{ "data": { "a": { "slug": "alibaba-wan", "name": "Alibaba Wan (Model Studio)", "vendor": "Alibaba Cloud", "vendorUrl": "https://www.alibabacloud.com", "kind": "model", "category": "video-generation", "summary": "Alibaba's Wan video models on Alibaba Cloud Model Studio (DashScope).", "url": "https://www.anchorterminal.com/tools/alibaba-wan", "markdownUrl": "https://www.anchorterminal.com/tools/alibaba-wan.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/alibaba-wan.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/alibaba-wan.json", "dns": "alibaba-wan.grade.anchorterminal.com", "repo": "https://github.com/Wan-Video/Wan2.2", "license": "Apache-2.0 (Wan 2.1 and 2.2 weights)", "transports": [ "http" ], "remoteUrl": "https://dashscope-intl.aliyuncs.com/api/v1", "packages": [ { "registry": "pypi", "name": "dashscope" } ], "auth": "api-key", "authNotes": "Bearer DashScope API key from the Model Studio console, plus `X-DashScope-Async: enable` for video jobs. Keys and hosts are per region, and Wan 3.0 docs use a per-workspace host ({WorkspaceId}.ap-southeast-1.maas.aliyuncs.com).", "pricing": "freemium", "pricingNotes": "Singapore (International) prices per second of output. wan3.0-video lists $0.05 at 480P, $0.10 at 720P, $0.20 at 1080P, currently marked limited-time 30% off. wan3.0-video-prime $0.068, $0.14 and $0.28. wan2.7 and wan2.6 text-to-video $0.10 at 720P, $0.15 at 1080P. Failed requests aren't billed. Free quota only in Singapore, 30 seconds for Wan 3.0 and 50 seconds for each Wan 2.x model, valid 90 days. Beijing prices are lower, for example wan3.0-video at $0.165025 a second at 1080P list (https://www.alibabacloud.com/help/en/model-studio/model-pricing).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402. Needs an Alibaba Cloud account with billing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 17677, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://www.alibabacloud.com/help/en/model-studio/video-generation", "rateLimitsUrl": "https://www.alibabacloud.com/help/en/model-studio/rate-limit", "llmsTxt": "https://docs.modelstudio.console.alibabacloud.com/llms.txt", "capabilities": [ "video.generate", "video.image-to-video", "video.edit", "video.audio" ], "tags": [ "official", "hosted", "freemium", "open-weights", "llms-txt", "async-jobs", "python", "enterprise" ], "lastRelease": "2026-10-30", "graded": true, "anchor": { "graded": true, "score": 65.2, "grade": "B", "agentReady": false, "rank": 429, "ranked": true, "rankOf": 1510, "categoryRank": 3, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 77, "payments": 20, "reliability": 70, "schema": 67, "security": 80, "transparency": 78 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-02" }, "negative": 0, "verdict": "Wan 3.0 clips run 2 to 30 seconds at up to 1080p with audio on by default, at published per-second prices, and failed requests aren't billed. Every job is polled, since no callback is documented, and result URLs and task ids expire after 24 hours.", "bestFor": "Best when one call has to turn mixed references (images, clips, audio, a document) into a long clip with sound, or when you want the option to self-host older Wan weights.", "strengths": [ "Wan 3.0 clips run 2 to 30 seconds at up to 1080p with audio on by default", "Keys can be limited to 30 models and an IP allow-list, and temporary keys last at most 30 minutes", "Published decommissioning policy, at least 3 months for stable models (dated versions included) and 14 days for previews", "Per-call audit logs on by default, and failed calls aren't billed", "Wan 2.1 and 2.2 weights are Apache 2.0" ], "weaknesses": [ "Result URLs and task ids expire after 24 hours", "No webhook or callback, so every job is polled", "No OpenAPI document for the video endpoints", "Keys, hosts and prices are per region, and Wan 3.0 uses a per-workspace host", "Sign-up asks for payment details before the free quota" ], "agentNotes": [ "Send `X-DashScope-Async: enable` on the create call or it fails, then poll GET /api/v1/tasks/{task_id} about every 15 seconds", "Copy the video out within 24 hours. The URL and the task id both expire", "Use the host from your workspace and region. A Singapore key won't work on a Beijing host", "Don't resubmit a slow job. Poll it. Failed jobs aren't billed, so resubmit only after FAILED", "Set `audio` false if you don't want sound. It's on by default for Wan 3.0" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 65.2 } ], "editorialScores": { "ergonomics": 63, "maintenance": 77, "payments": 20, "reliability": 70, "schema": 67, "security": 80, "transparency": 70 }, "provenanceScore": 85, "checked": { "categories": { "ergonomics": "2026-11-02", "maintenance": "2026-11-02", "payments": "2026-11-02", "reliability": "2026-11-02", "schema": "2026-11-02", "security": "2026-11-02", "transparency": "2026-11-02" }, "last": "2026-11-02", "lastMoved": "2026-10-28", "oldest": "2026-11-02", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install dashscope", "http": "curl -X POST \"https://$WORKSPACE_ID.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis\" \\\n -H \"X-DashScope-Async: enable\" -H \"Authorization: Bearer $DASHSCOPE_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"wan3.0-video\",\"input\":{\"prompt\":\"a paper boat drifting down a rainy street\"},\"parameters\":{\"resolution\":\"480P\",\"ratio\":\"adaptive\",\"duration\":5}}'" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/alibaba-wan" }, "sameCompany": [ "qwen-image-2-1" ], "area": "content", "unitPrices": [ { "item": "wan3.0-video 480P", "unit": "video-second", "usd": 0.05, "note": "list price, Singapore, currently 30% off" }, { "item": "wan3.0-video 720P", "unit": "video-second", "usd": 0.1, "note": "list price, Singapore, currently 30% off" }, { "item": "wan3.0-video 1080P", "unit": "video-second", "usd": 0.2, "note": "list price, Singapore, currently 30% off" }, { "item": "wan3.0-video-prime 1080P", "unit": "video-second", "usd": 0.28, "note": "Singapore, $0.068 at 480P, $0.14 at 720P" }, { "item": "wan2.7-t2v 720P", "unit": "video-second", "usd": 0.1, "note": "Singapore" }, { "item": "wan2.7-t2v 1080P", "unit": "video-second", "usd": 0.15, "note": "Singapore" } ], "provenance": { "legalEntity": "Alibaba Cloud (Singapore) Private Limited", "domain": "alibabacloud.com", "domainRegistered": "2009-09-08", "endpointOnVendorDomain": true, "terms": "https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-product-terms-of-service-v-3-8-0", "privacy": "https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-privacy-policy", "statusPage": "https://status.alibabacloud.com", "changelog": "https://www.alibabacloud.com/help/en/model-studio/newly-released-models", "securityTxt": "none", "checked": "2026-11-02", "notes": [ "API hosts are on aliyuncs.com, Alibaba Cloud's service domain", "Legal entity from the International site terms", "status.alibabacloud.com renders only with JavaScript; its robots.txt answered a plain 404 on 2026-11-02", "www.alibabacloud.com/.well-known/security.txt answered an HTML page, not a security.txt, on 2026-11-02" ], "score": 85 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/alibaba-wan.json", "live": { "slug": "alibaba-wan", "probe": { "target": "https://dashscope-intl.aliyuncs.com/api/v1", "method": "get", "lastAt": "2026-11-08T01:01:17.548407697Z", "lastOk": true, "lastStatus": 404, "lastMs": 778, "authRequired": false, "uptime24h": 100, "uptime30d": 99.99, "p50ms24h": 699, "p95ms24h": 823, "samples24h": 244, "samples30d": 7705, "days": [ { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 249, "ok": 248 }, { "date": "2026-10-30", "probes": 248, "ok": 248 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 243, "ok": 243 }, { "date": "2026-11-08", "probes": 11, "ok": 11 } ] }, "vendorStatus": { "page": "https://status.alibabacloud.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-08T00:30:39.779650851Z" }, "versions": [ { "registry": "pypi", "name": "dashscope", "version": "2.0.4", "released": "2026-11-06", "seenAt": "2026-11-08T00:33:57.969881614Z" } ], "githubStars": 18457, "pypiWeekly": 416899, "securityTxt": { "url": "https://alibabacloud.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:27.304200971Z" }, "llmsTxt": { "url": "https://docs.modelstudio.console.alibabacloud.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:31:11.520408909Z" }, "domain": { "domain": "alibabacloud.com", "registered": "2009-09-08", "source": "https://rdap.verisign.com/com/v1/domain/alibabacloud.com", "checkedAt": "2026-11-01T14:16:52.476275395Z" }, "pages": [ { "url": "https://www.alibabacloud.com/help/en/model-studio/newly-released-models", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:24:43.997314389Z", "changedAt": "2026-11-07T14:24:43.997314389Z", "fingerprint": "ae2cae68e7e3" }, { "url": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:24:41.974214201Z", "changedAt": "2026-11-07T14:24:41.974214201Z", "fingerprint": "382740cca797" }, { "url": "https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:24:36.976707008Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3b8b726bf21d" }, { "url": "https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-product-terms-of-service-v-3-8-0", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:24:39.620503662Z", "changedAt": "2026-11-03T08:02:46.891140466Z", "fingerprint": "0f13f1d5f2c8" } ], "github": { "repo": "wan-video/wan2.2", "checkedAt": "2026-11-02T09:37:32.531546561Z", "stars": 18315, "archived": false, "issuesEnabled": true, "pushedAt": "2026-09-21T06:16:22Z", "openIssues": 279, "openPRs": 49, "issuesOpened90d": 38, "issuesClosed90d": 3, "prsMerged90d": 1, "replies": { "sampled": 25, "unanswered": 22, "medianDays": 0 } }, "updatedAt": "2026-11-08T01:01:17.548407697Z" } }, "answer": "Alibaba Wan (Model Studio) scores 65.2 (B) on agent readiness against Magic Hour MCP's 50.7 (D), and leads in 6 of 7 scored categories. Magic Hour MCP leads on schema \u0026 documentation.", "b": { "slug": "magic-hour-mcp", "name": "Magic Hour MCP", "vendor": "Magic Hour AI, Inc.", "vendorUrl": "https://magichour.ai", "kind": "mcp", "category": "video-generation", "summary": "Magic Hour MCP is a hosted server with 50 tools that create and edit images and video, from text-to-video, lip sync and face swap to upscaling, subtitles and music, billed in Magic Hour credits.", "url": "https://www.anchorterminal.com/tools/magic-hour-mcp", "markdownUrl": "https://www.anchorterminal.com/tools/magic-hour-mcp.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/magic-hour-mcp.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/magic-hour-mcp.json", "dns": "magic-hour-mcp.grade.anchorterminal.com", "repo": "https://github.com/magichourhq/magic-hour-mcp", "transports": [ "streamable-http" ], "remoteUrl": "https://mcp.magichour.ai/", "packages": [], "auth": "mixed", "authNotes": "Tool discovery is public. Calls need a Magic Hour API key as a Bearer token (Claude Code, Codex CLI, Manus), or OAuth sign-in through the Claude and ChatGPT connectors.", "pricing": "freemium", "pricingNotes": "Paid plans from $12 a month billed yearly ($19 monthly) with 144,000 credits a year and API access; one-time credit packs without a subscription. A free account gets 400 sign-up credits, and some public tools work without an account; API access is listed on paid plans (checked 2026-11-07).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the MCP docs or pricing page (checked 2026-11-07).", "endpoints": [] }, "toolCount": 50, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-07" }, "docsUrl": "https://docs.magichour.ai/integration/model-context-protocol", "llmsTxt": "https://docs.magichour.ai/llms.txt", "registryName": "io.github.magichourhq/magic-hour", "capabilities": [ "video.generate", "video.image-to-video", "video.edit", "image.generate", "image.edit", "image.upscale", "music.generate" ], "tags": [ "official", "hosted", "mcp", "remote-mcp", "api-key", "oauth", "freemium", "status-page", "llms-txt", "mcp-registry", "annotated-tools" ], "graded": true, "anchor": { "graded": true, "score": 50.7, "grade": "D", "agentReady": false, "rank": 1053, "ranked": true, "rankOf": 1510, "categoryRank": 11, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 55, "maintenance": 75, "payments": 15, "reliability": 35, "schema": 82, "security": 45, "transparency": 58 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-07" }, "negative": 0, "verdict": "Magic Hour's MCP server exposes its whole image and video toolkit, lip sync, face swap, upscaling and text-to-video, with typed schemas built from its OpenAPI file and every tool annotated. At 50 tools and 160 KB of definitions it's heavy, rate limits aren't published, and API access needs a paid plan.", "bestFor": "Agents making short-form video and images, from talking photos and ads to lip-synced translations, on a credit plan.", "strengths": [ "50 tools with typed JSON Schema built from the OpenAPI specification", "Every tool annotated; deletes marked destructive", "A workflow guide and wait tools for long generation jobs", "Prompts, uploads and outputs aren't used for training", "Tool discovery