{ "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 Verda's 62.3 (B), and leads in 3 of 7 scored categories. Verda leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust.", "b": { "slug": "verda", "name": "Verda", "vendor": "Verda", "vendorUrl": "https://verda.com", "kind": "http-api", "category": "gpu-compute", "summary": "Verda, formerly DataCrunch, is a Finnish GPU cloud renting GPU and CPU instances, clusters, serverless containers and storage. Agents use its REST API, Python and Go SDKs, or a CLI with a built-in MCP server in beta.", "url": "https://www.anchorterminal.com/tools/verda", "markdownUrl": "https://www.anchorterminal.com/tools/verda.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/verda.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/verda.json", "repo": "https://github.com/verda-cloud/verda-cli", "license": "Proprietary service under Verda's Terms of Service. The CLI, the Python SDK and the Go SDK on GitHub are Apache-2.0", "transports": [ "http", "stdio" ], "remoteUrl": "https://api.verda.com/v1", "packages": [ { "registry": "pypi", "name": "verda" }, { "registry": "go", "name": "github.com/verda-cloud/verdacloud-sdk-go" } ], "auth": "oauth", "authNotes": "Self-serve. A signed-in user creates a Client ID and Client Secret on the console's Credentials page, and the secret is shown once. `POST /v1/oauth2/token` with the client credentials grant returns an access token valid for 3,600 seconds and a refresh token, both with the scope `cloud-api-v1`. Credentials belong to the member who created them and are deleted when that member leaves the project. The CLI and its MCP server read the same pair from `~/.verda/credentials` after `verda auth login`. A few catalogue endpoints such as `GET /v1/instance-types` need no token.", "pricing": "usage", "pricingNotes": "No free tier or trial. Accounts are prepaid by card or bank transfer, and Pay As You Go is charged in prepaid 10-minute increments with the unused part refunded. On-demand prices per GPU an hour on 8 October 2026 include H100 80 GB at $3.89, H200 at $5.07, B200 at $7.34 and A100 80 GB at $1.87, with spot at about half. Reserved terms take 2 to 25 per cent off. Serverless containers bill per minute of replica use. Free credits are granted only for approved blog posts or videos (https://verda.com/pricing).", "priceSummary": "Pay per use", "where": "both", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs corpus, the OpenAPI document or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": 18, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": 10461, "asOf": "2026-10-08" }, "docsUrl": "https://docs.verda.com", "llmsTxt": "https://docs.verda.com/llms.txt", "openapi": "https://api.verda.com/v1/openapi.json", "capabilities": [ "compute.gpu", "compute.serverless", "compute.endpoints", "compute.batch", "compute.containers" ], "tags": [ "hosted", "usage-priced", "openapi", "llms-txt", "mcp", "cli", "oauth", "python", "go", "terraform", "status-page", "soc2", "europe" ], "lastRelease": "2026-10-07", "graded": true, "anchor": { "graded": true, "score": 62.3, "grade": "B", "agentReady": false, "rank": 396, "ranked": true, "rankOf": 842, "categoryRank": 7, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 83, "payments": 20, "reliability": 67, "schema": 82, "security": 68, "transparency": 76 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -3, "negativeNotes": [ "2026-03-19, making `location_code` required on `POST /v1/instances`, `POST /v1/clusters` and `POST /v1/volumes`. Requests that had defaulted to FIN-01 began returning 400. The API changelog dates the change 19 March and the docs 23 March, and neither records advance notice. Documented, so 3 points (https://docs.verda.com/welcome-to-verda/release-notes/verda-api-changes/index.md)." ], "verdict": "The REST API has a public OpenAPI 3.1 document, a dated changelog, published rate limits with `Retry-After`, and an audit log endpoint. The CLI's MCP server refuses billed or destructive calls without `confirm: true`. Access needs a browser signup and a prepaid balance, credentials carry one scope, and instance creation has no idempotency key.", "bestFor": "Agents that rent whole GPU machines or clusters in Finland for training or batch work, or deploy scale-to-zero container endpoints, and that can run a local CLI for MCP.", "strengths": [ "OpenAPI 3.1 document with 112 operations and 156 schemas, plus `llms.txt` files on three hosts and the whole docs corpus as Markdown", "Rate limits of 500 requests a minute per project and 60 per endpoint, with `RateLimit` headers and `Retry-After` on 429", "API changelog with 11 