{
  "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": 66.4,
        "grade": "B",
        "agentReady": false,
        "rank": 474,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 3,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 77,
          "payments": 30,
          "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": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 66.4
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 77,
          "payments": 30,
          "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": "2026-11-13",
          "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": [
        "qwen3-embedding-0-6b",
        "qwen3-embedding-4b",
        "qwen3-embedding-8b",
        "qwen3-vl-embedding-2b",
        "qwen3-vl-embedding-8b",
        "qwen-image-2-1",
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        "qwen3-coder-next",
        "qwen3-omni-30b-a3b-instruct",
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        "qwen3-vl-30b-a3b-instruct",
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        "qwen3-vl-4b-instruct",
        "qwen3-vl-8b-instruct",
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      ],
      "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",
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    },
    "answer": "Alibaba Wan (Model Studio) scores 66.4 (B) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community.",
    "b": {
      "slug": "gemini-omni-1-2-flash",
      "name": "Gemini Omni 1.2 Flash",
      "vendor": "Google",
      "vendorUrl": "https://ai.google.dev",
      "kind": "model",
      "category": "video-generation",
      "summary": "Gemini Omni 1.2 Flash is Google's generally available video model. It generates and edits clips of up to 15 seconds with audio from text, images, short clips and keyframes, from $0.023 a second at 360p to $0.209 at 4K.",
      "url": "https://www.anchorterminal.com/tools/gemini-omni-1-2-flash",
      "markdownUrl": "https://www.anchorterminal.com/tools/gemini-omni-1-2-flash.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-omni-1-2-flash.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-omni-1-2-flash.json",
      "dns": "gemini-omni-1-2-flash.grade.anchorterminal.com",
      "license": "Closed model, used through the Gemini API and Google Cloud under Google's terms. The google-genai SDKs are Apache-2.0",
      "transports": [
        "http"
      ],
      "packages": [],
      "auth": "api-key",
      "authNotes": "An `x-goog-api-key` from Google AI Studio on the Gemini API, per the Gemini API listing; on Google Cloud, a project with Gemini for business. Paid use needs billing on the Cloud project.",
      "pricing": "usage",
      "pricingNotes": "$1.50 per million input tokens, $9 per million text output tokens and $12 per million video output tokens. Video bills at 5,792 tokens a second at 720p, about $0.07 a second; Google gives $0.023 a second at 360p, $0.104 at 1080p and $0.209 at 4K with upsampling. No free tier, Batch, Flex or Priority. From 3 December 2026 requests to Omni 1.1 Flash route to 1.2 Flash at 1.2 rates. Per the pricing page, 11 November 2026.",
      "priceSummary": "Pay per use",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in Google's announcement of 5 November 2026. Paid use is billed to a Cloud project, per the Gemini API listing.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
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        "asOf": "2026-11-11"
      },
      "docsUrl": "https://aistudio.google.com/docs/omni",
      "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt",
      "capabilities": [
        "video.generate",
        "video.edit",
        "video.image-to-video",
        "video.audio"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "multimodal",
        "usage-priced",
        "closed-source",
        "llms-txt",
        "watermark",
        "new"
      ],
      "lastRelease": "2026-11-05",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 55.1,
        "grade": "C",
        "agentReady": false,
        "rank": 972,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 10,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 54,
          "maintenance": 83,
          "payments": 30,
          "reliability": 45,
          "schema": 69,
          "security": 50,
          "transparency": 72
        },
        "pending": [
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          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-11"
        },
        "negative": 0,
        "verdict": "Google's generally available video model makes clips of up to 15 seconds with audio, edits them turn by turn and upscales drafts to 1080p or 4K, from $0.023 a second at 360p to $0.209 at 4K. It is paid only, the guide still describes Omni 1.1, and every quality claim is Google's.",
        "bestFor": "Short product, ad and explainer clips with audio where an agent needs to revise a clip over several turns rather than regenerate it.",
        "strengths": [
          "Generally available on the Gemini API and Google Cloud, per Google's post of 5 November 2026",