works without a key" ], "weaknesses": [ "About 160 KB of tool definitions", "No published rate limits or error docs", "API access sits on paid plans", "Face swap and head swap tools need care with consent" ], "agentNotes": [ "Call get_workflow_guide first to pick the right tool", "Use the wait_for_* tools instead of polling project status yourself", "Check credits with get_account_info before long video jobs", "Only swap faces or voices of people who consented" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 50.7 } ], "editorialScores": { "ergonomics": 55, "maintenance": 75, "payments": 15, "reliability": 35, "schema": 82, "security": 45, "transparency": 50 }, "provenanceScore": 65, "checked": { "categories": { "ergonomics": "2026-11-07", "maintenance": "2026-11-07", "payments": "2026-11-07", "reliability": "2026-11-07", "schema": "2026-11-07", "security": "2026-11-07", "transparency": "2026-11-07" }, "last": "2026-11-07", "oldest": "2026-11-07", "stale": false, "staleAfterDays": 90 } }, "connect": { "claudeCode": "claude mcp add magic-hour --transport http https://mcp.magichour.ai/ --header \"Authorization: Bearer $MAGIC_HOUR_API_KEY\"", "config": { "mcpServers": { "magic-hour": { "headers": { "Authorization": "Bearer YOUR_MAGIC_HOUR_API_KEY" }, "url": "https://mcp.magichour.ai/" } } } }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/magic-hour-mcp" }, "area": "content", "provenance": { "legalEntity": "Magic Hour AI, Inc.", "domain": "magichour.ai", "domainRegistered": "", "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules.", "endpointOnVendorDomain": true, "terms": "https://magichour.ai/terms-of-service", "privacy": "https://magichour.ai/privacy-policy", "statusPage": "https://status.magichour.ai", "changelog": "https://docs.magichour.ai/changelog", "securityTxt": "none", "checked": "2026-11-07", "notes": [ "Terms revised 3 October 2026 naming Magic Hour AI, Inc." ], "score": 65 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/magic-hour-mcp.json", "live": { "slug": "magic-hour-mcp", "probe": { "target": "https://mcp.magichour.ai/", "method": "mcp-initialize", "lastAt": "2026-11-08T00:55:50.057619643Z", "lastOk": true, "lastStatus": 200, "lastMs": 133, "lastNote": "initialize answered", "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 163, "p95ms24h": 240, "samples24h": 63, "samples30d": 63, "days": [ { "date": "2026-11-07", "probes": 53, "ok": 53 }, { "date": "2026-11-08", "probes": 10, "ok": 10 } ] }, "vendorStatus": { "page": "https://status.magichour.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-08T00:31:36.150831428Z" }, "updatedAt": "2026-11-08T00:55:50.057619643Z" } }, "edges": [ { "by": 35, "category": "reliability", "leads": "alibaba-wan", "name": "Reliability", "reasons": { "a": "Alibaba Cloud runs its own status page at status.alibabacloud.com with per-product components (20). The page renders in the browser only (re-read on 2 November, robots.txt a plain 404), so we couldn't read its incident history (5). The 1 October note also cited a third-party status monitor; that reading is struck, since such copies aren't a vendor record, and no points rested on it. The wan3.0-video and wan3.0-video-prime model pages list 300 requests a minute in every region, per the 1 October check, and the rate-limit page (updated 29 October 2026, re-read on 2 November) caps wan3.0-video and wan3.0-video-prime at 5 requests a second and 5 concurrent requests in Singapore (15). The rate-limit guide documents 429 for bursts and says limits usually recover within a minute, with no Retry-After header, and the pricing page says failed requests aren't billed (10). The Model Studio inference SLA promises 99.9 per cent monthly uptime with service credits on paid inference, per the 1 October check (10). Wan 3.0 carries no preview label in the docs (10). 20+5+15+10+10+10 = 70.", "b": "Status page at status.magichour.ai, all services online, with maintenance and previous incidents sections; no MCP component read (15). Incident history not read (5). No API rate limits found (0). No retry guidance found; wait_for_* tools poll long jobs (5 of 15). No SLA found (0). Not labelled beta (10). 15 + 5 + 0 + 5 + 0 + 10 = 35." }, "scores": { "a": 70, "b": 35 } }, { "by": 35, "category": "security", "leads": "alibaba-wan", "name": "Security \u0026 auth", "reasons": { "a": "Model reading of the checklist (credential, training, retention, operator visibility, programme). API keys belong to a workspace, can be limited to up to 30 models and an IP allow-list of 20 entries, can be reset, and temporary keys last at most 1,800 seconds (30). The Model Studio privacy notice (updated 11 October 2026, re-read on 2 November) says Alibaba Cloud will never use customer data for model training (20). Result URLs and task ids expire after 24 hours (5). We found no deletion call and no retention period for prompts and inputs (0). Audit logs record every model call by default (request id, model, latency, status) and monitoring filters by API key (15). SOC 2 named in the Model Studio privacy notice (5) and a compliance repository linked from it (5). No security.txt on alibabacloud.com (the path answers an HTML page on 2 November), and we didn't find a bug bounty page for Model Studio (0). 30+20+5+0+15+5+5+0 = 80.", "b": "API keys as Bearer tokens or OAuth through the Claude and ChatGPT connectors (20 of 30). Destructive deletes are annotated; no read-only key (8 of 20). Tools return generated media, not third-party text (10). No audit log found (0). No security.txt or certifications found; face and voice tools come with policy limits in the terms (7 of 20). 20 + 8 + 10 + 0 + 7 = 45." }, "scores": { "a": 80, "b": 45 } }, { "by": 20, "category": "transparency", "leads": "alibaba-wan", "name": "Transparency \u0026 trust", "reasons": { "a": "The API models are closed under Alibaba Cloud's product terms. Wan 2.1 and 2.2 weights are Apache 2.0 on GitHub, so part of the family can be self-hosted (20). The privacy notice and FAQ both say customer data is never used for training (10). Result retention is stated (24 hours), input retention isn't (5). The notice, FAQ and API reference agree, but we didn't find a DPA in this run (5). A decommissioning policy with notice periods by model type, 3 months for stable and 14 days for preview models (20). Six regional hosts are documented with separate keys and prices. We found no subprocessor list (10). 