{
  "data": {
    "a": {
      "slug": "beam",
      "name": "Beam",
      "vendor": "Beam",
      "vendorUrl": "https://www.beam.cloud",
      "kind": "platform",
      "category": "gpu-compute",
      "summary": "Serverless GPU endpoints, task queues, functions, pods and sandboxes from Python decorators, on the open-source beta9 runtime.",
      "url": "https://www.anchorterminal.com/tools/beam",
      "markdownUrl": "https://www.anchorterminal.com/tools/beam.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/beam.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/beam.json",
      "repo": "https://github.com/beam-cloud/beta9",
      "license": "AGPL-3.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://app.beam.cloud/api/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "beam-client"
        }
      ],
      "auth": "api-key",
      "authNotes": "API token from platform.beam.cloud, read from `BEAM_TOKEN` by the SDK and CLI or stored by `beam login` in `~/.beam/config.ini`, with named contexts for several workspaces. Deployed endpoints take the same token as `Authorization: Bearer`. The TypeScript SDK sets `beamOpts.token` server-side.",
      "pricing": "freemium",
      "pricingNotes": "Developer plan is free plus usage, Team $89 a month plus usage, Growth on request. Billed by the millisecond only while a container runs, which includes `on_start` and `keep_warm_seconds`; cold starts and image pulls aren't billed. Serverless GPUs are RTX 4090 24 GB $0.000192 a second ($0.69 an hour), RTX 5090 32 GB $0.000303 ($1.09), H100 PCIe 80 GB $0.000972 ($3.50). Reserved on-demand machines from $0.44 an hour (RTX 4090), $1.36 (A100 80 GB), $1.83 (H100 PCIe), $2.09 (H200), $4.11 (B200), billed until released even when idle. CPU $0.0000125 a core-second and RAM $0.0000021 a GiB-second on CPU-only work, $0.000105 and $0.0000055 when attached to a GPU, $0.0000375 and $0.0000064 in sandboxes. Storage 1 TB included, then $0.021 a GB-month (https://www.beam.cloud/pricing, https://docs.beam.cloud/v2/resources/pricing-and-billing).",
      "priceSummary": "$0.045 / vCPU-hr",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 1800,
        "npmWeekly": null,
        "pypiWeekly": 8481,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.beam.cloud",
      "llmsTxt": "https://docs.beam.cloud/llms.txt",
      "capabilities": [
        "compute.gpu",
        "compute.serverless",
        "compute.endpoints",
        "compute.batch",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "open-source",
        "self-hosted",
        "python",
        "typescript",
        "llms-txt",
        "async-jobs"
      ],
      "lastRelease": "2026-10-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 55.5,
        "grade": "C",
        "agentReady": false,
        "rank": 313,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 5,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 58,
          "maintenance": 85,
          "payments": 40,
          "reliability": 55,
          "schema": 58,
          "security": 50,
          "transparency": 74
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -2,
        "negativeNotes": [
          "-2: `beam deploy --format json` writes the full workspace bearer token into the JSON logs array that CI systems keep. Filed by a Beam engineer on 2026-08-04 and still open on 2026-10-01 (https://github.com/beam-cloud/beta9/issues/1828)"
        ],
        "verdict": "Per-millisecond billing with cold starts and image pulls free, H100 PCIe at $3.50 and RTX 4090 at $0.69 an hour. No published request rate limits, 429 handling or SLA.",
        "strengths": [
          "Per-millisecond billing with cold starts and image pulls free, H100 PCIe at $3.50 and RTX 4090 at $0.69 an hour",
          "Free Developer plan with no card required",
          "beta9, the engine the hosted cloud runs on, is AGPL-3.0 and self-hostable",
          "Workspace REST API and an official MCP server, local or remote, on the same token",
          "Privacy policy with retention periods per category and a published subprocessor list"