          "Per-second rates published without a login: $0.023 at 360p, about $0.07 at 720p, $0.104 at 1080p, $0.209 at 4K",
          "Edits run turn by turn through previous_interaction_id instead of regenerating the clip",
          "Takes text, reference images, up to three short reference clips and first and last keyframes",
          "Paid-tier content isn't used to improve Google's products, and outputs carry a SynthID watermark"
        ],
        "weaknesses": [
          "No free tier, per the pricing page",
          "The Omni guide, read on 11 November, still describes Omni 1.1 Flash and doesn't mention 1.2",
          "Length is set in the prompt with timecodes, not by a request field",
          "Editing or extending uploaded videos isn't available in the EEA, Switzerland or the UK",
          "Google says fast sports action, rapid script changes and complex physics are still weak"
        ],
        "agentNotes": [
          "Call POST /v1beta/interactions with model gemini-omni-1.2-flash and response_format type video; Veo is gone from the Gemini API",
          "Set delivery to uri for clips over 4 MB and poll the file until ACTIVE; a later GET returns base64 only",
          "Edit with previous_interaction_id and leave store on, or the clip can't be edited in a later turn",
          "Set length in the prompt with timecodes such as [0-3s]; there is no duration field",
          "Draft at 360p or 720p and upscale only the keepers: 4K costs about nine times 360p"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 55.1
          }
        ],
        "editorialScores": {
          "ergonomics": 54,
          "maintenance": 83,
          "payments": 30,
          "reliability": 45,
          "schema": 69,
          "security": 50,
          "transparency": 55
        },
        "provenanceScore": 89,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-11",
            "maintenance": "2026-11-11",
            "payments": "2026-11-11",
            "reliability": "2026-11-11",
            "schema": "2026-11-11",
            "security": "2026-11-11",
            "transparency": "2026-11-11"
          },
          "last": "2026-11-11",
          "lastMoved": "2026-11-13",
          "oldest": "2026-11-11",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl -X POST \"https://generativelanguage.googleapis.com/v1beta/interactions\" \\\n  -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"gemini-omni-1.2-flash\",\"input\":\"[0-6s] A ceramic mug turning slowly on a wooden table, continuous shot.\",\"response_format\":{\"type\":\"video\",\"aspect_ratio\":\"16:9\",\"resolution\":\"720p\",\"delivery\":\"uri\"}}'"
      },
      "letme": {
        "capability": "https://letme.dev/video.generate",
        "tool": "https://letme.dev/gemini-omni-1-2-flash"
      },
      "sameCompany": [
        "gemini-4-carbon",
        "gemini-4-hydrogen",
        "vertex-ai",
        "embeddinggemma-2",
        "embeddinggemma-300m",
        "gemini-embedding",
        "vertex-ai-tuning",
        "cloud-run-gpus",
        "google-model-armor",
        "shieldgemma",
        "google-imagen",
        "google-veo",
        "google-lyria",
        "google-speech-to-text",
        "google-cloud-tts",
        "gemini-live",
        "google-adk",
        "google-memory-bank",
        "google-secret-manager",
        "google-cloud-document-ai",
        "google-weather-api",
        "chrome-devtools-mcp",
        "puppeteer",
        "mcp-toolbox-databases",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "firebase-cloud-messaging",
        "google-cloud-storage",
        "google-drive-api",
        "gemini-enterprise",
        "gemini-decision-1",
        "antigravity-cli",
        "gemini-cli",
        "harness2",
        "jules",
        "gemini-spark",
        "google-search-console",
        "google-ads-api",
        "google-forms",
        "google-sheets-api",
        "gmail-api",
        "google-people-api",
        "diffusiongemma-26b-a4b-it",
        "gemma-4-12b-it",
        "gemma-4-26b-a4b-it",
        "gemma-4-31b-it",
        "gemma-4-e2b-it",
        "gemma-4-e4b-it",
        "virustotal"
      ],
      "sameModel": [
        "gemini-api"
      ],
      "area": "content",
      "unitPrices": [
        {
          "item": "Gemini Omni 1.2 Flash, 360p",
          "unit": "video-second",
          "usd": 0.023,
          "note": "Pricing page effective rate"
        },
        {
          "item": "Gemini Omni 1.2 Flash, 720p",
          "unit": "video-second",
          "usd": 0.07,
          "note": "About; 5,792 output tokens a second at $12 per million"
        },
        {
          "item": "Gemini Omni 1.2 Flash, 1080p",
          "unit": "video-second",
          "usd": 0.104,
          "note": "With upsampling"
        },
        {
          "item": "Gemini Omni 1.2 Flash, 4K",
          "unit": "video-second",
          "usd": 0.209,
          "note": "With upsampling"
        }
      ],
      "provenance": {
        "legalEntity": "Google LLC",
        "domain": "google.com",
        "domainRegistered": "1997-09-15",
        "domainNote": "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997.",
        "endpointOnVendorDomain": true,
