{
  "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": 588,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 11,
        "methodology": "0.4",
        "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.",
        "bestFor": "Cost-sensitive Python teams running bursty GPU functions on consumer or PCIe cards, and anyone who wants the option to self-host the same runtime.",
        "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": "0.4",
            "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": "2026-10-09T10:42:37.566337231Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 267,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 259,
          "p95ms24h": 295,
          "samples24h": 260,
          "samples30d": 1841,
          "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": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 114,
              "ok": 114
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.beam.cloud",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-09T10:41:26.148646253Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "beam-cloud/beta9",
            "version": "worker-0.1.784",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T16:02:16.626392221Z"
          },
          {
            "registry": "pypi",
            "name": "beam-client",
            "version": "0.2.217",
            "released": "2026-10-02",
            "seenAt": "2026-10-08T16:02:12.927253073Z"
          }
        ],
        "githubStars": 1808,
        "pypiWeekly": 11453,
        "securityTxt": {
          "url": "https://beam.cloud/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:32.528161877Z"
        },
        "llmsTxt": {
          "url": "https://docs.beam.cloud/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:06.68929769Z"
        },
        "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": "2026-10-08T18:18:17.165216387Z",
            "changedAt": "2026-10-04T15:43:14.08690057Z",
            "fingerprint": "9430ae529da0"
          },
          {
            "url": "https://www.beam.cloud/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-08T18:26:31.580865394Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "dedbd2b07b0a"
          },
          {
            "url": "https://docs.beam.cloud/v2/security/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:18:19.273074934Z",
            "changedAt": "2026-10-04T15:43:16.313382922Z",
            "fingerprint": "4072b33654b6"
          },
          {
            "url": "https://docs.beam.cloud/v2/security/terms-and-conditions",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:18:21.299976682Z",
            "changedAt": "2026-10-04T15:43:18.294864193Z",
            "fingerprint": "988292e328cf"
          }
        ],
        "updatedAt": "2026-10-09T10:42:37.566337231Z"
      }
    },
    "answer": "Thunder Compute and Beam score within a point of each other on agent readiness, 56.1 (C) and 55.5 (C). Beam leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.",
    "b": {
      "slug": "thunder-compute",
      "name": "Thunder Compute",
      "vendor": "Thunder Compute",
      "vendorUrl": "https://www.thundercompute.com",
      "kind": "http-api",
      "category": "gpu-compute",
      "summary": "Thunder Compute is a US GPU cloud renting RTX A6000, L40, A100 and H100 instances by the minute and GPU sandboxes by the second. Agents use its REST API, a hosted MCP server with OAuth, or the `tnr` CLI.",
      "url": "https://www.anchorterminal.com/tools/thunder-compute",
      "markdownUrl": "https://www.anchorterminal.com/tools/thunder-compute.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/thunder-compute.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/thunder-compute.json",
      "repo": "https://github.com/Thunder-Compute/thunder-cli",
      "license": "Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.thundercompute.com:8443/v1",
      "packages": [
        {
          "registry": "go",
          "name": "github.com/Thunder-Compute/thunder-cli"
        },
        {
          "registry": "pypi",
          "name": "thunder-sandbox"
        }
      ],
      "auth": "mixed",
      "authNotes": "Self-serve. The hosted MCP server uses OAuth 2.0 with discovery. The first connection opens a browser to sign in and approve, tokens refresh, and the scopes are `instances:read`, `instances:write`, `snapshots:read`, `snapshots:write`, `sandboxes:read`, `sandboxes:write`, `billing:read` and `org:read`. The REST API takes a named API token as a Bearer header. Tokens are created and revoked one at a time in the console, or with the MCP `create_token` tool, and no token scopes were found. The CLI and the sandbox SDK read `TNR_API_TOKEN` for headless use. Price, specification, availability and template endpoints need no token.",
      "pricing": "usage",
