcp add --transport http runpod https://mcp.getrunpod.io/ --header \"Authorization: Bearer $RUNPOD_API_KEY\"", "config": { "mcpServers": { "runpod": { "args": [ "-y", "@runpod/mcp-server@latest" ], "command": "npx", "env": { "RUNPOD_API_KEY": "${RUNPOD_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/runpod" }, "area": "models", "unitPrices": [ { "item": "H100 80 GB serverless flex", "unit": "gpu-hour", "usd": 4.79, "note": "Billed per second" }, { "item": "H200 141 GB serverless flex", "unit": "gpu-hour", "usd": 5.93 }, { "item": "B200 180 GB serverless flex", "unit": "gpu-hour", "usd": 8.64 }, { "item": "A100 80 GB serverless flex", "unit": "gpu-hour", "usd": 2.72 }, { "item": "L40S 48 GB serverless flex", "unit": "gpu-hour", "usd": 1.75 }, { "item": "RTX 4090 24 GB serverless flex", "unit": "gpu-hour", "usd": 1.1 }, { "item": "L4 24 GB serverless flex", "unit": "gpu-hour", "usd": 0.69 }, { "item": "Container disk", "unit": "gb-month", "usd": 0.1 }, { "item": "Network volume under 1 TB", "unit": "gb-month", "usd": 0.07, "note": "$0.05 above 1 TB, $0.14 high-performance" } ], "provenance": { "legalEntity": "Runpod, Inc.", "domain": "runpod.io", "domainRegistered": "", "endpointOnVendorDomain": false, "terms": "https://www.runpod.io/legal/terms-of-service", "privacy": "https://www.runpod.io/legal/privacy-policy", "statusPage": "https://uptime.runpod.io", "changelog": "https://docs.runpod.io/release-notes", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "Terms effective 24 March 2026 name Runpod, Inc. under Delaware law. The privacy policy gives 329 Bryant St #4D, San Francisco.", "Serverless endpoints are served from api.runpod.ai and the management API from api.runpod.io, while the hosted MCP server sits on getrunpod.io.", "security.txt points to trust.runpod.io and expires 2027-01-31.", "The .io registry's RDAP server rate-limited our lookup, so the registration date is unrecorded." ], "score": 66 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/runpod.json", "live": { "slug": "runpod", "probe": { "target": "https://api.runpod.ai/v2", "method": "get", "lastAt": "2026-10-08T19:53:01.050175681Z", "lastOk": true, "lastStatus": 404, "lastMs": 50, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 54, "p95ms24h": 111, "samples24h": 272, "samples30d": 1941, "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": 225, "ok": 225 } ] }, "vendorStatus": { "page": "https://uptime.runpod.io", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-08T19:39:08.700912951Z" }, "versions": [ { "registry": "github", "name": "runpod/runpod-python", "version": "v1.12.0", "released": "2026-08-10", "seenAt": "2026-10-08T16:27:52.721885319Z" }, { "registry": "npm", "name": "@runpod/mcp-server", "version": "4.0.0", "seenAt": "2026-10-08T16:27:51.181072709Z" }, { "registry": "npm", "name": "runpod-sdk", "version": "1.1.2", "seenAt": "2026-10-08T16:27:50.332110359Z" }, { "registry": "pypi", "name": "runpod", "version": "1.12.0", "released": "2026-08-10", "seenAt": "2026-10-08T16:27:50.147142378Z" }, { "registry": "pypi", "name": "runpod-flash", "version": "1.20.0", "released": "2026-09-24", "seenAt": "2026-10-08T16:27:52.644090717Z" } ], "githubStars": 314, "npmWeekly": 30649, "pypiWeekly": 163037, "securityTxt": { "url": "https://runpod.io/.well-known/security.txt", "state": "valid", "expires": "2027-01-31T23:59:59Z", "checkedAt": "2026-10-08T15:38:36.644714031Z" }, "llmsTxt": { "url": "https://docs.runpod.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:51.140150765Z" }, "domain": { "domain": "runpod.io", "checkedAt": "2026-10-04T13:06:54.960688955Z" }, "pages": [ { "url": "https://docs.runpod.io/release-notes", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-08T18:19:23.565650782Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "64302af06aec" }, { "url": "https://docs.runpod.io/serverless/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:19:25.792000525Z", "changedAt": "2026-10-06T16:08:35.000217664Z", "fingerprint": "e5a52588b7ab" }, { "url": "https://www.runpod.io/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-08T18:30:09.061455266Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "4e4c891c31f7" }, { "url": "https://www.runpod.io/legal/privacy-policy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-08T18:30:05.013110293Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "00b9defcdf3d" }, { "url": "https://www.runpod.io/legal/terms-of-service", "kind": "terms", "status": 304, "checkedAt": "2026-10-08T18:30:07.057529612Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "4163df004c48" } ], "updatedAt": "2026-10-08T19:53:01.050175681Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "CoreWeave, Inc.", "b": "Runpod", "name": "Vendor" }, { "a": "https://api.coreweave.com", "b": "https://api.runpod.ai/v2", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, Streamable