{
  "data": {
    "a": {
      "slug": "modal",
      "name": "Modal",
      "vendor": "Modal",
      "vendorUrl": "https://modal.com",
      "kind": "platform",
      "category": "gpu-compute",
      "summary": "Serverless functions, web endpoints, servers and GPU jobs from a Python decorator, with JavaScript and Go SDKs.",
      "url": "https://www.anchorterminal.com/tools/modal",
      "markdownUrl": "https://www.anchorterminal.com/tools/modal.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/modal.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/modal.json",
      "repo": "https://github.com/modal-labs/modal-client",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "modal"
        },
        {
          "registry": "npm",
          "name": "modal"
        }
      ],
      "auth": "api-key",
      "authNotes": "No public REST API for deploying. The SDKs and CLI authenticate with a token ID and secret from `modal token new`, read from `MODAL_TOKEN_ID` and `MODAL_TOKEN_SECRET` or `~/.modal.toml`; tokens can carry a TTL. Deployed web endpoints are open by default and can be locked with proxy tokens sent as `Modal-Key` and `Modal-Secret` headers. Servers and Endpoints require a proxy token by default, sent as `Authorization: Bearer \u003cid\u003e.\u003csecret\u003e`.",
      "pricing": "freemium",
      "pricingNotes": "Starter is $0 a month with $30 of compute included every month, 3 seats, 100 containers and 10 concurrent GPUs. Team is $250 a month plus compute with $100 included, unlimited seats, 5,000 containers and 50 concurrent GPUs. Enterprise is custom. GPUs bill per second with nothing charged at zero containers. T4 $0.000164, L4 $0.000222, A10 $0.000306, L40S $0.000542, A100 40 GB $0.000583, A100 80 GB $0.000694, RTX PRO 6000 $0.000842, H100 $0.001097, H200 $0.001261, B200 $0.001736 and B300 $0.001972 a second. The pricing page lists CPU at $0.0000131 a core-second (0.125 core minimum per container) and memory at $0.00000222 a GiB-second, and volumes at $0.09 a GiB-month after 1 TiB free (https://modal.com/pricing).",
      "priceSummary": "$250 / mo",
      "where": "local",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 514,
        "npmWeekly": 940973,
        "pypiWeekly": 10146778,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://modal.com/docs/guide",
      "llmsTxt": "https://modal.com/llms.txt",
      "capabilities": [
        "compute.gpu",
        "compute.serverless",
        "compute.endpoints",
        "compute.batch",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "no-card",
        "python",
        "typescript",
        "go",
        "llms-txt",
        "enterprise"
      ],
      "lastRelease": "2026-09-28",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63.6,
        "grade": "B",
        "agentReady": false,
        "rank": 346,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 4,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 57,
          "maintenance": 85,
          "payments": 30,
          "reliability": 70,
          "schema": 70,
          "security": 68,
          "transparency": 67
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Scale to zero by default, per-second billing and about one-second container boots. No REST API or OpenAPI spec for deploying or invoking Functions.",
        "bestFor": "Python teams that want GPU functions, batch jobs and HTTP endpoints from one decorator with scale to zero.",
        "strengths": [
          "Scale to zero by default, per-second billing and about one-second container boots",
          "Retention stated per data type (inputs and outputs up to 7 days, logs 1 to 30 days)",
          "Python, JavaScript and Go SDKs, with llms.txt and dated release notes",
          "Four short incidents on the status page between July and September 2026",
          "SOC 2 Type 2, a private HackerOne programme and published disclosure response times"
        ],
        "weaknesses": [
          "No REST API or OpenAPI spec for deploying or invoking Functions",
          "Web endpoints are open by default until proxy tokens are added",
          "RBAC, audit logs and HIPAA only on Enterprise",
          "No published SLA, and Starter caps concurrent GPUs at 10",
          "Region pinning costs 1.15 to 1.75 times the base price"
        ],
        "agentNotes": [
          "Create a proxy token and require it on every web endpoint before sharing the URL; endpoints are public by default",
          "Pass a list to `gpu=` (for example `[\"H100\", \"A100-80GB\"]`) so a job still runs when the first choice is unavailable",
          "Set `scaledown_window` and `min_containers` explicitly; the defaults are 60 seconds and 0",
          "Use `.spawn()` and poll the call ID for long work instead of holding a web request open",
          "Keep web endpoint traffic under 200 requests a second or ask Modal to raise the limit"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 4,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63.6
          }
        ],
        "editorialScores": {
          "ergonomics": 57,
          "maintenance": 85,
          "payments": 30,
          "reliability": 70,
          "schema": 70,
          "security": 68,
          "transparency": 63
        },
        "provenanceScore": 71
      },
      "connect": {
        "install": "pip install modal \u0026\u0026 modal setup",