dated entries between 11 September and 7 October 2026", "Audit log endpoint in CloudEvents 1.0 format covering 90 days, with the caller's IP address and origin on resource events", "The 18-tool MCP server refuses `create_vm`, `create_volume` and destructive `vm_action` calls unless `confirm: true` is passed" ], "weaknesses": [ "No free tier. Accounts are prepaid, and instances are discontinued and volumes deleted when the balance reaches zero", "Cloud API credentials carry one scope, `cloud-api-v1`, with no read-only credential found in the reviewed documentation", "`POST /v1/instances` has no idempotency key, so a retried launch can start a second billed instance", "The MCP server is marked beta and its tools carry no read-only or destructive annotations", "On 30 December 2025 a storage migration overwrote part of a shared filesystem in FIN-03, and Verda reported irreversible data loss for some customers", "No SLA was found, and the terms give no warranty of uninterrupted availability" ], "agentNotes": [ "Exchange the client ID and secret at `POST /v1/oauth2/token`, then send the access token as a Bearer header. It expires after 3,600 seconds, so refresh it.", "Send `location_code` on every create call. Requests without it have returned 400 since March 2026.", "Call `GET /v1/instance-availability` before launching. `POST /v1/instances` returns 503 `service_unavailable` when the location has no capacity.", "List instances before retrying a failed launch, because create has no idempotency key.", "Use the `delete` action to stop charges. `shutdown` keeps billing, and deleted volumes stay recoverable for 96 hours unless `delete_permanently` is set." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.3 } ], "editorialScores": { "ergonomics": 63, "maintenance": 83, "payments": 20, "reliability": 67, "schema": 82, "security": 68, "transparency": 57 }, "provenanceScore": 95 }, "connect": { "install": "brew install verda-cloud/tap/verda-cli", "http": "curl -X POST https://api.verda.com/v1/oauth2/token -H \"Content-Type: application/json\" -d '{\"grant_type\":\"client_credentials\",\"client_id\":\"\u003cYOUR_CLIENT_ID\u003e\",\"client_secret\":\"\u003cYOUR_CLIENT_SECRET\u003e\"}'", "config": { "mcpServers": { "verda": { "args": [ "mcp", "serve" ], "command": "verda" } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/verda" }, "area": "models", "unitPrices": [ { "item": "H100 SXM5 80 GB, on-demand", "unit": "gpu-hour", "usd": 3.89, "note": "Spot $1.95. Billed in prepaid 10-minute increments" }, { "item": "H200 SXM5 141 GB, on-demand", "unit": "gpu-hour", "usd": 5.07, "note": "Spot $2.54" }, { "item": "B200 SXM6 180 GB, on-demand", "unit": "gpu-hour", "usd": 7.34, "note": "Spot $3.67" }, { "item": "B300 SXM6 268 GB, on-demand", "unit": "gpu-hour", "usd": 9.24, "note": "Spot $4.62" }, { "item": "A100 SXM4 80 GB, on-demand", "unit": "gpu-hour", "usd": 1.87, "note": "Spot $0.935" }, { "item": "L40S 48 GB, on-demand", "unit": "gpu-hour", "usd": 1.61, "note": "Spot $0.803" }, { "item": "H100 SXM5 80 GB, serverless container", "unit": "gpu-hour", "usd": 4.28, "note": "Spot $2.14. Billed per minute of replica use" }, { "item": "NVMe block volume or shared filesystem", "unit": "gb-month", "usd": 0.2, "note": "Per GiB" } ], "provenance": { "legalEntity": "DataCrunch Oy", "domain": "verda.com", "domainRegistered": "1998-05-22", "endpointOnVendorDomain": true, "terms": "https://verda.com/terms-and-conditions", "privacy": "https://verda.com/privacy-policy", "statusPage": "https://status.verda.com", "changelog": "https://docs.verda.com/welcome-to-verda/release-notes/verda-api-changes/", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The Terms of Service, last updated 30 September 2025, name the supplier as Verda (DataCrunch Oy), apply Finnish law and set arbitration in Helsinki. They include the data processing terms.", "The CLI source carries the copyright of Verda Cloud Oy.", "The API answers at api.verda.com, a subdomain of the vendor domain.", "security.txt expires on 31 December 2026, lists security@verda.com and a policy at https://vdp.verda.com.", "RDAP for verda.com gives a registration date of 1998-05-22. The company took the Verda name later, and verda.com/llms.txt says it was previously known as DataCrunch.", "The privacy policy covers the website and the services and shows no readable date." ], "score": 95 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/verda.json", "live": { "slug": "verda", "probe": { "target": "https://api.verda.com/v1", "method": "get", "lastAt": "2026-10-09T10:43:00.847200542Z", "lastOk": true, "lastStatus": 401, "lastMs": 110, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 89, "p95ms24h": 177, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.verda.