HTTP, stdio", "name": "Transports" }, { "a": "Token", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT", "b": "MIT", "name": "Licence" }, { "a": "38", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-02", "b": "2026-09-15", "name": "Last release" }, { "a": "2022-06-30", "b": "2026-03-24", "name": "Terms last updated" }, { "a": "2026-02-24", "b": "2025-08-07", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "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": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "314 stars, 22k npm/wk, 147k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "CoreWeave scores 61.5 (C) on agent readiness against Runpod's 53.5 (D), and leads in 4 of 7 scored categories.", "question": "Which is better for AI agents, CoreWeave or Runpod?" }, { "answer": "CoreWeave needs an access token. Runpod takes an API key or an OAuth sign-in.", "question": "Do CoreWeave and Runpod need an API key?" }, { "answer": "Yes. CoreWeave has a hosted endpoint at https://api.coreweave.com and Runpod at https://api.runpod.ai/v2.", "question": "Can an agent call CoreWeave and Runpod without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 50 against 35", "Agent ergonomics, 58 against 47", "Security \u0026 auth, 74 against 60", "Transparency \u0026 trust, 77 against 63" ], "also": null, "goodFor": "Teams that already run Kubernetes and need whole multi-GPU nodes or clusters for training and dedicated inference, with a contract and IAM.", "slug": "coreweave", "watchFor": "No self-serve route. CoreWeave's sales team approves an organisation and emails the activation link before a token can be created" }, { "aheadOn": null, "also": [ "Runs on your own machine" ], "goodFor": "Cost-sensitive inference and batch work that wants the widest GPU choice, from consumer cards to B300, with an MCP control plane.", "slug": "runpod", "watchFor": "Data-centre outages of 6 to 24 hours in each of July, August and September 2026" } ], "job": { "capability": "compute.gpu", "name": "Compute gpu" }, "others": [ { "json": "https://www.anchorterminal.com/compare/baseten-vs-coreweave.json", "title": "Baseten vs CoreWeave", "url": "https://www.anchorterminal.com/compare/baseten-vs-coreweave" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-runpod.json", "title": "Baseten vs Runpod", "url": "https://www.anchorterminal.com/compare/baseten-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-coreweave.json", "title": "Beam vs CoreWeave", "url": "https://www.anchorterminal.com/compare/beam-vs-coreweave" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-runpod.json", "title": "Beam vs Runpod", "url": "https://www.anchorterminal.com/compare/beam-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-coreweave.json", "title": "Cerebrium vs CoreWeave", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-coreweave" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-runpod.json", "title": "Cerebrium vs Runpod", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-runpod" }, { "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-lambda.json", "title": "CoreWeave vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/coreweave-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-modal.json", "title": "CoreWeave vs Modal", "url": "https://www.anchorterminal.com/compare/coreweave-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-northflank.json", "title": "CoreWeave vs Northflank", "url": "https://www.anchorterminal.com/compare/coreweave-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy.json", "title": "CoreWeave vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-vast-ai.json", "title": "CoreWeave vs Vast.ai", "url": "https://www.anchorterminal.com/compare/coreweave-vs-vast-ai" }, { "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/lambda-vs-runpod.json", "title": "Lambda Cloud vs Runpod", "url": "https://www.anchorterminal.com/compare/lambda-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/modal-vs-runpod.json", "title": "Modal vs Runpod", "url": "https://www.anchorterminal.com/compare/modal-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/northflank-vs-runpod.json", "title": "Northflank vs Runpod", "url": "https://www.anchorterminal.com/compare/northflank-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-runpod.json", "title": "Replicate Deployments vs Runpod", "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/runpod-vs-vast-ai.json", "title": "Runpod vs Vast.ai", "url": "https://www.anchorterminal.com/compare/runpod-vs-vast-ai" } ], "scores": [ { "by": 15, "coreweave": 50, "edge": "coreweave", "key": "reliability", "name": "Reliability", "runpod": 35, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "coreweave": 