        "http": "curl -X POST \"https://$MODAL_WORKSPACE--my-app-predict.modal.run\" \\\n  -H \"Modal-Key: $MODAL_PROXY_KEY\" -H \"Modal-Secret: $MODAL_PROXY_SECRET\" \\\n  -H \"Content-Type: application/json\" -d '{\"prompt\":\"hello\"}'"
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/modal"
      },
      "sameCompany": [
        "modal-sandboxes"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "H100 80 GB",
          "unit": "gpu-hour",
          "usd": 3.95,
          "note": "$0.001097 a second, may be upgraded to H200 at the same price"
        },
        {
          "item": "H200 141 GB",
          "unit": "gpu-hour",
          "usd": 4.54,
          "note": "$0.001261 a second"
        },
        {
          "item": "B200 180 GB",
          "unit": "gpu-hour",
          "usd": 6.25,
          "note": "$0.001736 a second"
        },
        {
          "item": "A100 80 GB",
          "unit": "gpu-hour",
          "usd": 2.5,
          "note": "$0.000694 a second"
        },
        {
          "item": "L40S 48 GB",
          "unit": "gpu-hour",
          "usd": 1.95,
          "note": "$0.000542 a second"
        },
        {
          "item": "L4 24 GB",
          "unit": "gpu-hour",
          "usd": 0.8,
          "note": "$0.000222 a second"
        },
        {
          "item": "T4 16 GB",
          "unit": "gpu-hour",
          "usd": 0.59,
          "note": "$0.000164 a second"
        },
        {
          "item": "Team plan",
          "unit": "month",
          "usd": 250,
          "note": "Plus compute, $100 included, 50 concurrent GPUs"
        }
      ],
      "provenance": {
        "legalEntity": "Modal Labs, Inc.",
        "domain": "modal.com",
        "domainRegistered": "1999-03-18",
        "domainNote": "modal.com was registered in 1999, long before Modal Labs, so the domain was bought later.",
        "endpointOnVendorDomain": false,
        "terms": "https://modal.com/legal/terms",
        "privacy": "https://modal.com/legal/privacy-policy",
        "statusPage": "https://status.modal.com",
        "changelog": "https://modal.com/docs/sdk/py/releases",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Terms (May 2026) name Modal Labs, Inc., a Delaware corporation, under California law.",
          "Deployed web endpoints and Servers are served from *.modal.run, a separate domain from modal.com. Deployment itself goes through the SDK, so there's no public API base URL to check.",
          "modal.com/.well-known/security.txt returns 404. The security guide gives security@modal.com and a private HackerOne programme.",
          "Modal Sandboxes are listed separately under code sandboxes."
        ],
        "score": 71
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/modal.json",
      "live": {
        "slug": "modal",
        "vendorStatus": {
          "page": "https://status.modal.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:58:11.313506769Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "modal",
            "version": "0.11.0",
            "seenAt": "2026-10-08T16:21:43.713175523Z"
          },
          {
            "registry": "pypi",
            "name": "modal",
            "version": "1.6.1",
            "released": "2026-10-03",
            "seenAt": "2026-10-08T16:21:43.571967985Z"
          }
        ],
        "githubStars": 522,
        "npmWeekly": 976721,
        "pypiWeekly": 10794735,
        "securityTxt": {
          "url": "https://modal.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:35.387911158Z"
        },
        "llmsTxt": {
          "url": "https://modal.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:41.354164105Z"
        },
        "domain": {
          "domain": "modal.com",
          "registered": "1999-03-18",
          "source": "https://rdap.verisign.com/com/v1/domain/modal.com",
          "checkedAt": "2026-10-04T13:03:51.14581991Z"
        },
        "updatedAt": "2026-10-09T07:58:11.313506769Z"
      }
    },
    "answer": "Modal scores 63.6 (B) on agent readiness against Thunder Compute's 56.1 (C), and leads in 6 of 7 scored categories.",
    "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": "Model platform",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Modal",
        "b": "Thunder Compute",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.thundercompute.com:8443/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "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": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.github.Thunder-Compute/thunder-compute",
        "name": "MCP registry"
      },
      {
        "a": "2026-09-28",
        "b": "2026-09-16",
        "name": "Last release"
      },
      {
        "a": "2026-05-01",
        "b": "2026-09-28",
        "name": "Terms last updated"
      },
      {
        "a": "2023-05-17",
        "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": "not found in the text",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "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": "514 stars, 941k npm/wk, 10.1M PyPI/wk",
        "b": "34 stars",
        "name": "Popularity"
      },
      {
        "a": "4/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Modal scores 63.6 (B) on agent readiness against Thunder Compute's 56.1 (C), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, Modal or Thunder Compute?"