20+10+5+5+20+10 = 70.", "b": "Closed service under terms naming Magic Hour AI, Inc., revised 3 October 2026 (15). The privacy policy says prompts, uploads and outputs aren't sold or used to train models, for free and paid accounts, and MCP requests are handled the same way; retention periods aren't given (20 of 30). No deprecation policy found (5 of 20). Subprocessors not read (10 of 20, model providers named in tool docs). 15 + 20 + 5 + 10 = 50." }, "scores": { "a": 78, "b": 58 } }, { "by": 15, "category": "schema", "leads": "magic-hour-mcp", "name": "Schema \u0026 documentation", "reasons": { "a": "No OpenAPI or other machine-readable contract for the DashScope video endpoints (0). llms.txt at docs.modelstudio.console.alibabacloud.com links Markdown copies of the Wan guides and references, Wan 3.0 among them (re-read on 2 November) (10). The Wan 3.0 reference says which model to pick and which inputs combine, and older pages point readers to newer models, but there's little on when not to use a mode (14). Typed parameters with enums for resolution and ratio, ranges for duration (2 to 30, or -1 for a smart duration the model picks) and seed, a 20,000 character prompt cap and stated defaults. `input` takes either a prompt or a media array, which a schema can't express (13). Six curl examples on the Wan 3.0 reference and an error-code page with HTTP status, code, message and a fix for each entry, including video checks such as InvalidFile.FPS (15). Dated snapshots such as `wan2.7-t2v-2026-06-12` and a dated model release page (15). 0+10+14+13+15+15 = 67.", "b": "All 50 tools read from tools/list with JSON Schema inputs and 29 enums, built from Magic Hour's OpenAPI specification (25). llms.txt (10). Long descriptions with a get_workflow_guide tool for choosing between them (17 of 20). Typed inputs with enums and no free-form objects (15). Worked examples; error responses not documented (5 of 15). Dated changelog with entries on 3 to 5 November 2026 (10 of 15, product changelog rather than MCP versions). 25 + 10 + 17 + 15 + 5 + 10 = 82." }, "scores": { "a": 67, "b": 82 } }, { "by": 8, "category": "ergonomics", "leads": "alibaba-wan", "name": "Agent ergonomics", "reasons": { "a": "Create and query calls return small JSON objects with a task id and a video URL (15). No webhook or callback is documented, so an agent polls, every 15 seconds per the docs (0 of the 10 for callbacks). Resolution, ratio and duration control output size (10). We found no task list endpoint in the video docs (0 of 10). The error page gives a code and a fix an agent can act on, though 429 guidance stops at retry later (18). No idempotency key, and the docs say not to resubmit but to keep polling. Failed calls aren't billed, so a retry after a failure is safe (10). Every parameter except the prompt or media has a default (5). The official Python SDK `dashscope` is current. We didn't confirm a second official SDK for video in this run (5). 15+0+10+0+18+10+5+5 = 63.", "b": "50 tools totalling about 160 KB of definitions (5). list_saved_items and project getters; limited size controls (10 of 20). Error handling not documented (5 of 20). Every tool annotated, 14 read-only and the three deletes marked destructive (20). Few required inputs and SDKs (Python, Node and others listed in the docs) (15). 5 + 10 + 5 + 20 + 15 = 55." }, "scores": { "a": 63, "b": 55 } }, { "by": 5, "category": "payments", "leads": "alibaba-wan", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0). Per-second prices for every Wan model are published per region without a login, $0.05 to $0.20 a second for wan3.0-video in Singapore, still marked limited-time 30 per cent off on 2 November (20). A free quota of 30 seconds for wan3.0-video exists in Singapore for 90 days, but the international sign-up asks for payment details first, per the 1 October check (0). A person signs up in a browser and creates the key (0). 0+20+0+0 = 20.", "b": "No machine payment protocol (0). Plan and credit-pack prices public, per-tool credit costs not read (10). 400 sign-up credits with no card, but API access sits on paid plans (5 of 20). A person signs up for a key in a browser (0). Tool discovery is open, but calls need a key (0). 0 + 10 + 5 + 0 = 15." }, "scores": { "a": 20, "b": 15 } } ], "facts": [ { "a": "Model API", "b": "MCP server", "name": "Kind" }, { "a": "Alibaba Cloud", "b": "Magic Hour AI, Inc.", "name": "Vendor" }, { "a": "https://dashscope-intl.aliyuncs.com/api/v1", "b": "https://mcp.magichour.ai/", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (Wan 2.1 and 2.2 weights)", "b": "none", "name": "Licence" }, { "a": "none", "b": "50", "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.magichourhq/magic-hour", "name": "MCP registry" }, { "a": "2026-10-30", "b": "none", "name": "Last release" }, { "a": "couldn't be read", "b": "not read yet", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "not read yet", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "not read yet", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "not read yet", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "not read yet", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "not read yet", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "not read yet", "name": "Arbitration or class-action waiver" }, { "a": "18k stars", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Alibaba Wan (Model Studio) scores 65.2 (B) on agent readiness against Magic Hour MCP's 50.7 (D), and leads in 6 of 7 scored categories. Magic Hour MCP leads on schema \u0026 documentation.", "question": "Which is better for AI agents, Alibaba Wan (Model Studio) or Magic Hour MCP?" }, { "answer": "Alibaba Wan (Model Studio) needs an API key. Magic Hour MCP takes an API key or an OAuth sign-in.", "question": "Do Alibaba Wan (Model Studio) and Magic Hour MCP need an API key?" }, { "answer": "Yes. Alibaba Wan (Model Studio) has a hosted endpoint at https://dashscope-intl.aliyuncs.com/api/v1 and Magic Hour MCP at https://mcp.magichour.ai/.", "question": "Can an agent call Alibaba Wan (Model Studio) and Magic Hour MCP without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 70 against 35", "Agent ergonomics, 63 against 55", "Security \u0026 auth, 80 against 45", "Payments \u0026 pricing, 20 against 15", "Transparency \u0026 trust, 78 against 58" ], "also": null, "goodFor": "Best when one call has to turn mixed references (images, clips, audio, a document) into a long clip with sound, or when you want the option to self-host older Wan weights.", "slug": "alibaba-wan", "watchFor": "Result URLs and task ids expire after 24 hours" }, { "aheadOn": [ "Schema \u0026 documentation, 82 against 67" ], "also": null, "goodFor": "Agents