79, "edge": "runpod", "key": "schema", "name": "Schema \u0026 documentation", "runpod": 81, "weight": 13 }, { "by": 11, "coreweave": 58, "edge": "coreweave", "key": "ergonomics", "name": "Agent ergonomics", "runpod": 47, "weight": 13 }, { "by": 14, "coreweave": 74, "edge": "coreweave", "key": "security", "name": "Security \u0026 auth", "runpod": 60, "weight": 14 }, { "by": 0, "coreweave": 20, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "runpod": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "coreweave": 80, "edge": "runpod", "key": "maintenance", "name": "Maintenance \u0026 community", "runpod": 82, "weight": 7 }, { "by": 14, "coreweave": 77, "edge": "coreweave", "key": "transparency", "name": "Transparency \u0026 trust", "runpod": 63, "weight": 7 } ], "summary": "CoreWeave scores 61.5 (C) on agent readiness against Runpod's 53.5 (D), and leads in 4 of 7 scored categories. Both do compute gpu.", "verdicts": { "coreweave": "Per-hour prices for 8-GPU H100, H200 and B200 nodes are public, the docs ship as Markdown with llms.txt and embedded OpenAPI specs, and IAM has read-only roles per service. An organisation must be approved by CoreWeave's sales team before any token exists, and no request rate limits were found in the reviewed documentation.", "runpod": "Per-second billing across more than a dozen serverless GPU classes, H100 at $4.79 and A100 80 GB at $2.72 an hour. Data-centre outages of 6 to 24 hours in each of July, August and September 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/coreweave-vs-runpod", "json": "https://www.anchorterminal.com/compare/coreweave-vs-runpod.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/coreweave-vs-runpod.md", "slim": "https://www.anchorterminal.com/compare/coreweave-vs-runpod.min.md" }, "markdown": "CoreWeave scores 61.5 (C) on agent readiness against Runpod's 53.5 (D), and leads in 4 of 7 scored categories. Both do compute gpu.\n\n- CoreWeave: grade C, 61.5/100, rank #363 of 722. Markdown https://www.anchorterminal.com/tools/coreweave.md · JSON https://www.anchorterminal.com/api/v1/tools/coreweave.json\n- Runpod: grade D, 53.5/100, rank #542 of 722. Markdown https://www.anchorterminal.com/tools/runpod.md · JSON https://www.anchorterminal.com/api/v1/tools/runpod.json\n\n## Which one, for what\n\n### CoreWeave (C)\n\nGood for: Teams that already run Kubernetes and need whole multi-GPU nodes or clusters for training and dedicated inference, with a contract and IAM.\n\nAhead on:\n- Reliability, 50 against 35\n- Agent ergonomics, 58 against 47\n- Security \u0026 auth, 74 against 60\n- Transparency \u0026 trust, 77 against 63\n\nWatch for: No self-serve route. CoreWeave's sales team approves an organisation and emails the activation link before a token can be created\n\n### Runpod (D)\n\nGood for: Cost-sensitive inference and batch work that wants the widest GPU choice, from consumer cards to B300, with an MCP control plane.\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Data-centre outages of 6 to 24 hours in each of July, August and September 2026\n\n\n## Score by category\n\n| Category | Weight | CoreWeave | Runpod | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 35 | CoreWeave +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 79 | 81 | Runpod +2 |\n| Agent ergonomics | 13% (16.2 this run) | 58 | 47 | CoreWeave +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 60 | CoreWeave +14 |\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) | 80 | 82 | Runpod +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 77 | 63 | CoreWeave +14 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **61.5 · C** | **53.5 · D** | |\n\n## Facts side by side\n\n| Fact | CoreWeave | Runpod |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | CoreWeave, Inc. | Runpod |\n| Hosted endpoint | `https://api.coreweave.com` | `https://api.runpod.ai/v2` |\n| Transports | HTTP | HTTP, Streamable HTTP, stdio |\n| Auth | Token | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT | MIT |\n| Tools exposed | 38 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2026-09-15 |\n| Terms last updated | 2022-06-30 | 2026-03-24 |\n| Privacy policy last updated | 2026-02-24 | 2025-08-07 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | 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 | yes |\n| Popularity | none | 314 stars, 22k npm/wk, 147k PyPI/wk |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\n\n**CoreWeave.** Per-hour prices for 8-GPU H100, H200 and B200 nodes are public, the docs ship as Markdown with llms.txt and embedded OpenAPI specs, and IAM has read-only roles per service. An organisation must be approved by CoreWeave's sales team before any token exists, and no request rate limits were found in the reviewed documentation.\n\n**Runpod.