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:39.142949931Z" }, "updatedAt": "2026-10-09T10:43:00.847200542Z" } }, "facts": [ { "a": "Model platform", "b": "HTTP API", "name": "Kind" }, { "a": "Modal", "b": "Verda", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.verda.com/v1", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP, stdio", "name": "Transports" }, { "a": "API key", "b": "OAuth", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Proprietary service under Verda's Terms of Service. The CLI, the Python SDK and the Go SDK on GitHub are Apache-2.0", "name": "Licence" }, { "a": "none", "b": "18", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-28", "b": "2026-10-07", "name": "Last release" }, { "a": "2026-05-01", "b": "2025-09-30", "name": "Terms last updated" }, { "a": "2023-05-17", "b": "no date given", "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": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "514 stars, 941k npm/wk, 10.1M PyPI/wk", "b": "10k PyPI/wk", "name": "Popularity" }, { "a": "4/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Modal scores 63.6 (B) on agent readiness against Verda's 62.3 (B), and leads in 3 of 7 scored categories. Verda leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust.", "question": "Which is better for AI agents, Modal or Verda?" }, { "answer": "No hosted endpoint is listed for Modal. Verda has a hosted endpoint at https://api.verda.com/v1.", "question": "Can an agent call Modal and Verda without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 30 against 20" ], "also": [ "Free to start without a card", "No incidents deducted, where Verda loses 3 points for them" ], "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": [ "Schema \u0026 documentation, 82 against 70", "Agent ergonomics, 63 against 57", "Transparency \u0026 trust, 76 against 67" ], "also": [ "A hosted endpoint, with nothing to install", "Runs on your own machine" ], "goodFor": "Agents that rent whole GPU machines or clusters in Finland for training or batch work, or deploy scale-to-zero container endpoints, and that can run a local CLI for MCP.", "slug": "verda", "watchFor": "No free tier. Accounts are prepaid, and instances are discontinued and volumes deleted when the balance reaches zero" } ], "job": { "capability": "compute.gpu", "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-verda.json", "title": "Baseten vs Verda", "url": "https://www.anchorterminal.com/compare/baseten-vs-verda" }, { "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-verda.json", "title": "Beam vs Verda", "url": "https://www.anchorterminal.com/compare/beam-vs-verda" }, { "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-verda.json", "title": "Cerebrium vs Verda", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-verda" }, { "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-verda.json", "title": "CoreWeave vs Verda", "url": "https://www.anchorterminal.com/compare/coreweave-vs-verda" }, { "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-verda.json", "title": "Hugging Face Inference Endpoints vs Verda", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda" }, { "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-verda.json", "title": "Hyperbolic vs Verda", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-verda" }, { "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-verda.json", "title": "Koyeb vs Verda", "url": "https://www.anchorterminal.com/compare/koyeb-vs-verda" }, { "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-verda.json", "title": "Lambda Cloud vs Verda", "url": "https://www.anchorterminal.com/compare/lambda-vs-verda" }, { "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-thunder-compute.json", "title": "Modal vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/modal-vs-thunder-compute" }, { "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/nebius-ai-cloud-vs-verda.json", "title": "Nebius AI Cloud vs Verda", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/northflank-vs-verda.json", "title": "Northflank vs Verda", "url": "https://www.anchorterminal.com/compare/northflank-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-verda.json", "title": "Replicate Deployments vs Verda", "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/runpod-vs-verda.json", "title": "Runpod vs Verda", "url": "https://www.anchorterminal.com/compare/runpod-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda.json", "title": "Thunder Compute vs