making short-form video and images, from talking photos and ads to lip-synced translations, on a credit plan.", "slug": "magic-hour-mcp", "watchFor": "About 160 KB of tool definitions" } ], "history": { "alibaba-wan": [ { "causes": [ "method" ], "date": "2026-10-28", "delta": 0.1, "from": 65.1, "fromGrade": "B", "to": 65.2, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.3, "from": 65.4, "fromGrade": "B", "to": 65.1, "toGrade": "B" } ], "magic-hour-mcp": null }, "job": { "capability": "video.generate", "name": "Video generation" }, "others": [ { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-fal-video.json", "title": "Alibaba Wan (Model Studio) vs fal video models", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-fal-video" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields.json", "title": "Alibaba Wan (Model Studio) vs framefields", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.json", "title": "Alibaba Wan (Model Studio) vs Google Veo", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-higgsfield.json", "title": "Alibaba Wan (Model Studio) vs Higgsfield API", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-higgsfield" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-hyperframes.json", "title": "Alibaba Wan (Model Studio) vs HyperFrames", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-hyperframes" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-kling.json", "title": "Alibaba Wan (Model Studio) vs Kling AI API", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-kling" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-luma.json", "title": "Alibaba Wan (Model Studio) vs Luma AI API", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-luma" }, { "json": 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"https://www.anchorterminal.com/compare/alibaba-wan-vs-popcraft-mcp" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-replicate-video.json", "title": "Alibaba Wan (Model Studio) vs Replicate video models", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-runway.json", "title": "Alibaba Wan (Model Studio) vs Runway API", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-seedance-on-byteplus-modelark.json", "title": "Alibaba Wan (Model Studio) vs Seedance on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-seedance-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-vidu.json", "title": "Alibaba Wan (Model Studio) vs Vidu API", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-vidu" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-magic-hour-mcp.json", "title": "fal video models vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/fal-video-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-magic-hour-mcp.json", "title": "framefields vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/framefields-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp.json", "title": "Google Veo vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-magic-hour-mcp.json", "title": "Higgsfield API vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/hyperframes-vs-magic-hour-mcp.json", "title": "HyperFrames vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/hyperframes-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/kling-vs-magic-hour-mcp.json", "title": "Kling AI API vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/kling-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/luma-vs-magic-hour-mcp.json", "title": "Luma AI API vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/luma-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-minimax-video.json", "title": "Magic Hour MCP vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-openai-sora.json", "title": "Magic Hour MCP vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-pika.json", "title": "Magic Hour MCP vs Pika API", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-pixverse.json", "title": "Magic Hour MCP vs PixVerse API", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-popcraft-mcp.json", "title": "Magic Hour MCP vs Popcraft MCP", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-popcraft-mcp" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-replicate-video.json", "title": "Magic Hour MCP vs Replicate video models", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-runway.json", "title": "Magic Hour MCP vs Runway API", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-seedance-on-byteplus-modelark.json", "title": "Magic Hour MCP vs Seedance on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-seedance-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-vidu.json", "title": "Magic Hour MCP vs Vidu API", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-vidu" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-clueso-video.json", "title": "Alibaba Wan (Model Studio) vs Clueso", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-clueso-video" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-sync-labs-mcp.json", "title": "Alibaba Wan (Model Studio) vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/clueso-video-vs-magic-hour-mcp.json", "title": "Clueso vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/clueso-video-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-sync-labs-mcp.json", "title": "Magic Hour MCP vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-sync-labs-mcp" } ], "panel": null, "scores": [ { "alibaba-wan": 70, "by": 35, "edge": "alibaba-wan", "key": "reliability", "magic-hour-mcp": 35, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "alibaba-wan": 67, "by": 15, "edge": "magic-hour-mcp", "key": "schema", "magic-hour-mcp": 82, "name": "Schema \u0026 documentation", "weight": 13 }, { "alibaba-wan": 63, "by": 8, "edge": "alibaba-wan", "key": "ergonomics", "magic-hour-mcp": 55, "name": "Agent ergonomics", "weight": 13 }, { "alibaba-wan": 80, "by": 35, "edge": "alibaba-wan", "key": "security", "magic-hour-mcp": 45, "name": "Security \u0026 auth", "weight": 14 }, { "alibaba-wan": 20, "by": 5, "edge": "alibaba-wan", "key": "payments", "magic-hour-mcp": 15, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "alibaba-wan": 77, "by": 2, "edge": "alibaba-wan", "key": "maintenance", "magic-hour-mcp": 75, "name": "Maintenance \u0026 community", "weight": 7 }, { "alibaba-wan": 78, "by": 20, "edge": "alibaba-wan", "key": "transparency", "magic-hour-mcp": 58, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Alibaba Wan (Model Studio) scores 65.2 (B) on agent readiness against Magic Hour MCP's 50.7 (D), and leads in 6 of 7 scored categories. Magic Hour MCP leads on schema \u0026 documentation. Both do video generation.", "tasks": null, "tutorials": [], "verdicts": { "alibaba-wan": "Wan 3.0 clips run 2 to 30 seconds at up to 1080p with audio on by default, at published per-second prices, and failed requests aren't billed. Every job is polled, since no callback is documented, and result URLs and task ids expire after 24 hours.", "magic-hour-mcp": "Magic Hour's MCP server exposes its whole image and video toolkit, lip sync, face swap, upscaling and text-to-video, with typed schemas built from its OpenAPI file and every tool annotated. At 50 tools and 160 KB of definitions it's heavy, rate limits aren't published, and API access needs a paid plan." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp", "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp.min.md" }, "markdown": "Alibaba Wan (Model Studio) scores 65.2 (B) on agent readiness against Magic Hour MCP's 50.7 (D), and leads in 6 of 7 scored categories. Magic Hour MCP leads on schema \u0026 documentation. Both do video generation.\n\n- Alibaba Wan (Model Studio): grade B, 65.2/100, rank #429 of 1510. Markdown https://www.anchorterminal.com/tools/alibaba-wan.md · JSON https://www.anchorterminal.com/api/v1/tools/alibaba-wan.json\n- Magic Hour MCP: grade D, 50.7/100, rank #1053 of 1510. Markdown https://www.anchorterminal.com/tools/magic-hour-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/magic-hour-mcp.json\n- Best video generation for AI agents: https://www.anchorterminal.com/best/video-generation/index.md\n- All 183 video comparisons: https://www.anchorterminal.com/compare/video-generation/index.md\n\n## Which one, for what\n\n### Alibaba Wan (Model Studio) (B)\n\nGood for: Best when one call has to turn mixed references (images, clips, audio, a document) into a long clip with sound, or when you want the option to self-host older Wan weights.\n\nAhead on:\n- Reliability, 70 against 35\n- Agent ergonomics, 63 against 55\n- Security \u0026 auth, 80 against 45\n- Payments \u0026 pricing, 20 against 15\n- Transparency \u0026 trust, 78 against 58\n\nWatch for: Result URLs and task ids expire after 24 hours\n\n### Magic Hour MCP (D)\n\nGood for: Agents making short-form video and images, from talking photos and ads to lip-synced translations, on a credit plan.\n\nAhead on:\n- Schema \u0026 documentation, 82 against 67\n\nWatch for: About 160 KB of tool definitions\n\n\n## Why the edge\n\n### Reliability: Alibaba Wan (Model Studio) +35\n\n- Alibaba Wan (Model Studio) (70): Alibaba Cloud runs its own status page at status.alibabacloud.com with per-product components (20). The page renders in the browser only (re-read on 2 November, robots.txt a plain 404), so we couldn't read its incident history (5). The 1 October note also cited a third-party status monitor; that reading is struck, since such copies aren't a vendor record, and no points rested on it. The wan3.0-video and wan3.0-video-prime model pages list 300 requests a minute in every region, per the 1 October check, and the rate-limit page (updated 29 October 2026, re-read on 2 November) caps wan3.0-video and wan3.0-video-prime at 5 requests a second and 5 concurrent requests in Singapore (15). The rate-limit guide documents 429 for bursts and says limits usually recover within a minute, with no Retry-After header, and the pricing page says failed requests aren't billed (10). The Model Studio inference SLA promises 99.9 per cent monthly uptime with service credits on paid inference, per the 1 October check (10). Wan 3.0 carries no preview label in the docs (10). 20+5+15+10+10+10 = 70.\n- Magic Hour MCP (35): Status page at status.magichour.ai, all services online, with maintenance and previous incidents sections; no MCP component read (15). Incident history not read (5). No API rate limits found (0). No retry guidance found; wait_for_* tools poll long jobs (5 of 15). No SLA found (0). Not labelled beta (10). 15 + 5 + 0 + 5 + 0 + 10 = 35.\n\n### Security \u0026 auth: Alibaba Wan (Model Studio) +35\n\n- Alibaba Wan (Model Studio) (80): Model reading of the checklist (credential, training, retention, operator visibility, programme). API keys belong to a workspace, can be limited to up to 30 models and an IP allow-list of 20 entries, can be reset, and temporary keys last at most 1,800 seconds (30). The Model Studio privacy notice (updated 11 October 2026, re-read on 2 November) says Alibaba Cloud will never use customer data for model training (20). Result URLs and task ids expire after 24 hours (5). We found no deletion call and no retention period for prompts and inputs (0). Audit logs record every model call by default (request id, model, latency, status) and monitoring filters by API key (15). SOC 2 named in the Model Studio privacy notice (5) and a compliance repository linked from it (5). No security.txt on alibabacloud.com (the path answers an HTML page on 2 November), and we didn't find a bug bounty page for Model Studio (0). 30+20+5+0+15+5+5+0 = 80.\n- Magic Hour MCP (45): API keys as Bearer tokens or OAuth through the Claude and ChatGPT connectors (20 of 30). Destructive deletes are annotated; no read-only key (8 of 20). Tools return generated media, not third-party text (10). No audit log found (0). No security.txt or certifications found; face and voice tools come with policy limits in the terms (7 of 20). 20 + 8 + 10 + 0 + 7 = 45.\n\n### Transparency \u0026 trust: Alibaba Wan (Model Studio) +20\n\n- Alibaba Wan (Model Studio) (78): The API models are closed under Alibaba Cloud's product terms. Wan 2.1 and 2.2 weights are Apache 2.0 on GitHub, so part of the family can be self-hosted (20). The privacy notice and FAQ both say customer data is never used for training (10). Result retention is stated (24 hours), input retention isn't (5). The notice, FAQ and API reference agree, but we didn't find a DPA in this run (5). A decommissioning policy with notice periods by model type, 3 months for stable and 14 days for preview models (20). Six regional hosts are documented with separate keys and prices. We found no subprocessor list (10). 20+10+5+5+20+10 = 70.\n- Magic Hour MCP (58): Closed service under terms naming Magic Hour AI, Inc., revised 3 October 2026 (15). The privacy policy says prompts, uploads and outputs aren't sold or used to train models, for free and paid accounts, and MCP requests are handled the same way; retention periods aren't given (20 of 30). No deprecation policy found (5 of 20). Subprocessors not read (10 of 20, model providers named in tool docs). 15 + 20 + 5 + 10 = 50.