      "pricingNotes": "No general free tier. Instances are billed by the minute while they run, paid by saved card or preloaded credit that is non-refundable. Per GPU an hour on 9 October 2026, RTX A6000 is $0.35, L40 $0.79, A100 80 GB $1.09 and H100 $3.20. Sandboxes are billed by the second and need access enabled by the vendor. Students with a US university email get $20 of credit for A6000 and L40 GPUs. Reserved capacity is by quote (https://www.thundercompute.com/pricing).",
      "priceSummary": "$0.04 / vCPU-hr",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs corpus, the OpenAPI document or the pricing page (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": 28,
      "popularity": {
        "githubStars": 34,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://www.thundercompute.com/docs",
      "llmsTxt": "https://www.thundercompute.com/docs/llms.txt",
      "openapi": "https://api.thundercompute.com:8443/openapi.json",
      "registryName": "io.github.Thunder-Compute/thunder-compute",
      "capabilities": [
        "compute.gpu",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "openapi",
        "llms-txt",
        "mcp",
        "cli",
        "oauth",
        "api-key",
        "python",
        "go",
        "status-page",
        "card-required",
        "closed-source"
      ],
      "lastRelease": "2026-09-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 56.1,
        "grade": "C",
        "agentReady": false,
        "rank": 576,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 48,
          "maintenance": 79,
          "payments": 20,
          "reliability": 65,
          "schema": 70,
          "security": 51,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": 0,
        "verdict": "The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted.",
        "bestFor": "Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.",
        "strengths": [
          "Hosted MCP server at `https://www.thundercompute.com/mcp` with OAuth and ten scopes that separate read from write for instances, snapshots and sandboxes",
          "Public OpenAPI 3.1 document with 41 operations, plus `llms.txt`, `llms-full.txt` and a Markdown copy of every docs page",
          "`GET /v2/pricing`, `GET /v2/specs` and `GET /v2/status` return prices, configurations and live availability without a token",
          "Section 28 of the terms, dated 28 September 2026, permits access by AI agents, scripts and SDKs through the account holder's own credentials",
          "The status page lists no incidents for July to October 2026 on its Website, API and Instances components"
        ],
        "weaknesses": [
          "No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability",
          "`POST /instances/create` has no idempotency key, so a retried launch can start a second billed instance",
          "Instances cannot be stopped. Pausing means taking a snapshot, deleting the instance and restoring later",
          "No general free tier. The $20 credit is limited to students with a US university email",
          "No security.txt or disclosure policy was found, and the SOC 2 Type II claim in `llms.txt` has no report or trust page linked",
          "The sub-processor list, last updated 27 August 2025, names Firebase for sign-in while the MCP docs name Stytch"
        ],
        "agentNotes": [
          "Call `GET /v2/status` or the `get_availability` tool before creating an instance. Availability can change before launch, and creation fails when a type is sold out.",
          "List instances before retrying a failed create, because the call has no idempotency key.",
          "Pass `public_key` on create. If omitted, the response carries a generated private key that is returned once.",
          "To pause work, create a snapshot, delete the instance and later create a new instance from the snapshot. Snapshot storage keeps billing until deleted.",
          "For headless use set `TNR_API_TOKEN` to a token from the console. The MCP server needs a browser sign-in on first connection."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.1
          }
        ],
        "editorialScores": {
          "ergonomics": 48,
          "maintenance": 79,
          "payments": 20,
          "reliability": 65,
          "schema": 70,
          "security": 51,
          "transparency": 51
        },
        "provenanceScore": 77
      },
      "connect": {
        "install": "curl -fsSL https://raw.githubusercontent.com/Thunder-Compute/thunder-cli/main/scripts/install.sh | bash",
        "http": "curl https://api.thundercompute.com:8443/v2/pricing",
        "claudeCode": "claude mcp add --transport http thunder-compute https://www.thundercompute.com/mcp",
        "config": {
          "mcpServers": {
            "thunder-compute": {
              "url": "https://www.thundercompute.com/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/thunder-compute"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "RTX A6000 48 GB instance",
          "unit": "gpu-hour",
          "usd": 0.35,
          "note": "Billed per minute. One GPU per instance"
        },
        {
          "item": "L40 48 GB instance",
          "unit": "gpu-hour",
          "usd": 0.79,
          "note": "Billed per minute"
        },