        ],
        "weaknesses": [
          "No published request rate limits, 429 handling or SLA",
          "No public changelog or deprecation notices; releases show up only on PyPI and GitHub",
          "Tokens have no documented scopes or read-only mode",
          "`beam deploy --format json` leaks the workspace token into its logs, open since 4 August 2026",
          "Status page silent since June 2025 despite sign-up failures reported on GitHub in August 2026"
        ],
        "agentNotes": [
          "Check the response body for `ok: false` on gateway calls; a failure can arrive as HTTP 200",
          "Don't pipe `beam deploy --format json` output into CI logs, since it contains the workspace token",
          "Route anything over 180 seconds to a task queue and poll the task instead of holding the endpoint request",
          "Set `keep_warm_seconds` deliberately; the 180-second endpoint default bills three minutes of GPU after every call",
          "Pass `gpu=[\"RTX4090\", \"A10G\"]` so a job still schedules when one type is out"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 55.5
          }
        ],
        "editorialScores": {
          "ergonomics": 58,
          "maintenance": 85,
          "payments": 40,
          "reliability": 55,
          "schema": 58,
          "security": 50,
          "transparency": 71
        },
        "provenanceScore": 76
      },
      "connect": {
        "install": "pip install beam-client \u0026\u0026 beam login",
        "http": "curl -X POST \"https://my-function-$BEAM_DEPLOYMENT_ID-v1.app.beam.cloud\" \\\n  -H \"Authorization: Bearer $BEAM_TOKEN\" -H \"Content-Type: application/json\" \\\n  -d '{\"x\":10}'"
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/beam"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "H100 PCIe 80 GB serverless",
          "unit": "gpu-hour",
          "usd": 3.5,
          "note": "$0.000972 a second"
        },
        {
          "item": "RTX 5090 32 GB serverless",
          "unit": "gpu-hour",
          "usd": 1.09,
          "note": "$0.000303 a second"
        },
        {
          "item": "RTX 4090 24 GB serverless",
          "unit": "gpu-hour",
          "usd": 0.69,
          "note": "$0.000192 a second"
        },
        {
          "item": "B200 180 GB reserved machine",
          "unit": "gpu-hour",
          "usd": 4.11,
          "note": "From price, billed while reserved"
        },
        {
          "item": "H200 141 GB reserved machine",
          "unit": "gpu-hour",
          "usd": 2.09,
          "note": "From price, billed while reserved"
        },
        {
          "item": "A100 80 GB reserved machine",
          "unit": "gpu-hour",
          "usd": 1.36,
          "note": "From price, billed while reserved"
        },
        {
          "item": "CPU-only compute",
          "unit": "vcpu-hour",
          "usd": 0.045,
          "note": "$0.0000125 a core-second, RAM extra at $0.0000021 a GiB-second"
        },
        {
          "item": "Team plan",
          "unit": "month",
          "usd": 89,
          "note": "Plus usage"
        }
      ],
      "provenance": {
        "legalEntity": "Smartshare, Inc.",
        "domain": "beam.cloud",
        "domainRegistered": "2019-07-31",
        "endpointOnVendorDomain": true,
        "terms": "https://docs.beam.cloud/v2/security/terms-and-conditions",
        "privacy": "https://docs.beam.cloud/v2/security/privacy-policy",
        "statusPage": "https://status.beam.cloud",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Terms dated 14 September 2026 name Smartshare, Inc., a Delaware corporation doing business as Beam. The site footer reads © 2026 Smartshare, Inc.",
          "Deployed endpoints run on app.beam.cloud, a subdomain of the vendor domain. There's no public REST base URL for deploying.",
          "www.beam.cloud/.well-known/security.txt and www.beam.cloud/terms return 404; the legal pages live under docs.beam.cloud.",
          "No public changelog found; releases show up as commits in the beam-client and beta9 repositories."