        "terms": "https://ai.google.dev/gemini-api/terms",
        "privacy": "https://policies.google.com/privacy",
        "statusPage": "https://aistudio.google.com/status",
        "changelog": "https://ai.google.dev/gemini-api/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-11-11",
        "score": 89
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-omni-1-2-flash.json",
      "live": {
        "slug": "gemini-omni-1-2-flash",
        "securityTxt": {
          "url": "https://google.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2030-04-01T00:00:00z",
          "checkedAt": "2026-11-13T16:15:44.621683591Z"
        },
        "llmsTxt": {
          "url": "https://ai.google.dev/gemini-api/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-13T15:54:29.187425516Z"
        },
        "updatedAt": "2026-11-13T16:15:44.621683591Z"
      }
    },
    "edges": [
      {
        "by": 30,
        "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": "Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). The pricing page, read on 11 November, lists no free tier for Omni 1.2 Flash, and paid-tier content isn't used to improve Google's products (15 of 20). Retention of generated videos isn't stated in the guide (5 of 15). Request logs described for Generate Content, not confirmed for Interactions video calls (10 of 15). security.txt and a reward programme, no certification naming the API (5 of 20). Outputs carry a SynthID watermark, and uploads of minors and some recognisable people are refused in the EEA, Switzerland and the UK. 15 + 15 + 5 + 10 + 5 = 50."
        },
        "scores": {
          "a": 80,
          "b": 50
        }
      },
      {
        "by": 25,
        "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": "Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Platform rate-limit tiers; the public rate-limit page has no Omni 1.2 row (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA read for the Gemini API route, and the Omni guide says provisioned throughput isn't supported there; Google's post puts it on Google Cloud (0). Google's post of 5 November says generally available, and the SDK commit marks the model GA (10). 10 + 5 + 5 + 15 + 0 + 10 = 45."
        },
        "scores": {
          "a": 70,
          "b": 45
        }
      },
      {
        "by": 9,
        "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": "Read on the lines the Veo listing used for video models. Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Per the Omni guide (written for 1.1 on the same API), the video comes back in the response, inline as base64 or as a Google-hosted file to poll until ACTIVE with delivery uri for outputs over 4 MB (12 of 15). No callback (0 of 10). Resolution, aspect ratio and delivery control output size, and edits run turn by turn through previous_interaction_id without regenerating from scratch (10). No list of past jobs found (0 of 10). Standard Google error statuses on the platform, with FAILED as the only Omni-specific state (12 of 14). No idempotency key, and whether failed generations are billed isn't stated (5 of 20). Only model and input are required, with 720p and 16:9 as defaults, and SDKs in five languages plus the CLI (15). 12 + 0 + 10 + 0 + 12 + 5 + 15 = 54."
        },
        "scores": {
          "a": 63,
          "b": 54
        }
      },
      {
        "by": 6,
        "category": "maintenance",
        "leads": "gemini-omni-1-2-flash",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Model reading (notice periods and churn in place of release counts). The `dashscope` SDK shipped 2.0.3 on 30 October 2026, after 1.27.8 (19 October), 2.0.1 (21 October) and 2.0.2 (27 October), and the Wan 3.0 API reference was updated on 15 October; the newest Wan model is still wan3.0-video-prime (20 August 2026) (30). The decommissioning policy (updated 27 October 2026) gives stable models, dated versions included, at least 3 months' notice before end of service and preview models 14 days, by announcement, email and internal message. Every Wan model on the pricing page of 29 October is still priced, none was found retired in the 90 days to 2 November, and the policy page's 10 October and 19 January 2027 batches link announcements that are drawn by script and unread. The preview window is short, so 15 of 20, as on 1 October. Dated model release page updated to 30 October, plus Alibaba Cloud ticket support (12 of 15). Current official SDK on PyPI (15). PyPI links no source repository or CI (5). 30+15+12+15+5 = 77.",
          "b": "Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released and generally available on 5 November 2026; the SDKs added it to the Interactions model list on 10 November (30). Deprecations with earliest dates and no stated minimum notice (4 of 12). Churn in Google's video line: every Veo model on the Gemini API shut down by 22 October, and from 3 December 2026 requests to Omni 1.1 Flash are routed to 1.2 Flash and billed at its rates, four weeks after this release (4 of 8). Dated SDK and platform changelogs (15). SDK replies not sampled (5 of 10). Current SDKs in five languages (15). Runtimes stated (10). 30 + 4 + 4 + 15 + 5 + 15 + 10 = 83."