        {
          "item": "A100 80 GB instance",
          "unit": "gpu-hour",
          "usd": 1.09,
          "note": "Billed per minute. 4 and 8 GPU shapes cost $1.49 a GPU per the price endpoint"
        },
        {
          "item": "H100 80 GB instance",
          "unit": "gpu-hour",
          "usd": 3.2,
          "note": "Billed per minute"
        },
        {
          "item": "H100 80 GB sandbox",
          "unit": "gpu-hour",
          "usd": 2.95,
          "note": "Billed per second, plus vCPU and memory. Access on request"
        },
        {
          "item": "A100 80 GB sandbox",
          "unit": "gpu-hour",
          "usd": 1.95,
          "note": "Billed per second, plus vCPU and memory. Access on request"
        },
        {
          "item": "Extra instance vCPU",
          "unit": "vcpu-hour",
          "usd": 0.04,
          "note": "Above the vCPUs included with each GPU"
        },
        {
          "item": "Sandbox vCPU",
          "unit": "vcpu-hour",
          "usd": 0.051,
          "note": "Memory is $0.016 per GiB an hour"
        },
        {
          "item": "Instance disk above 100 GB per GPU",
          "unit": "gb-month",
          "usd": 0.219,
          "note": "Billed only while the instance runs"
        },
        {
          "item": "Snapshot storage",
          "unit": "gb-month",
          "usd": 0.05,
          "note": "Kept until deleted"
        }
      ],
      "provenance": {
        "legalEntity": "Thunder GPU, Inc.",
        "domain": "thundercompute.com",
        "domainRegistered": "2024-02-29",
        "endpointOnVendorDomain": true,
        "terms": "https://www.thundercompute.com/terms-and-conditions",
        "privacy": "https://www.thundercompute.com/privacy-policy",
        "statusPage": "https://status.thundercompute.com",
        "changelog": "https://github.com/Thunder-Compute/thunder-cli/blob/main/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "The Terms and Conditions, last updated 28 September 2026, name Thunder GPU, Inc., doing business as Thunder Compute, a Delaware company, and apply Delaware law. They cover the site and the services, with sections on automated access, usage billing and instance data deletion.",
          "The privacy policy, last updated 28 September 2026, covers the website and the GPU platform, including access by AI agents.",
          "The API answers at api.thundercompute.com on port 8443, and the MCP server at www.thundercompute.com/mcp, both on the vendor domain.",
          "/.well-known/security.txt answers 404.",
          "RDAP for thundercompute.com gives a registration date of 2024-02-29.",
          "The changelog linked is the CLI's. No API changelog was found.",
          "A Data Processing Addendum is published in the docs and a sub-processor list on the site, last updated 27 August 2025."
        ],
        "score": 77
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/thunder-compute.json",
      "live": {
        "slug": "thunder-compute",
        "probe": {
          "target": "https://api.thundercompute.com:8443/v1",
          "method": "get",
          "lastAt": "2026-10-09T10:42:58.723724397Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 258,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 618,
          "p95ms24h": 745,
          "samples24h": 33,
          "samples30d": 33,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 33,
              "ok": 33
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.thundercompute.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-09T10:42:06.359810687Z"
        },
        "updatedAt": "2026-10-09T10:42:58.723724397Z"
      }
    },
    "facts": [
      {
        "a": "Model platform",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Beam",
        "b": "Thunder Compute",
        "name": "Vendor"
      },
      {
        "a": "https://app.beam.cloud/api/v1",
        "b": "https://api.thundercompute.com:8443/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "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": "AGPL-3.0",
        "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": "2026-10-01",
        "b": "2026-09-16",
        "name": "Last release"
      },
      {
        "a": "2026-09-14",
        "b": "2026-09-28",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-14",
        "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": "yes",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "1.8k stars, 8.5k PyPI/wk",
        "b": "34 stars",
        "name": "Popularity"
      },
      {
        "a": "3/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Thunder Compute and Beam score within a point of each other on agent readiness, 56.1 (C) and 55.5 (C). Beam leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Beam or Thunder Compute?"
      },
      {
        "answer": "Yes. Beam has a hosted endpoint at https://app.beam.cloud/api/v1 and Thunder Compute at https://api.thundercompute.com:8443/v1.",
        "question": "Can an agent call Beam and Thunder Compute without installing anything?"