        ],
        "score": 76
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/beam.json",
      "live": {
        "slug": "beam",
        "probe": {
          "target": "https://app.beam.cloud/api/v1",
          "method": "get",
          "lastAt": "2026-10-05T03:17:22.676160272Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 267,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 259,
          "p95ms24h": 323,
          "samples24h": 273,
          "samples30d": 681,
          "days": [
            {
              "date": "2026-10-02",
              "probes": 100,
              "ok": 100
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 38,
              "ok": 38
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.beam.cloud",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-05T03:18:55.646386448Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "beam-cloud/beta9",
            "version": "worker-0.1.781",
            "released": "2026-10-03",
            "seenAt": "2026-10-04T16:22:06.02863332Z"
          },
          {
            "registry": "pypi",
            "name": "beam-client",
            "version": "0.2.217",
            "released": "2026-10-02",
            "seenAt": "2026-10-04T16:22:05.839399711Z"
          }
        ],
        "githubStars": 1802,
        "pypiWeekly": 9877,
        "securityTxt": {
          "url": "https://beam.cloud/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:16:04.647716161Z"
        },
        "llmsTxt": {
          "url": "https://docs.beam.cloud/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:19.657901017Z"
        },
        "domain": {
          "domain": "beam.cloud",
          "registered": "2019-07-31",
          "source": "https://rdap.registry.cloud/rdap/domain/beam.cloud",
          "checkedAt": "2026-10-04T13:04:15.987834596Z"
        },
        "pages": [
          {
            "url": "https://docs.beam.cloud/v2/resources/pricing-and-billing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:43:14.08690057Z",
            "changedAt": "2026-10-04T15:43:14.08690057Z",
            "fingerprint": "9430ae529da0"
          },
          {
            "url": "https://www.beam.cloud/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-04T15:49:25.671086961Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "dedbd2b07b0a"
          },
          {
            "url": "https://docs.beam.cloud/v2/security/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:43:16.313382922Z",
            "changedAt": "2026-10-04T15:43:16.313382922Z",
            "fingerprint": "4072b33654b6"
          },
          {
            "url": "https://docs.beam.cloud/v2/security/terms-and-conditions",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:43:18.294864193Z",
            "changedAt": "2026-10-04T15:43:18.294864193Z",
            "fingerprint": "988292e328cf"
          }
        ],
        "updatedAt": "2026-10-05T03:18:55.646386448Z"
      }
    },
    "b": {
      "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": 63.8,
        "grade": "B",
        "agentReady": false,
        "rank": 195,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 2,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 57,
          "maintenance": 85,
          "payments": 30,
          "reliability": 70,
          "schema": 70,
          "security": 68,
          "transparency": 69
        },
        "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.",
        "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": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63.8
          }
        ],
        "editorialScores": {
          "ergonomics": 57,
          "maintenance": 85,
          "payments": 30,
          "reliability": 70,
          "schema": 70,
          "security": 68,
          "transparency": 63
        },
        "provenanceScore": 75
      },
      "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": 75
      },
      "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": "2026-10-04T18:12:01.451022336Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "modal",
            "version": "0.11.0",
            "seenAt": "2026-10-04T16:33:46.797593577Z"
          },
          {
            "registry": "pypi",
            "name": "modal",
            "version": "1.6.1",
            "released": "2026-10-03",
            "seenAt": "2026-10-04T16:33:46.666636627Z"
          }
        ],
        "githubStars": 522,
        "npmWeekly": 975301,
        "pypiWeekly": 10793701,
        "securityTxt": {
          "url": "https://modal.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:42.140189006Z"
        },
        "llmsTxt": {
          "url": "https://modal.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:18:01.18366808Z"
        },
        "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": "2026-10-04T18:12:01.451022336Z"
      }
    },
    "summary": "Modal has a score of 63.8 (B) against Beam's 55.5 (C). Both do compute gpu. The largest gap is security \u0026 auth, 18 points."