        },
        "scores": {
          "a": 77,
          "b": 83
        }
      },
      {
        "by": 6,
        "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": "Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Paid only, so content isn't used to improve products; video retention isn't stated (20 of 30). Deprecations table and a dated routing notice for Omni 1.1 Flash (15 of 20). Data may be processed anywhere Google has facilities on the Gemini API route; no subprocessor list checked (5 of 20). SynthID watermarking is disclosed, and Google names the cases it still handles poorly. 15 + 20 + 15 + 5 = 55."
        },
        "scores": {
          "a": 78,
          "b": 72
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Alibaba Cloud",
        "b": "Google",
        "name": "Vendor"
      },
      {
        "a": "https://dashscope-intl.aliyuncs.com/api/v1",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (Wan 2.1 and 2.2 weights)",
        "b": "Closed model, used through the Gemini API and Google Cloud under Google's terms. The google-genai SDKs are Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-30",
        "b": "2026-11-05",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "2026-04-28",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "2026-10-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "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 66.4 (B) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community.",
        "question": "Which is better for AI agents, Alibaba Wan (Model Studio) or Gemini Omni 1.2 Flash?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Alibaba Wan (Model Studio) and Gemini Omni 1.2 Flash need an API key?"
      },
      {
        "answer": "Alibaba Wan (Model Studio) has a hosted endpoint at https://dashscope-intl.aliyuncs.com/api/v1. No hosted endpoint is listed for Gemini Omni 1.2 Flash.",
        "question": "Can an agent call Alibaba Wan (Model Studio) and Gemini Omni 1.2 Flash without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 70 against 45",
          "Agent ergonomics, 63 against 54",
          "Security \u0026 auth, 80 against 50",
          "Transparency \u0026 trust, 78 against 72"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "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": [
          "Maintenance \u0026 community, 83 against 77"
        ],
        "also": null,
        "goodFor": "Short product, ad and explainer clips with audio where an agent needs to revise a clip over several turns rather than regenerate it.",
        "slug": "gemini-omni-1-2-flash",
        "watchFor": "No free tier, per the pricing page"
      }
    ],
    "history": {
      "alibaba-wan": [
        {
          "causes": [
            "method"
          ],
          "date": "2026-11-13",
          "delta": 1.2,
          "from": 65.2,
          "fromGrade": "B",
          "to": 66.4,
          "toGrade": "B"
        },
        {
          "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"
        }
      ],
      "gemini-omni-1-2-flash": [
        {
          "causes": [
            "method"
          ],
          "date": "2026-11-13",
          "delta": 1.3,
          "from": 53.8,
          "fromGrade": "D",
          "to": 55.1,
          "toGrade": "C"
        }
      ]
    },
    "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": "https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp.json",
        "title": "Alibaba Wan (Model Studio) vs Magic Hour MCP",
        "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-minimax-video.json",
        "title": "Alibaba Wan (Model Studio) vs MiniMax Video API",
        "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-minimax-video"
      },
      {
        "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-openai-sora.json",
        "title": "Alibaba Wan (Model Studio) vs OpenAI Sora API",
        "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-openai-sora"
      },
      {
        "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-pika.json",
        "title": "Alibaba Wan (Model Studio) vs Pika API",
        "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-pika"
      },
      {
        "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-pixverse.json",
        "title": "Alibaba Wan (Model Studio) vs PixVerse API",
        "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-pixverse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-popcraft-mcp.json",
        "title": "Alibaba Wan (Model Studio) vs Popcraft MCP",
        "url": "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"
      },
      {
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    "panel": null,
    "scores": [
      {
        "alibaba-wan": 70,
        "by": 25,
        "edge": "alibaba-wan",