Verda", "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/vast-ai-vs-verda.json", "title": "Vast.ai vs Verda", "url": "https://www.anchorterminal.com/compare/vast-ai-vs-verda" } ], "scores": [ { "by": 3, "edge": "modal", "key": "reliability", "modal": 70, "name": "Reliability", "verda": 67, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 12, "edge": "verda", "key": "schema", "modal": 70, "name": "Schema \u0026 documentation", "verda": 82, "weight": 13 }, { "by": 6, "edge": "verda", "key": "ergonomics", "modal": 57, "name": "Agent ergonomics", "verda": 63, "weight": 13 }, { "by": 0, "edge": "", "key": "security", "modal": 68, "name": "Security \u0026 auth", "verda": 68, "weight": 14 }, { "by": 10, "edge": "modal", "key": "payments", "modal": 30, "name": "Payments \u0026 pricing", "verda": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "modal", "key": "maintenance", "modal": 85, "name": "Maintenance \u0026 community", "verda": 83, "weight": 7 }, { "by": 9, "edge": "verda", "key": "transparency", "modal": 67, "name": "Transparency \u0026 trust", "verda": 76, "weight": 7 } ], "summary": "Modal scores 63.6 (B) on agent readiness against Verda's 62.3 (B), and leads in 3 of 7 scored categories. Verda leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust. 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.", "verda": "The REST API has a public OpenAPI 3.1 document, a dated changelog, published rate limits with `Retry-After`, and an audit log endpoint. The CLI's MCP server refuses billed or destructive calls without `confirm: true`. Access needs a browser signup and a prepaid balance, credentials carry one scope, and instance creation has no idempotency key." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/modal-vs-verda", "json": "https://www.anchorterminal.com/compare/modal-vs-verda.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/modal-vs-verda.md", "slim": "https://www.anchorterminal.com/compare/modal-vs-verda.min.md" }, "markdown": "Modal scores 63.6 (B) on agent readiness against Verda's 62.3 (B), and leads in 3 of 7 scored categories. Verda leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust. 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- Verda: grade B, 62.3/100, rank #396 of 842. Markdown https://www.anchorterminal.com/tools/verda.md · JSON https://www.anchorterminal.com/api/v1/tools/verda.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- Payments \u0026 pricing, 30 against 20\n\nAlso in its favour:\n- Free to start without a card\n- No incidents deducted, where Verda loses 3 points for them\n\nWatch for: No REST API or OpenAPI spec for deploying or invoking Functions\n\n### Verda (B)\n\nGood for: Agents that rent whole GPU machines or clusters in Finland for training or batch work, or deploy scale-to-zero container endpoints, and that can run a local CLI for MCP.\n\nAhead on:\n- Schema \u0026 documentation, 82 against 70\n- Agent ergonomics, 63 against 57\n- Transparency \u0026 trust, 76 against 67\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Runs on your own machine\n\nWatch for: No free tier. Accounts are prepaid, and instances are discontinued and volumes deleted when the balance reaches zero\n\n\n## Score by category\n\n| Category | Weight | Modal | Verda | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 67 | Modal +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 82 | Verda +12 |\n| Agent ergonomics | 13% (16.2 this run) | 57 | 63 | Verda +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 68 | 68 | even |\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 | 83 | Modal +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 76 | Verda +9 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **63.6 · B** | **62.3 · B** | |\n\n## Facts side by side\n\n| Fact | Modal | Verda |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Modal | Verda |\n| Hosted endpoint | no (local only) | `https://api.verda.com/v1` |\n| Transports | | HTTP, stdio |\n| Auth | API key | OAuth |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 | Proprietary service under Verda's Terms of Service. The CLI, the Python SDK and the Go SDK on GitHub are Apache-2.0 |\n| Tools exposed | none | 18 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-28 | 2026-10-07 |\n| Terms last updated | 2026-05-01 | 2025-09-30 |\n| Privacy policy last updated | 2023-05-17 | no date given |\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 | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 514 stars, 941k npm/wk, 10.1M PyPI/wk | 10k PyPI/wk |\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**Verda.