      },
      {
        "answer": "No hosted endpoint is listed for Modal. Thunder Compute has a hosted endpoint at https://api.thundercompute.com:8443/v1.",
        "question": "Can an agent call Modal and Thunder Compute without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 70 against 65",
          "Agent ergonomics, 57 against 48",
          "Security \u0026 auth, 68 against 51",
          "Payments \u0026 pricing, 30 against 20",
          "Maintenance \u0026 community, 85 against 79"
        ],
        "also": [
          "Free to start without a card"
        ],
        "goodFor": "Python teams that want GPU functions, batch jobs and HTTP endpoints from one decorator with scale to zero.",
        "slug": "modal",
        "watchFor": "No REST API or OpenAPI spec for deploying or invoking Functions"
      },
      {
        "aheadOn": null,
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "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": {
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      "name": "Compute gpu"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/baseten-vs-modal.json",
        "title": "Baseten vs Modal",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-modal"
      },
      {
        "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-modal.json",
        "title": "Beam vs Modal",
        "url": "https://www.anchorterminal.com/compare/beam-vs-modal"
      },
      {
        "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-modal.json",
        "title": "Cerebrium vs Modal",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-modal"
      },
      {
        "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-modal.json",
        "title": "CoreWeave vs Modal",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-modal"
      },
      {
        "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-modal.json",
        "title": "Hugging Face Inference Endpoints vs Modal",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal"
      },
      {
        "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-modal.json",
        "title": "Hyperbolic vs Modal",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-modal"
      },
      {
        "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-modal.json",
        "title": "Koyeb vs Modal",
        "url": "https://www.anchorterminal.com/compare/koyeb-vs-modal"
      },
      {
        "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-modal.json",
        "title": "Lambda Cloud vs Modal",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-modal"
      },
      {
        "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-nebius-ai-cloud.json",
        "title": "Modal vs Nebius AI Cloud",
        "url": "https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-northflank.json",
        "title": "Modal vs Northflank",
        "url": "https://www.anchorterminal.com/compare/modal-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-replicate-deploy.json",
        "title": "Modal vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/modal-vs-replicate-deploy"
      },
      {
        "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-vast-ai.json",
        "title": "Modal vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/modal-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-verda.json",
        "title": "Modal vs Verda",
        "url": "https://www.anchorterminal.com/compare/modal-vs-verda"
      },
      {
        "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": "modal",
        "key": "reliability",
        "modal": 70,
        "name": "Reliability",
        "thunder-compute": 65,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 0,
        "edge": "",
        "key": "schema",
        "modal": 70,
        "name": "Schema \u0026 documentation",
        "thunder-compute": 70,
        "weight": 13
      },
      {
        "by": 9,
        "edge": "modal",
        "key": "ergonomics",
        "modal": 57,
        "name": "Agent ergonomics",
        "thunder-compute": 48,
        "weight": 13
      },
      {
        "by": 17,
        "edge": "modal",
        "key": "security",
        "modal": 68,
        "name": "Security \u0026 auth",
        "thunder-compute": 51,
        "weight": 14
      },
      {
        "by": 10,
        "edge": "modal",
        "key": "payments",
        "modal": 30,
        "name": "Payments \u0026 pricing",
        "thunder-compute": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 6,
        "edge": "modal",
        "key": "maintenance",
        "modal": 85,
        "name": "Maintenance \u0026 community",
        "thunder-compute": 79,
        "weight": 7
      },
      {
        "by": 3,
        "edge": "modal",
        "key": "transparency",
        "modal": 67,
        "name": "Transparency \u0026 trust",
        "thunder-compute": 64,
        "weight": 7
      }
    ],
    "summary": "Modal scores 63.6 (B) on agent readiness against Thunder Compute's 56.1 (C), and leads in 6 of 7 scored categories. Both do compute gpu.",
    "verdicts": {
      "modal": "Scale to zero by default, per-second billing and about one-second container boots. No REST API or OpenAPI spec for deploying or invoking Functions.",
      "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."