\n\n### Schema \u0026 documentation: Magic Hour MCP +15\n\n- Alibaba Wan (Model Studio) (67): No OpenAPI or other machine-readable contract for the DashScope video endpoints (0). llms.txt at docs.modelstudio.console.alibabacloud.com links Markdown copies of the Wan guides and references, Wan 3.0 among them (re-read on 2 November) (10). The Wan 3.0 reference says which model to pick and which inputs combine, and older pages point readers to newer models, but there's little on when not to use a mode (14). Typed parameters with enums for resolution and ratio, ranges for duration (2 to 30, or -1 for a smart duration the model picks) and seed, a 20,000 character prompt cap and stated defaults. `input` takes either a prompt or a media array, which a schema can't express (13). Six curl examples on the Wan 3.0 reference and an error-code page with HTTP status, code, message and a fix for each entry, including video checks such as InvalidFile.FPS (15). Dated snapshots such as `wan2.7-t2v-2026-06-12` and a dated model release page (15). 0+10+14+13+15+15 = 67.\n- Magic Hour MCP (82): All 50 tools read from tools/list with JSON Schema inputs and 29 enums, built from Magic Hour's OpenAPI specification (25). llms.txt (10). Long descriptions with a get_workflow_guide tool for choosing between them (17 of 20). Typed inputs with enums and no free-form objects (15). Worked examples; error responses not documented (5 of 15). Dated changelog with entries on 3 to 5 November 2026 (10 of 15, product changelog rather than MCP versions). 25 + 10 + 17 + 15 + 5 + 10 = 82.\n\n### Agent ergonomics: Alibaba Wan (Model Studio) +8\n\n- Alibaba Wan (Model Studio) (63): Create and query calls return small JSON objects with a task id and a video URL (15). No webhook or callback is documented, so an agent polls, every 15 seconds per the docs (0 of the 10 for callbacks). Resolution, ratio and duration control output size (10). We found no task list endpoint in the video docs (0 of 10). The error page gives a code and a fix an agent can act on, though 429 guidance stops at retry later (18). No idempotency key, and the docs say not to resubmit but to keep polling. Failed calls aren't billed, so a retry after a failure is safe (10). Every parameter except the prompt or media has a default (5). The official Python SDK `dashscope` is current. We didn't confirm a second official SDK for video in this run (5). 15+0+10+0+18+10+5+5 = 63.\n- Magic Hour MCP (55): 50 tools totalling about 160 KB of definitions (5). list_saved_items and project getters; limited size controls (10 of 20). Error handling not documented (5 of 20). Every tool annotated, 14 read-only and the three deletes marked destructive (20). Few required inputs and SDKs (Python, Node and others listed in the docs) (15). 5 + 10 + 5 + 20 + 15 = 55.\n\n### Payments \u0026 pricing: Alibaba Wan (Model Studio) +5\n\n- Alibaba Wan (Model Studio) (20): No x402, MPP or L402 (0). Per-second prices for every Wan model are published per region without a login, $0.05 to $0.20 a second for wan3.0-video in Singapore, still marked limited-time 30 per cent off on 2 November (20). A free quota of 30 seconds for wan3.0-video exists in Singapore for 90 days, but the international sign-up asks for payment details first, per the 1 October check (0). A person signs up in a browser and creates the key (0). 0+20+0+0 = 20.\n- Magic Hour MCP (15): No machine payment protocol (0). Plan and credit-pack prices public, per-tool credit costs not read (10). 400 sign-up credits with no card, but API access sits on paid plans (5 of 20). A person signs up for a key in a browser (0). Tool discovery is open, but calls need a key (0). 0 + 10 + 5 + 0 = 15.\n\n## Score by category\n\n| Category | Weight | Alibaba Wan (Model Studio) | Magic Hour MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 35 | Alibaba Wan (Model Studio) +35 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 67 | 82 | Magic Hour MCP +15 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 55 | Alibaba Wan (Model Studio) +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 45 | Alibaba Wan (Model Studio) +35 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 15 | Alibaba Wan (Model Studio) +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 75 | Alibaba Wan (Model Studio) +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 78 | 58 | Alibaba Wan (Model Studio) +20 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **65.2 · B** | **50.7 · D** | |\n\n## Facts side by side\n\n| Fact | Alibaba Wan (Model Studio) | Magic Hour MCP |\n| --- | --- | --- |\n| Kind | Model API | MCP server |\n| Vendor | Alibaba Cloud | Magic Hour AI, Inc. |\n| Hosted endpoint | `https://dashscope-intl.aliyuncs.com/api/v1` | `https://mcp.magichour.ai/` |\n| Transports | HTTP | Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 (Wan 2.1 and 2.2 weights) | none |\n| Tools exposed | none | 50 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.magichourhq/magic-hour` |\n| Last release | 2026-10-30 | none |\n| Terms last updated | couldn't be read | not read yet |\n| Privacy policy last updated | couldn't be read | not read yet |\n| Customer content may train models | couldn't be read | not read yet |\n| Terms restrict automated access | couldn't be read | not read yet |\n| Terms restrict benchmarking | couldn't be read | not read yet |\n| Terms or service can change without notice | couldn't be read | not read yet |\n| Arbitration or class-action waiver | couldn't be read | not read yet |\n| Popularity | 18k stars | none |\n| Agent reviews | 3.5/5 (2) | none |\n\n## How the scores have moved\n\n### Alibaba Wan (Model Studio)\n\n- +0.1 on 28 October 2026: checklist\n- -0.3 on 8 October 2026: checklist\n\n### Magic Hour MCP\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Alibaba Wan (Model Studio).** Wan 3.0 clips run 2 to 30 seconds at up to 1080p with audio on by default, at published per-second prices, and failed requests aren't billed. Every job is polled, since no callback is documented, and result URLs and task ids expire after 24 hours.\n\n**Magic Hour MCP.** Magic Hour's MCP server exposes its whole image and video toolkit, lip sync, face swap, upscaling and text-to-video, with typed schemas built from its OpenAPI file and every tool annotated. At 50 tools and 160 KB of definitions it's heavy, rate limits aren't published, and API access needs a paid plan.