{ "data": { "a": { "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": 629, "ranked": true, "rankOf": 842, "categoryRank": 13, "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": "2026-10-09T09:27:03.420516613Z", "lastOk": true, "lastStatus": 404, "lastMs": 48, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 51, "p95ms24h": 89, "samples24h": 261, "samples30d": 2085, "days": [ { "date": "2026-10-01", "probes": 109, "ok": 109 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 101, "ok": 101 } ] }, "vendorStatus": { "page": "https://uptime.runpod.io", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:29.966292433Z" }, "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": "2026-10-09T09:27:03.420516613Z" } }, "answer": "Thunder Compute scores 56.1 (C) on agent readiness against Runpod's 53.5 (D), and leads in 3 of 7 scored categories. Runpod leads on schema \u0026 documentation and security \u0026 auth.", "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": "2026-10-09T09:27:07.340219077Z", "lastOk": true, "lastStatus": 404, "lastMs": 219, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 619, "p95ms24h": 717, "samples24h": 20, "samples30d": 20, "days": [ { "date": "2026-10-09", "probes": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.thundercompute.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T09:25:35.789610874Z" }, "updatedAt": "2026-10-09T09:27:07.340219077Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Runpod", "b": "Thunder Compute", "name": "Vendor" }, { "a": "https://api.runpod.ai/v2", "b": "https://api.thundercompute.com:8443/v1", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP, stdio", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "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": "MIT", "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": "yes", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.Thunder-Compute/thunder-compute", "name": "MCP registry" }, { "a": "2026-09-15", "b": "2026-09-16", "name": "Last release" }, { "a": "2026-03-24", "b": "2026-09-28", "name": "Terms last updated" }, { "a": "2025-08-07", "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": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "314 stars, 22k npm/wk, 147k PyPI/wk", "b": "34 stars", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Thunder Compute scores 56.1 (C) on agent readiness against Runpod's 53.5 (D), and leads in 3 of 7 scored categories. Runpod leads on schema \u0026 documentation and security \u0026 auth.", "question": "Which is better for AI agents, Runpod or Thunder Compute?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Runpod and Thunder Compute need an API key?" }, { "answer": "Yes. Runpod has a hosted endpoint at https://api.runpod.ai/v2 and Thunder Compute at https://api.thundercompute.com:8443/v1.", "question": "Can an agent call Runpod and Thunder Compute without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 81 against 70", "Security \u0026 auth, 60 against 51" ], "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" }, { "aheadOn": [ "Reliability, 65 against 35" ], "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-runpod.json", "title": "Baseten vs Runpod", "url": "https://www.anchorterminal.com/compare/baseten-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.json", "title": "Baseten vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/baseten-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-runpod.json", "title": "Beam vs Runpod", "url": "https://www.anchorterminal.com/compare/beam-vs-runpod" }, { "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-runpod.json", "title": "Cerebrium vs Runpod", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-runpod" }, { "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-runpod.json", "title": "CoreWeave vs Runpod", "url": "https://www.anchorterminal.com/compare/coreweave-vs-runpod" }, { "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-runpod.json", "title": "Hugging Face Inference Endpoints vs Runpod", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-runpod" }, { "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-runpod.json", "title": "Hyperbolic vs Runpod", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.json", "title": "Hyperbolic vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-runpod.json", "title": "Koyeb vs Runpod", "url": "https://www.anchorterminal.com/compare/koyeb-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.json", "title": "Koyeb vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/lambda-vs-runpod.json", "title": "Lambda Cloud vs Runpod", "url": "https://www.anchorterminal.com/compare/lambda-vs-runpod" }, { "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-runpod.json", "title": "Modal vs Runpod", "url": "https://www.anchorterminal.com/compare/modal-vs-runpod" }, { "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-runpod.json", "title": "Nebius AI Cloud vs Runpod", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-runpod" }, { "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-runpod.json", "title": "Northflank vs Runpod", "url": "https://www.anchorterminal.com/compare/northflank-vs-runpod" }, { "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-runpod.json", "title": "Replicate Deployments vs Runpod", "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-runpod" }, { "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-vast-ai.json", "title": "Runpod vs Vast.ai", "url": "https://www.anchorterminal.com/compare/runpod-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/runpod-vs-verda.json", "title": "Runpod vs Verda", "url": "https://www.anchorterminal.com/compare/runpod-vs-verda" }, { "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": 30, "edge": "thunder-compute", "key": "reliability", "name": "Reliability", "runpod": 35, "thunder-compute": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 11, "edge": "runpod", "key": "schema", "name": "Schema \u0026 documentation", "runpod": 81, "thunder-compute": 70, "weight": 13 }, { "by": 1, "edge": "thunder-compute", "key": "ergonomics", "name": "Agent ergonomics", "runpod": 47, "thunder-compute": 48, "weight": 13 }, { "by": 9, "edge": "runpod", "key": "security", "name": "Security \u0026 auth", "runpod": 60, "thunder-compute": 51, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "runpod": 20, "thunder-compute": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 3, "edge": "runpod", "key": "maintenance", "name": "Maintenance \u0026 community", "runpod": 82, "thunder-compute": 79, "weight": 7 }, { "by": 1, "edge": "thunder-compute", "key": "transparency", "name": "Transparency \u0026 trust", "runpod": 63, "thunder-compute": 64, "weight": 7 } ], "summary": "Thunder Compute scores 56.1 (C) on agent readiness against Runpod's 53.5 (D), and leads in 3 of 7 scored categories. Runpod leads on schema \u0026 documentation and security \u0026 auth. Both do compute gpu.", "verdicts": { "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.", "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/runpod-vs-thunder-compute", "json": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.md", "slim": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.min.md" }, "markdown": "Thunder Compute scores 56.1 (C) on agent readiness against Runpod's 53.5 (D), and leads in 3 of 7 scored categories. Runpod leads on schema \u0026 documentation and security \u0026 auth. Both do compute gpu.