      },
      {
        "answer": "Beam is open source (AGPL-3.0). No open-source release is listed for Thunder Compute.",
        "question": "Are Beam and Thunder Compute open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Agent ergonomics, 58 against 48",
          "Payments \u0026 pricing, 40 against 20",
          "Maintenance \u0026 community, 85 against 79",
          "Transparency \u0026 trust, 74 against 64"
        ],
        "also": [
          "Open source"
        ],
        "goodFor": "Cost-sensitive Python teams running bursty GPU functions on consumer or PCIe cards, and anyone who wants the option to self-host the same runtime.",
        "slug": "beam",
        "watchFor": "No published request rate limits, 429 handling or SLA"
      },
      {
        "aheadOn": [
          "Reliability, 65 against 55",
          "Schema \u0026 documentation, 70 against 58"
        ],
        "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-beam.json",
        "title": "Baseten vs Beam",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-beam"
      },
      {
        "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-cerebrium.json",
        "title": "Beam vs Cerebrium",
        "url": "https://www.anchorterminal.com/compare/beam-vs-cerebrium"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-coreweave.json",
        "title": "Beam vs CoreWeave",
        "url": "https://www.anchorterminal.com/compare/beam-vs-coreweave"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.json",
        "title": "Beam vs Hugging Face Inference Endpoints",
        "url": "https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic.json",
        "title": "Beam vs Hyperbolic",
        "url": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-koyeb.json",
        "title": "Beam vs Koyeb",
        "url": "https://www.anchorterminal.com/compare/beam-vs-koyeb"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-lambda.json",
        "title": "Beam vs Lambda Cloud",
        "url": "https://www.anchorterminal.com/compare/beam-vs-lambda"
      },
      {
        "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-nebius-ai-cloud.json",
        "title": "Beam vs Nebius AI Cloud",
        "url": "https://www.anchorterminal.com/compare/beam-vs-nebius-ai-cloud"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-northflank.json",
        "title": "Beam vs Northflank",
        "url": "https://www.anchorterminal.com/compare/beam-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-replicate-deploy.json",
        "title": "Beam vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/beam-vs-replicate-deploy"
      },
      {
        "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-vast-ai.json",
        "title": "Beam vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/beam-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-verda.json",
        "title": "Beam vs Verda",
        "url": "https://www.anchorterminal.com/compare/beam-vs-verda"
      },
      {
        "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-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-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-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-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-thunder-compute.json",
        "title": "Lambda Cloud vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-thunder-compute.json",
        "title": "Modal vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/modal-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.json",
        "title": "Nebius AI Cloud vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.json",
        "title": "Northflank vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/northflank-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.json",
        "title": "Replicate Deployments vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.json",
        "title": "Runpod vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai.json",
        "title": "Thunder Compute vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda.json",
        "title": "Thunder Compute vs Verda",
        "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda"
      }
    ],
    "scores": [
      {
        "beam": 55,
        "by": 10,
        "edge": "thunder-compute",
        "key": "reliability",
        "name": "Reliability",
        "thunder-compute": 65,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "beam": 58,
        "by": 12,
        "edge": "thunder-compute",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "thunder-compute": 70,
        "weight": 13
      },
      {
        "beam": 58,
        "by": 10,
        "edge": "beam",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "thunder-compute": 48,
        "weight": 13
      },
      {
        "beam": 50,
        "by": 1,
        "edge": "thunder-compute",
        "key": "security",
        "name": "Security \u0026 auth",
        "thunder-compute": 51,
        "weight": 14
      },
      {
        "beam": 40,
        "by": 20,
        "edge": "beam",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "thunder-compute": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "beam": 85,
        "by": 6,
        "edge": "beam",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "thunder-compute": 79,
        "weight": 7
      },
      {
        "beam": 74,
        "by": 10,
        "edge": "beam",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "thunder-compute": 64,
        "weight": 7
      }
    ],
    "summary": "Thunder Compute and Beam score within a point of each other on agent readiness, 56.1 (C) and 55.5 (C). Beam leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust. Both do compute gpu.",
    "verdicts": {
      "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.",
      "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/beam-vs-thunder-compute",
    "json": "https://www.anchorterminal.com/compare/beam-vs-thunder-compute.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/beam-vs-thunder-compute.md",