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/beam-vs-modal",
    "json": "https://www.anchorterminal.com/compare/beam-vs-modal.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
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  "markdown": "Modal has a score of 63.8 (B) against Beam's 55.5 (C). Both do compute gpu. The largest gap is security \u0026 auth, 18 points.\n\n- Beam: grade C, 55.5/100, rank #313 of 452. Markdown https://www.anchorterminal.com/tools/beam.md · JSON https://www.anchorterminal.com/api/v1/tools/beam.json\n- Modal: grade B, 63.8/100, rank #195 of 452. Markdown https://www.anchorterminal.com/tools/modal.md · JSON https://www.anchorterminal.com/api/v1/tools/modal.json\n\n## Which one, for what\n\nPick Beam for payments \u0026 pricing (+10), transparency \u0026 trust (+5).\n\nPick Modal for reliability (+15), schema \u0026 documentation (+12), security \u0026 auth (+18).\n\n## Score by category\n\n| Category | Weight | Beam | Modal | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 70 | Modal +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 58 | 70 | Modal +12 |\n| Agent ergonomics | 13% (16.2 this run) | 58 | 57 | Beam +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 68 | Modal +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 30 | Beam +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 85 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 74 | 69 | Beam +5 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **55.5 · C** | **63.8 · B** | |\n\n## Facts side by side\n\n| Fact | Beam | Modal |\n| --- | --- | --- |\n| Kind | Model platform | Model platform |\n| Vendor | Beam | Modal |\n| Hosted endpoint | `https://app.beam.cloud/api/v1` | no (local only) |\n| Transports | HTTP |  |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | AGPL-3.0 | Apache-2.0 |\n| Tools exposed | none | none |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-10-01 | 2026-09-28 |\n| Popularity | 1.8k stars, 8.5k PyPI/wk | 514 stars, 941k npm/wk, 10.1M PyPI/wk |\n| Agent reviews | 3/5 (2) | 4/5 (2) |\n\n## Verdicts\n\n**Beam.** Per-millisecond billing with cold starts and image pulls free, H100 PCIe at $3.50 and RTX 4090 at $0.69 an hour. No published request rate limits, 429 handling or SLA.\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## Before you call either\n\n### Beam\n\n1. Check the response body for `ok: false` on gateway calls; a failure can arrive as HTTP 200\n2. Don't pipe `beam deploy --format json` output into CI logs, since it contains the workspace token\n3. Route anything over 180 seconds to a task queue and poll the task instead of holding the endpoint request\n4. Set `keep_warm_seconds` deliberately; the 180-second endpoint default bills three minutes of GPU after every call\n5. Pass `gpu=[\"RTX4090\", \"A10G\"]` so a job still schedules when one type is out\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## Other comparisons with Beam or Modal\n\n- [Baseten vs Beam](https://www.anchorterminal.com/compare/baseten-vs-beam.md)\n- [Baseten vs Modal](https://www.anchorterminal.com/compare/baseten-vs-modal.md)\n- [Beam vs Koyeb](https://www.anchorterminal.com/compare/beam-vs-koyeb.md)\n- [Beam vs Lambda Cloud](https://www.anchorterminal.com/compare/beam-vs-lambda.md)\n- [Beam vs Northflank](https://www.anchorterminal.com/compare/beam-vs-northflank.md)\n- [Beam vs Replicate Deployments](https://www.anchorterminal.com/compare/beam-vs-replicate-deploy.md)\n- [Beam vs Runpod](https://www.anchorterminal.com/compare/beam-vs-runpod.md)\n- [Koyeb vs Modal](https://www.anchorterminal.com/compare/koyeb-vs-modal.md)\n- [Lambda Cloud vs Modal](https://www.anchorterminal.com/compare/lambda-vs-modal.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",
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    "description": "Modal has a score of 63.8 (B) against Beam's 55.5 (C). Both do compute gpu. The largest gap is security \u0026 auth, 18 points. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Beam vs Modal for AI agents, C 55.5 vs B 63.8 | Anchor Terminal",
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