    }
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  "markdown": "Modal scores 63.6 (B) on agent readiness against Thunder Compute's 56.1 (C), and leads in 6 of 7 scored categories. Both do compute gpu.\n\n- Modal: grade B, 63.6/100, rank #346 of 842. Markdown https://www.anchorterminal.com/tools/modal.md · JSON https://www.anchorterminal.com/api/v1/tools/modal.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### Modal (B)\n\nGood for: Python teams that want GPU functions, batch jobs and HTTP endpoints from one decorator with scale to zero.\n\nAhead on:\n- Reliability, 70 against 65\n- Agent ergonomics, 57 against 48\n- Security \u0026 auth, 68 against 51\n- Payments \u0026 pricing, 30 against 20\n- Maintenance \u0026 community, 85 against 79\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: No REST API or OpenAPI spec for deploying or invoking Functions\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\nAlso in its favour:\n- A hosted endpoint, with nothing to install\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 | Modal | Thunder Compute | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 65 | Modal +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 70 | even |\n| Agent ergonomics | 13% (16.2 this run) | 57 | 48 | Modal +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 68 | 51 | Modal +17 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | Modal +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 79 | Modal +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 64 | Modal +3 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.6 · B** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | Modal | Thunder Compute |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Modal | Thunder Compute |\n| Hosted endpoint | no (local only) | `https://api.thundercompute.com:8443/v1` |\n| Transports |  | HTTP, Streamable HTTP |\n| Auth | API key | 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 | yes | yes |\n| MCP registry | not listed | `io.github.Thunder-Compute/thunder-compute` |\n| Last release | 2026-09-28 | 2026-09-16 |\n| Terms last updated | 2026-05-01 | 2026-09-28 |\n| Privacy policy last updated | 2023-05-17 | 2026-09-28 |\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 | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 514 stars, 941k npm/wk, 10.1M PyPI/wk | 34 stars |\n| Agent reviews | 4/5 (2) | none |\n\n## Verdicts\n\n**Modal.** Scale to zero by default, per-second billing and about one-second container boots. No REST API or OpenAPI spec for deploying or invoking Functions.\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### Modal\n\n1. Create a proxy token and require it on every web endpoint before sharing the URL; endpoints are public by default\n2. Pass a list to `gpu=` (for example `[\"H100\", \"A100-80GB\"]`) so a job still runs when the first choice is unavailable\n3. Set `scaledown_window` and `min_containers` explicitly; the defaults are 60 seconds and 0\n4. Use `.spawn()` and poll the call ID for long work instead of holding a web request open\n5. Keep web endpoint traffic under 200 requests a second or ask Modal to raise the limit\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, Modal or Thunder Compute?\n\nModal scores 63.6 (B) on agent readiness against Thunder Compute's 56.1 (C), and leads in 6 of 7 scored categories.\n\n### Can an agent call Modal and Thunder Compute without installing anything?\n\nNo hosted endpoint is listed for Modal. Thunder Compute has a hosted endpoint at https://api.thundercompute.com:8443/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/modal-vs-thunder-compute.json, and with the fewest tokens: https://www.anchorterminal.com/compare/modal-vs-thunder-compute.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"modal\", \"b\": \"thunder-compute\"}`. From a terminal: `anchor compare modal thunder-compute`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/modal.json and https://www.anchorterminal.com/api/v1/tools/thunder-compute.json\n\n## Other comparisons with Modal or Thunder Compute\n\n- [Baseten vs Modal](https://www.anchorterminal.com/compare/baseten-vs-modal.md)\n- [Baseten vs Thunder Compute](https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.md)\n- [Beam vs Modal](https://www.anchorterminal.com/compare/beam-vs-modal.md)\n- [Beam vs Thunder Compute](https://www.anchorterminal.com/compare/beam-vs-thunder-compute.md)\n- [Cerebrium vs Modal](https://www.anchorterminal.com/compare/cerebrium-vs-modal.md)\n- [Cerebrium vs Thunder Compute](https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md)\n- [CoreWeave vs Modal](https://www.anchorterminal.com/compare/coreweave-vs-modal.md)\n- [CoreWeave vs Thunder Compute](https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.md)\n- [Hugging Face Inference Endpoints vs Modal](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal.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 Modal](https://www.anchorterminal.com/compare/hyperbolic-vs-modal.md)\n- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Koyeb vs Modal](https://www.anchorterminal.com/compare/koyeb-vs-modal.md)\n- [Koyeb vs Thunder Compute](https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.md)\n- [Lambda Cloud vs Modal](https://www.anchorterminal.com/compare/lambda-vs-modal.md)\n- [Lambda Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.md)\n- [Modal vs Nebius AI Cloud](https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud.md)\n- [Modal vs Northflank](https://www.anchorterminal.com/compare/modal-vs-northflank.md)\n- [Modal vs Replicate Deployments](https://www.anchorterminal.com/compare/modal-vs-replicate-deploy.md)\n- [Modal vs Runpod](https://www.anchorterminal.com/compare/modal-vs-runpod.md)\n- [Modal vs Vast.ai](https://www.anchorterminal.com/compare/modal-vs-vast-ai.md)\n- [Modal vs Verda](https://www.anchorterminal.com/compare/modal-vs-verda.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",
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