    "slim": "https://www.anchorterminal.com/compare/beam-vs-thunder-compute.min.md"
  },
  "markdown": "Thunder Compute and Beam score within a point of each other on agent readiness, 56.1 (C) and 55.5 (C). Beam leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust. Both do compute gpu.\n\n- Beam: grade C, 55.5/100, rank #588 of 842. Markdown https://www.anchorterminal.com/tools/beam.md · JSON https://www.anchorterminal.com/api/v1/tools/beam.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### Beam (C)\n\nGood for: Cost-sensitive Python teams running bursty GPU functions on consumer or PCIe cards, and anyone who wants the option to self-host the same runtime.\n\nAhead on:\n- Agent ergonomics, 58 against 48\n- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 85 against 79\n- Transparency \u0026 trust, 74 against 64\n\nAlso in its favour:\n- Open source\n\nWatch for: No published request rate limits, 429 handling or SLA\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 55\n- Schema \u0026 documentation, 70 against 58\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 | Beam | Thunder Compute | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 65 | Thunder Compute +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 58 | 70 | Thunder Compute +12 |\n| Agent ergonomics | 13% (16.2 this run) | 58 | 48 | Beam +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 51 | Thunder Compute +1 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 20 | Beam +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 79 | Beam +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 74 | 64 | Beam +10 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **55.5 · C** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | Beam | Thunder Compute |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Beam | Thunder Compute |\n| Hosted endpoint | `https://app.beam.cloud/api/v1` | `https://api.thundercompute.com:8443/v1` |\n| Transports | HTTP | 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 | AGPL-3.0 | 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 | 2026-10-01 | 2026-09-16 |\n| Terms last updated | 2026-09-14 | 2026-09-28 |\n| Privacy policy last updated | 2026-09-14 | 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 | yes | yes |\n| Popularity | 1.8k stars, 8.5k PyPI/wk | 34 stars |\n| Agent reviews | 3/5 (2) | none |\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**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### 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### 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, Beam or Thunder Compute?\n\nThunder Compute and Beam score within a point of each other on agent readiness, 56.1 (C) and 55.5 (C). Beam leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.\n\n### Can an agent call Beam and Thunder Compute without installing anything?\n\nYes. Beam has a hosted endpoint at https://app.beam.cloud/api/v1 and Thunder Compute at https://api.thundercompute.com:8443/v1.\n\n### Are Beam and Thunder Compute open source?\n\nBeam is open source (AGPL-3.0). No open-source release is listed for Thunder Compute.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/beam-vs-thunder-compute.json, and with the fewest tokens: https://www.anchorterminal.com/compare/beam-vs-thunder-compute.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"beam\", \"b\": \"thunder-compute\"}`. From a terminal: `anchor compare beam thunder-compute`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/beam.json and https://www.anchorterminal.com/api/v1/tools/thunder-compute.json\n\n## Other comparisons with Beam or Thunder Compute\n\n- [Baseten vs Beam](https://www.anchorterminal.com/compare/baseten-vs-beam.md)\n- [Baseten vs Thunder Compute](https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.md)\n- [Beam vs Cerebrium](https://www.anchorterminal.com/compare/beam-vs-cerebrium.md)\n- [Beam vs CoreWeave](https://www.anchorterminal.com/compare/beam-vs-coreweave.md)\n- [Beam vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.md)\n- [Beam vs Hyperbolic](https://www.anchorterminal.com/compare/beam-vs-hyperbolic.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 Modal](https://www.anchorterminal.com/compare/beam-vs-modal.md)\n- [Beam vs Nebius AI Cloud](https://www.anchorterminal.com/compare/beam-vs-nebius-ai-cloud.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- [Beam vs Vast.ai](https://www.anchorterminal.com/compare/beam-vs-vast-ai.md)\n- [Beam vs Verda](https://www.anchorterminal.com/compare/beam-vs-verda.md)\n- [Cerebrium vs Thunder Compute](https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md)\n- [CoreWeave vs Thunder Compute](https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.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 Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Koyeb vs Thunder Compute](https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.md)\n- [Lambda Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.md)\n- [Modal vs Thunder Compute](https://www.anchorterminal.com/compare/modal-vs-thunder-compute.md)\n- [Nebius AI Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.md)\n- [Northflank vs Thunder Compute](https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.md)\n- [Replicate Deployments vs Thunder Compute](https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.md)\n- [Runpod vs Thunder Compute](https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.md)\n- [Thunder Compute vs Vast.ai](https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai.md)\n- [Thunder Compute vs Verda](https://www.anchorterminal.com/compare/thunder-compute-vs-verda.md)\n",
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    "description": "Thunder Compute and Beam score within a point of each other on agent readiness, 56.1 (C) and 55.5 (C). Beam leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust. Both do compute gpu. Category scores, facts, verdicts and agent notes side…",
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