\n\n## Before you call either\n\n### Alibaba Wan (Model Studio)\n\n1. Send `X-DashScope-Async: enable` on the create call or it fails, then poll GET /api/v1/tasks/{task_id} about every 15 seconds\n2. Copy the video out within 24 hours. The URL and the task id both expire\n3. Use the host from your workspace and region. A Singapore key won't work on a Beijing host\n4. Don't resubmit a slow job. Poll it. Failed jobs aren't billed, so resubmit only after FAILED\n5. Set `audio` false if you don't want sound. It's on by default for Wan 3.0\n\n### Magic Hour MCP\n\n1. Call get_workflow_guide first to pick the right tool\n2. Use the wait_for_* tools instead of polling project status yourself\n3. Check credits with get_account_info before long video jobs\n4. Only swap faces or voices of people who consented\n\n## Questions\n\n### Which is better for AI agents, Alibaba Wan (Model Studio) or Magic Hour MCP?\n\nAlibaba Wan (Model Studio) scores 65.2 (B) on agent readiness against Magic Hour MCP's 50.7 (D), and leads in 6 of 7 scored categories. Magic Hour MCP leads on schema \u0026 documentation.\n\n### Do Alibaba Wan (Model Studio) and Magic Hour MCP need an API key?\n\nAlibaba Wan (Model Studio) needs an API key. Magic Hour MCP takes an API key or an OAuth sign-in.\n\n### Can an agent call Alibaba Wan (Model Studio) and Magic Hour MCP without installing anything?\n\nYes. Alibaba Wan (Model Studio) has a hosted endpoint at https://dashscope-intl.aliyuncs.com/api/v1 and Magic Hour MCP at https://mcp.magichour.ai/.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp.json, and with the fewest tokens: https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"alibaba-wan\", \"b\": \"magic-hour-mcp\"}`. From a terminal: `anchor compare alibaba-wan magic-hour-mcp`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/alibaba-wan.json and https://www.anchorterminal.com/api/v1/tools/magic-hour-mcp.json\n\n## Other comparisons with Alibaba Wan (Model Studio) or Magic Hour MCP\n\n- [Alibaba Wan (Model Studio) vs fal video models](https://www.anchorterminal.com/compare/alibaba-wan-vs-fal-video.md)\n- [Alibaba Wan (Model Studio) vs framefields](https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields.md)\n- [Alibaba Wan (Model Studio) vs Google Veo](https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.md)\n- [Alibaba Wan (Model Studio) vs Higgsfield API](https://www.anchorterminal.com/compare/alibaba-wan-vs-higgsfield.md)\n- [Alibaba Wan (Model Studio) vs HyperFrames](https://www.anchorterminal.com/compare/alibaba-wan-vs-hyperframes.md)\n- [Alibaba Wan (Model Studio) vs Kling AI API](https://www.anchorterminal.com/compare/alibaba-wan-vs-kling.md)\n- [Alibaba Wan (Model Studio) vs Luma AI API](https://www.anchorterminal.com/compare/alibaba-wan-vs-luma.md)\n- [Alibaba Wan (Model Studio) vs MiniMax Video API](https://www.anchorterminal.com/compare/alibaba-wan-vs-minimax-video.md)\n- [Alibaba Wan (Model Studio) vs OpenAI Sora API](https://www.anchorterminal.com/compare/alibaba-wan-vs-openai-sora.md)\n- [Alibaba Wan (Model Studio) vs Pika API](https://www.anchorterminal.com/compare/alibaba-wan-vs-pika.md)\n- [Alibaba Wan (Model Studio) vs PixVerse API](https://www.anchorterminal.com/compare/alibaba-wan-vs-pixverse.md)\n- [Alibaba Wan (Model Studio) vs Popcraft MCP](https://www.anchorterminal.com/compare/alibaba-wan-vs-popcraft-mcp.md)\n- [Alibaba Wan (Model Studio) vs Replicate video models](https://www.anchorterminal.com/compare/alibaba-wan-vs-replicate-video.md)\n- [Alibaba Wan (Model Studio) vs Runway API](https://www.anchorterminal.com/compare/alibaba-wan-vs-runway.md)\n- [Alibaba Wan (Model Studio) vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/alibaba-wan-vs-seedance-on-byteplus-modelark.md)\n- [Alibaba Wan (Model Studio) vs Vidu API](https://www.anchorterminal.com/compare/alibaba-wan-vs-vidu.md)\n- [fal video models vs Magic Hour MCP](https://www.anchorterminal.com/compare/fal-video-vs-magic-hour-mcp.md)\n- [framefields vs Magic Hour MCP](https://www.anchorterminal.com/compare/framefields-vs-magic-hour-mcp.md)\n- [Google Veo vs Magic Hour MCP](https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp.md)\n- [Higgsfield API vs Magic Hour MCP](https://www.anchorterminal.com/compare/higgsfield-vs-magic-hour-mcp.md)\n- [HyperFrames vs Magic Hour MCP](https://www.anchorterminal.com/compare/hyperframes-vs-magic-hour-mcp.md)\n- [Kling AI API vs Magic Hour MCP](https://www.anchorterminal.com/compare/kling-vs-magic-hour-mcp.md)\n- [Luma AI API vs Magic Hour MCP](https://www.anchorterminal.com/compare/luma-vs-magic-hour-mcp.md)\n- [Magic Hour MCP vs MiniMax Video API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-minimax-video.md)\n- [Magic Hour MCP vs OpenAI Sora API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-openai-sora.md)\n- [Magic Hour MCP vs Pika API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-pika.md)\n- [Magic Hour MCP vs PixVerse API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-pixverse.md)\n- [Magic Hour MCP vs Popcraft MCP](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-popcraft-mcp.md)\n- [Magic Hour MCP vs Replicate video models](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-replicate-video.md)\n- [Magic Hour MCP vs Runway API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-runway.md)\n- [Magic Hour MCP vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-seedance-on-byteplus-modelark.md)\n- [Magic Hour MCP vs Vidu API](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-vidu.md)\n- [Alibaba Wan (Model Studio) vs Clueso](https://www.anchorterminal.com/compare/alibaba-wan-vs-clueso-video.md)\n- [Alibaba Wan (Model Studio) vs sync. labs MCP server](https://www.anchorterminal.com/compare/alibaba-wan-vs-sync-labs-mcp.md)\n- [Clueso vs Magic Hour MCP](https://www.anchorterminal.com/compare/clueso-video-vs-magic-hour-mcp.md)\n- [Magic Hour MCP vs sync. labs MCP server](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-sync-labs-mcp.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-08", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Alibaba Wan (Model Studio) vs Magic Hour MCP", "url": "" } ], "description": "Alibaba Wan scores 65.2 (B) to Magic Hour MCP's 50.7 (D) for video generation. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Alibaba Wan (Model Studio) B 65.2", "Magic Hour MCP D 50.7", "scores" ], "h1": "Alibaba Wan (Model Studio) vs Magic Hour MCP", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/alibaba-wan-vs-magic-hour-mcp", "published": "2026-10-01", "section": "tools", "title": "Alibaba Wan vs Magic Hour MCP for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp" }, "tokens": { "markdown": 4800, "slim": 2680 }, "version": 1 }