        "gemini-omni-1-2-flash": 45,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
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      {
        "alibaba-wan": 67,
        "by": 2,
        "edge": "gemini-omni-1-2-flash",
        "gemini-omni-1-2-flash": 69,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "alibaba-wan": 63,
        "by": 9,
        "edge": "alibaba-wan",
        "gemini-omni-1-2-flash": 54,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "alibaba-wan": 80,
        "by": 30,
        "edge": "alibaba-wan",
        "gemini-omni-1-2-flash": 50,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "alibaba-wan": 30,
        "by": 0,
        "edge": "",
        "gemini-omni-1-2-flash": 30,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "alibaba-wan": 77,
        "by": 6,
        "edge": "gemini-omni-1-2-flash",
        "gemini-omni-1-2-flash": 83,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "alibaba-wan": 78,
        "by": 6,
        "edge": "alibaba-wan",
        "gemini-omni-1-2-flash": 72,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Alibaba Wan (Model Studio) scores 66.4 (B) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community. Both do video generation.",
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        "cheaper": "gemini-omni-1-2-flash",
        "task": "Make a 30-second video clip",
        "what": "30 seconds of generated video"
      }
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    "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.",
      "gemini-omni-1-2-flash": "Google's generally available video model makes clips of up to 15 seconds with audio, edits them turn by turn and upscales drafts to 1080p or 4K, from $0.023 a second at 360p to $0.209 at 4K. It is paid only, the guide still describes Omni 1.1, and every quality claim is Google's."
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  "markdown": "Alibaba Wan (Model Studio) scores 66.4 (B) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community. Both do video generation.\n\n- Alibaba Wan (Model Studio): grade B, 66.4/100, rank #474 of 1524. Markdown https://www.anchorterminal.com/tools/alibaba-wan.md · JSON https://www.anchorterminal.com/api/v1/tools/alibaba-wan.json\n- Gemini Omni 1.2 Flash: grade C, 55.1/100, rank #972 of 1524. Markdown https://www.anchorterminal.com/tools/gemini-omni-1-2-flash.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-omni-1-2-flash.json\n- Best video generation for AI agents: https://www.anchorterminal.com/best/video-generation/index.md\n- All 203 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 45\n- Agent ergonomics, 63 against 54\n- Security \u0026 auth, 80 against 50\n- Transparency \u0026 trust, 78 against 72\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Result URLs and task ids expire after 24 hours\n\n### Gemini Omni 1.2 Flash (C)\n\nGood for: Short product, ad and explainer clips with audio where an agent needs to revise a clip over several turns rather than regenerate it.\n\nAhead on:\n- Maintenance \u0026 community, 83 against 77\n\nWatch for: No free tier, per the pricing page\n\n\n## Why the edge\n\n### Security \u0026 auth: Alibaba Wan (Model Studio) +30\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- Gemini Omni 1.2 Flash (50): Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). The pricing page, read on 11 November, lists no free tier for Omni 1.2 Flash, and paid-tier content isn't used to improve Google's products (15 of 20). Retention of generated videos isn't stated in the guide (5 of 15). Request logs described for Generate Content, not confirmed for Interactions video calls (10 of 15). security.txt and a reward programme, no certification naming the API (5 of 20). Outputs carry a SynthID watermark, and uploads of minors and some recognisable people are refused in the EEA, Switzerland and the UK. 15 + 15 + 5 + 10 + 5 = 50.\n\n### Reliability: Alibaba Wan (Model Studio) +25\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- Gemini Omni 1.2 Flash (45): Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Platform rate-limit tiers; the public rate-limit page has no Omni 1.2 row (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA read for the Gemini API route, and the Omni guide says provisioned throughput isn't supported there; Google's post puts it on Google Cloud (0). Google's post of 5 November says generally available, and the SDK commit marks the model GA (10). 10 + 5 + 5 + 15 + 0 + 10 = 45.\n\n### Agent ergonomics: Alibaba Wan (Model Studio) +9\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- Gemini Omni 1.2 Flash (54): Read on the lines the Veo listing used for video models. Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Per the Omni guide (written for 1.1 on the same API), the video comes back in the response, inline as base64 or as a Google-hosted file to poll until ACTIVE with delivery uri for outputs over 4 MB (12 of 15). No callback (0 of 10). Resolution, aspect ratio and delivery control output size, and edits run turn by turn through previous_interaction_id without regenerating from scratch (10). No list of past jobs found (0 of 10). Standard Google error statuses on the platform, with FAILED as the only Omni-specific state (12 of 14). No idempotency key, and whether failed generations are billed isn't stated (5 of 20). Only model and input are required, with 720p and 16:9 as defaults, and SDKs in five languages plus the CLI (15). 12 + 0 + 10 + 0 + 12 + 5 + 15 = 54.\n\n### Maintenance \u0026 community: Gemini Omni 1.2 Flash +6\n\n- Alibaba Wan (Model Studio) (77): Model reading (notice periods and churn in place of release counts). The `dashscope` SDK shipped 2.0.3 on 30 October 2026, after 1.27.8 (19 October), 2.0.1 (21 October) and 2.0.2 (27 October), and the Wan 3.0 API reference was updated on 15 October; the newest Wan model is still wan3.0-video-prime (20 August 2026) (30). The decommissioning policy (updated 27 October 2026) gives stable models, dated versions included, at least 3 months' notice before end of service and preview models 14 days, by announcement, email and internal message. Every Wan model on the pricing page of 29 October is still priced, none was found retired in the 90 days to 2 November, and the policy page's 10 October and 19 January 2027 batches link announcements that are drawn by script and unread. The preview window is short, so 15 of 20, as on 1 October. Dated model release page updated to 30 October, plus Alibaba Cloud ticket support (12 of 15). Current official SDK on PyPI (15). PyPI links no source repository or CI (5). 30+15+12+15+5 = 77.\n- Gemini Omni 1.2 Flash (83): Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released and generally available on 5 November 2026; the SDKs added it to the Interactions model list on 10 November (30). Deprecations with earliest dates and no stated minimum notice (4 of 12). Churn in Google's video line: every Veo model on the Gemini API shut down by 22 October, and from 3 December 2026 requests to Omni 1.1 Flash are routed to 1.2 Flash and billed at its rates, four weeks after this release (4 of 8). Dated SDK and platform changelogs (15). SDK replies not sampled (5 of 10). Current SDKs in five languages (15). Runtimes stated (10). 30 + 4 + 4 + 15 + 5 + 15 + 10 = 83.\n\n### Transparency \u0026 trust: Alibaba Wan (Model Studio) +6\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- Gemini Omni 1.2 Flash (72): Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Paid only, so content isn't used to improve products; video retention isn't stated (20 of 30). Deprecations table and a dated routing notice for Omni 1.1 Flash (15 of 20). Data may be processed anywhere Google has facilities on the Gemini API route; no subprocessor list checked (5 of 20). SynthID watermarking is disclosed, and Google names the cases it still handles poorly. 15 + 20 + 15 + 5 = 55.\n\n## Score by category\n\n| Category | Weight | Alibaba Wan (Model Studio) | Gemini Omni 1.2 Flash | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 45 | Alibaba Wan (Model Studio) +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 67 | 69 | Gemini Omni 1.2 Flash +2 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 54 | Alibaba Wan (Model Studio) +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 50 | Alibaba Wan (Model Studio) +30 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 30 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 83 | Gemini Omni 1.2 Flash +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 78 | 72 | Alibaba Wan (Model Studio) +6 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **66.4 · B** | **55.1 · C** | |\n\n## Facts side by side\n\n| Fact | Alibaba Wan (Model Studio) | Gemini Omni 1.2 Flash |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Alibaba Cloud | Google |\n| Hosted endpoint | `https://dashscope-intl.aliyuncs.com/api/v1` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (Wan 2.1 and 2.2 weights) | Closed model, used through the Gemini API and Google Cloud under Google's terms. The google-genai SDKs are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-30 | 2026-11-05 |\n| Terms last updated | couldn't be read | 2026-04-28 |\n| Privacy policy last updated | couldn't be read | 2026-10-01 |\n| Customer content may train models | couldn't be read | yes |\n| Terms restrict automated access | couldn't be read | yes |\n| Terms restrict benchmarking | couldn't be read | yes |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | not found in the text |\n| Popularity | 18k stars | none |\n| Agent reviews | 3.5/5 (2) | none |\n\n## What the same task costs\n\n| Task | Alibaba Wan (Model Studio) | Gemini Omni 1.2 Flash |\n| --- | --- | --- |\n| Make a 30-second video clip | $1.50 to $8.40 | $0.69 to $6.27 |\n\n## How the scores have moved\n\n### Alibaba Wan (Model Studio)\n\n- +1.2 on 13 November 2026: checklist\n- +0.1 on 28 October 2026: checklist\n- -0.3 on 8 October 2026: checklist\n\n### Gemini Omni 1.2 Flash\n\n- +1.3 on 13 November 2026 (D to C): checklist\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**Gemini Omni 1.2 Flash.