** The REST API has a public OpenAPI 3.1 document, a dated changelog, published rate limits with `Retry-After`, and an audit log endpoint. The CLI's MCP server refuses billed or destructive calls without `confirm: true`. Access needs a browser signup and a prepaid balance, credentials carry one scope, and instance creation has no idempotency key.\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### Verda\n\n1. Exchange the client ID and secret at `POST /v1/oauth2/token`, then send the access token as a Bearer header. It expires after 3,600 seconds, so refresh it.\n2. Send `location_code` on every create call. Requests without it have returned 400 since March 2026.\n3. Call `GET /v1/instance-availability` before launching. `POST /v1/instances` returns 503 `service_unavailable` when the location has no capacity.\n4. List instances before retrying a failed launch, because create has no idempotency key.\n5. Use the `delete` action to stop charges. `shutdown` keeps billing, and deleted volumes stay recoverable for 96 hours unless `delete_permanently` is set.\n\n## Questions\n\n### Which is better for AI agents, Modal or Verda?\n\nModal scores 63.6 (B) on agent readiness against Verda's 62.3 (B), and leads in 3 of 7 scored categories. Verda leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust.\n\n### Can an agent call Modal and Verda without installing anything?\n\nNo hosted endpoint is listed for Modal. Verda has a hosted endpoint at https://api.verda.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/modal-vs-verda.json, and with the fewest tokens: https://www.anchorterminal.com/compare/modal-vs-verda.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"modal\", \"b\": \"verda\"}`. From a terminal: `anchor compare modal verda`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/modal.json and https://www.anchorterminal.com/api/v1/tools/verda.json\n\n## Other comparisons with Modal or Verda\n\n- [Baseten vs Modal](https://www.anchorterminal.com/compare/baseten-vs-modal.md)\n- [Baseten vs Verda](https://www.anchorterminal.com/compare/baseten-vs-verda.md)\n- [Beam vs Modal](https://www.anchorterminal.com/compare/beam-vs-modal.md)\n- [Beam vs Verda](https://www.anchorterminal.com/compare/beam-vs-verda.md)\n- [Cerebrium vs Modal](https://www.anchorterminal.com/compare/cerebrium-vs-modal.md)\n- [Cerebrium vs Verda](https://www.anchorterminal.com/compare/cerebrium-vs-verda.md)\n- [CoreWeave vs Modal](https://www.anchorterminal.com/compare/coreweave-vs-modal.md)\n- [CoreWeave vs Verda](https://www.anchorterminal.com/compare/coreweave-vs-verda.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 Verda](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda.md)\n- [Hyperbolic vs Modal](https://www.anchorterminal.com/compare/hyperbolic-vs-modal.md)\n- [Hyperbolic vs Verda](https://www.anchorterminal.com/compare/hyperbolic-vs-verda.md)\n- [Koyeb vs Modal](https://www.anchorterminal.com/compare/koyeb-vs-modal.md)\n- [Koyeb vs Verda](https://www.anchorterminal.com/compare/koyeb-vs-verda.md)\n- [Lambda Cloud vs Modal](https://www.anchorterminal.com/compare/lambda-vs-modal.md)\n- [Lambda Cloud vs Verda](https://www.anchorterminal.com/compare/lambda-vs-verda.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 Thunder Compute](https://www.anchorterminal.com/compare/modal-vs-thunder-compute.md)\n- [Modal vs Vast.ai](https://www.anchorterminal.com/compare/modal-vs-vast-ai.md)\n- [Nebius AI Cloud vs Verda](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda.md)\n- [Northflank vs Verda](https://www.anchorterminal.com/compare/northflank-vs-verda.md)\n- [Replicate Deployments vs Verda](https://www.anchorterminal.com/compare/replicate-deploy-vs-verda.md)\n- [Runpod vs Verda](https://www.anchorterminal.com/compare/runpod-vs-verda.md)\n- [Thunder Compute vs Verda](https://www.anchorterminal.com/compare/thunder-compute-vs-verda.md)\n- [Vast.ai vs Verda](https://www.anchorterminal.com/compare/vast-ai-vs-verda.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Modal vs Verda", "url": "" } ], "description": "Modal scores 63.6 (B) on agent readiness against Verda's 62.3 (B), and leads in 3 of 7 scored categories. Verda leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Modal B 63.6", "Verda B 62.3", "scores" ], "h1": "Modal vs Verda", "image": "https://www.anchorterminal.com/assets/og/compare-modal-vs-verda.png", "path": "/compare/modal-vs-verda", "published": "2026-10-01", "section": "tools", "title": "Modal vs Verda for AI agents, B 63.6 vs B 62.3 | Anchor Terminal", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/modal-vs-verda" }, "tokens": { "markdown": 2350, "slim": 680 }, "version": 1 }