\n\n- Runpod: grade D, 53.5/100, rank #629 of 842. Markdown https://www.anchorterminal.com/tools/runpod.md · JSON https://www.anchorterminal.com/api/v1/tools/runpod.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### 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\nAhead on:\n- Schema \u0026 documentation, 81 against 70\n- Security \u0026 auth, 60 against 51\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### 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 35\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 | Runpod | Thunder Compute | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 35 | 65 | Thunder Compute +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 70 | Runpod +11 |\n| Agent ergonomics | 13% (16.2 this run) | 47 | 48 | Thunder Compute +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 51 | Runpod +9 |\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) | 82 | 79 | Runpod +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 64 | Thunder Compute +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **53.5 · D** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | Runpod | Thunder Compute |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Runpod | Thunder Compute |\n| Hosted endpoint | `https://api.runpod.ai/v2` | `https://api.thundercompute.com:8443/v1` |\n| Transports | HTTP, Streamable HTTP, stdio | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| Price for compute gpu | not published | $0.219 per GB per month |\n| x402 | no | no |\n| Licence | MIT | 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 | yes | yes |\n| MCP registry | not listed | `io.github.Thunder-Compute/thunder-compute` |\n| Last release | 2026-09-15 | 2026-09-16 |\n| Terms last updated | 2026-03-24 | 2026-09-28 |\n| Privacy policy last updated | 2025-08-07 | 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 | yes | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 314 stars, 22k npm/wk, 147k PyPI/wk | 34 stars |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\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**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### 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### 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, Runpod or Thunder Compute?\n\nThunder Compute scores 56.1 (C) on agent readiness against Runpod's 53.5 (D), and leads in 3 of 7 scored categories. Runpod leads on schema \u0026 documentation and security \u0026 auth.\n\n### Do Runpod and Thunder Compute need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Runpod and Thunder Compute without installing anything?\n\nYes. Runpod has a hosted endpoint at https://api.runpod.ai/v2 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/runpod-vs-thunder-compute.json, and with the fewest tokens: https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"runpod\", \"b\": \"thunder-compute\"}`. From a terminal: `anchor compare runpod thunder-compute`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/runpod.json and https://www.anchorterminal.com/api/v1/tools/thunder-compute.json\n\n## Other comparisons with Runpod or Thunder Compute\n\n- [Baseten vs Runpod](https://www.anchorterminal.com/compare/baseten-vs-runpod.md)\n- [Baseten vs Thunder Compute](https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.md)\n- [Beam vs Runpod](https://www.anchorterminal.com/compare/beam-vs-runpod.md)\n- [Beam vs Thunder Compute](https://www.anchorterminal.com/compare/beam-vs-thunder-compute.md)\n- [Cerebrium vs Runpod](https://www.anchorterminal.com/compare/cerebrium-vs-runpod.md)\n- [Cerebrium vs Thunder Compute](https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md)\n- [CoreWeave vs Runpod](https://www.anchorterminal.com/compare/coreweave-vs-runpod.md)\n- [CoreWeave vs Thunder Compute](https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.md)\n- [Hugging Face Inference Endpoints vs Runpod](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-runpod.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 Runpod](https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.md)\n- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Koyeb vs Runpod](https://www.anchorterminal.com/compare/koyeb-vs-runpod.md)\n- [Koyeb vs Thunder Compute](https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.md)\n- [Lambda Cloud vs Runpod](https://www.anchorterminal.com/compare/lambda-vs-runpod.md)\n- [Lambda Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.md)\n- [Modal vs Runpod](https://www.anchorterminal.com/compare/modal-vs-runpod.md)\n- [Modal vs Thunder Compute](https://www.anchorterminal.com/compare/modal-vs-thunder-compute.md)\n- [Nebius AI Cloud vs Runpod](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-runpod.md)\n- [Nebius AI Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.md)\n- [Northflank vs Runpod](https://www.anchorterminal.com/compare/northflank-vs-runpod.md)\n- [Northflank vs Thunder Compute](https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.md)\n- [Replicate Deployments vs Runpod](https://www.anchorterminal.com/compare/replicate-deploy-vs-runpod.md)\n- [Replicate Deployments vs Thunder Compute](https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.md)\n- [Runpod vs Vast.ai](https://www.anchorterminal.com/compare/runpod-vs-vast-ai.md)\n- [Runpod vs Verda](https://www.anchorterminal.com/compare/runpod-vs-verda.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": "Runpod vs Thunder Compute", "url": "" } ], "description": "Thunder Compute scores 56.1 (C) on agent readiness against Runpod's 53.5 (D), and leads in 3 of 7 scored categories. Runpod leads on schema \u0026 documentation and security \u0026 auth. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Runpod D 53.5", "Thunder Compute C 56.1", "scores" ], "h1": "Runpod vs Thunder Compute", "image": "https://www.anchorterminal.com/assets/og/compare-runpod-vs-thunder-compute.png", "path": "/compare/runpod-vs-thunder-compute", "published": "2026-10-01", "section": "tools", "title": "Runpod vs Thunder Compute for AI agents, D 53.5 vs C 56.1", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute" }, "tokens": { "markdown": 2450, "slim": 680 }, "version": 1 }