** Per-second billing across more than a dozen serverless GPU classes, H100 at $4.79 and A100 80 GB at $2.72 an hour. Data-centre outages of 6 to 24 hours in each of July, August and September 2026.\n\n## Before you call either\n\n### CoreWeave\n\n1. Create an API access token at console.coreweave.com/tokens with an expiry and send it as `Authorization: Bearer` to https://api.coreweave.com\n2. Add GPUs by applying a NodePool resource (`compute.coreweave.com/v1alpha1`) to a CKS cluster with `instanceType` and `targetNodes`. `instanceType` can't be changed afterwards\n3. Set `targetNodes` to 0 or delete the Node Pool when a job ends. Nodes are whole 8-GPU machines billed by the hour\n4. Never pass `dry_run` to the MCP tool `coreweave_kubectl_apply` expecting a preview. The reference says the parameter is ignored and the manifest is applied\n5. Use a separate Forge API key and https://api.inference.wandb.ai/v1 for Serverless Inference. A CoreWeave API access token doesn't work there\n\n### Runpod\n\n1. Create a Restricted or Read Only key per endpoint for the agent, not an All key\n2. Use REST v2 at api.runpod.io/v2 with a Bearer header; avoid GraphQL, which puts the key in the URL\n3. Fetch `/run` results within 30 minutes and `/runsync` results within 1 minute, or they're gone\n4. Call `/retry` on a failed job ID rather than submitting a duplicate job\n5. Check `/health` before relying on an endpoint idle for a week, since max workers drop to 0\n\n## Questions\n\n### Which is better for AI agents, CoreWeave or Runpod?\n\nCoreWeave scores 61.5 (C) on agent readiness against Runpod's 53.5 (D), and leads in 4 of 7 scored categories.\n\n### Do CoreWeave and Runpod need an API key?\n\nCoreWeave needs an access token. Runpod takes an API key or an OAuth sign-in.\n\n### Can an agent call CoreWeave and Runpod without installing anything?\n\nYes. CoreWeave has a hosted endpoint at https://api.coreweave.com and Runpod at https://api.runpod.ai/v2.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/coreweave-vs-runpod.json, and with the fewest tokens: https://www.anchorterminal.com/compare/coreweave-vs-runpod.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"coreweave\", \"b\": \"runpod\"}`. From a terminal: `anchor compare coreweave runpod`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/coreweave.json and https://www.anchorterminal.com/api/v1/tools/runpod.json\n\n## Other comparisons with CoreWeave or Runpod\n\n- [Baseten vs CoreWeave](https://www.anchorterminal.com/compare/baseten-vs-coreweave.md)\n- [Baseten vs Runpod](https://www.anchorterminal.com/compare/baseten-vs-runpod.md)\n- [Beam vs CoreWeave](https://www.anchorterminal.com/compare/beam-vs-coreweave.md)\n- [Beam vs Runpod](https://www.anchorterminal.com/compare/beam-vs-runpod.md)\n- [Cerebrium vs CoreWeave](https://www.anchorterminal.com/compare/cerebrium-vs-coreweave.md)\n- [Cerebrium vs Runpod](https://www.anchorterminal.com/compare/cerebrium-vs-runpod.md)\n- [CoreWeave vs Koyeb](https://www.anchorterminal.com/compare/coreweave-vs-koyeb.md)\n- [CoreWeave vs Lambda Cloud](https://www.anchorterminal.com/compare/coreweave-vs-lambda.md)\n- [CoreWeave vs Modal](https://www.anchorterminal.com/compare/coreweave-vs-modal.md)\n- [CoreWeave vs Northflank](https://www.anchorterminal.com/compare/coreweave-vs-northflank.md)\n- [CoreWeave vs Replicate Deployments](https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy.md)\n- [CoreWeave vs Vast.ai](https://www.anchorterminal.com/compare/coreweave-vs-vast-ai.md)\n- [Koyeb vs Runpod](https://www.anchorterminal.com/compare/koyeb-vs-runpod.md)\n- [Lambda Cloud vs Runpod](https://www.anchorterminal.com/compare/lambda-vs-runpod.md)\n- [Modal vs Runpod](https://www.anchorterminal.com/compare/modal-vs-runpod.md)\n- [Northflank vs Runpod](https://www.anchorterminal.com/compare/northflank-vs-runpod.md)\n- [Replicate Deployments vs Runpod](https://www.anchorterminal.com/compare/replicate-deploy-vs-runpod.md)\n- [Runpod vs Vast.ai](https://www.anchorterminal.com/compare/runpod-vs-vast-ai.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "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": "CoreWeave vs Runpod", "url": "" } ], "description": "CoreWeave scores 61.5 (C) on agent readiness against Runpod's 53.5 (D), and leads in 4 of 7 scored categories. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "CoreWeave C 61.5", "Runpod D 53.5", "scores" ], "h1": "CoreWeave vs Runpod", "image": "https://www.anchorterminal.com/assets/og/compare-coreweave-vs-runpod.png", "path": "/compare/coreweave-vs-runpod", "published": "2026-10-01", "section": "tools", "title": "CoreWeave vs Runpod for AI agents, C 61.5 vs D 53.5 | Anchor Terminal", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/coreweave-vs-runpod" }, "tokens": { "markdown": 2100, "slim": 630 }, "version": 1 }