** Google's generally available video model makes clips of up to 15 seconds with audio, edits them turn by turn and upscales drafts to 1080p or 4K, from $0.023 a second at 360p to $0.209 at 4K. It is paid only, the guide still describes Omni 1.1, and every quality claim is Google's.\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### Gemini Omni 1.2 Flash\n\n1. Call POST /v1beta/interactions with model gemini-omni-1.2-flash and response_format type video; Veo is gone from the Gemini API\n2. Set delivery to uri for clips over 4 MB and poll the file until ACTIVE; a later GET returns base64 only\n3. Edit with previous_interaction_id and leave store on, or the clip can't be edited in a later turn\n4. Set length in the prompt with timecodes such as [0-3s]; there is no duration field\n5. Draft at 360p or 720p and upscale only the keepers: 4K costs about nine times 360p\n\n## Questions\n\n### Which is better for AI agents, Alibaba Wan (Model Studio) or Gemini Omni 1.2 Flash?\n\nAlibaba Wan (Model Studio) scores 66.4 (B) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community.\n\n### Do Alibaba Wan (Model Studio) and Gemini Omni 1.2 Flash need an API key?\n\nBoth need an API key.\n\n### Can an agent call Alibaba Wan (Model Studio) and Gemini Omni 1.2 Flash without installing anything?\n\nAlibaba Wan (Model Studio) has a hosted endpoint at https://dashscope-intl.aliyuncs.com/api/v1. No hosted endpoint is listed for Gemini Omni 1.2 Flash.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/alibaba-wan-vs-gemini-omni-1-2-flash.json, and with the fewest tokens: https://www.anchorterminal.com/compare/alibaba-wan-vs-gemini-omni-1-2-flash.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"alibaba-wan\", \"b\": \"gemini-omni-1-2-flash\"}`. From a terminal: `anchor compare alibaba-wan gemini-omni-1-2-flash`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/alibaba-wan.json and https://www.anchorterminal.com/api/v1/tools/gemini-omni-1-2-flash.json\n\n## Other comparisons with Alibaba Wan (Model Studio) or Gemini Omni 1.2 Flash\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 Magic Hour MCP](https://www.anchorterminal.com/compare/alibaba-wan-vs-magic-hour-mcp.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 Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash.md)\n- [framefields vs Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash.md)\n- [Gemini Omni 1.2 Flash vs Google Veo](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-google-veo.md)\n- [Gemini Omni 1.2 Flash vs Higgsfield API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-higgsfield.md)\n- [Gemini Omni 1.2 Flash vs HyperFrames](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-hyperframes.md)\n- [Gemini Omni 1.2 Flash vs Kling AI API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-kling.md)\n- [Gemini Omni 1.2 Flash vs Luma AI API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-luma.md)\n- [Gemini Omni 1.2 Flash vs Magic Hour MCP](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-magic-hour-mcp.md)\n- [Gemini Omni 1.2 Flash vs MiniMax Video API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-minimax-video.md)\n- [Gemini Omni 1.2 Flash vs OpenAI Sora API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-openai-sora.md)\n- [Gemini Omni 1.2 Flash vs Pika API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-pika.md)\n- [Gemini Omni 1.2 Flash vs PixVerse API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-pixverse.md)\n- [Gemini Omni 1.2 Flash vs Popcraft MCP](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-popcraft-mcp.md)\n- [Gemini Omni 1.2 Flash vs Replicate video models](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-replicate-video.md)\n- [Gemini Omni 1.2 Flash vs Runway API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-runway.md)\n- [Gemini Omni 1.2 Flash vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-seedance-on-byteplus-modelark.md)\n- [Gemini Omni 1.2 Flash vs Vidu API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-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 Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/clueso-video-vs-gemini-omni-1-2-flash.md)\n- [Gemini Omni 1.2 Flash vs sync. labs MCP server](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-sync-labs-mcp.md)\n",
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