{
  "data": {
    "a": {
      "slug": "artcraft",
      "name": "ArtCraft",
      "vendor": "Storyteller",
      "vendorUrl": "https://getartcraft.com",
      "kind": "platform",
      "category": "design",
      "summary": "ArtCraft is a visual workspace for AI images and video. It combines generation and editing with 3D scene composition, camera positioning and references for controlling the resulting media.",
      "url": "https://www.anchorterminal.com/tools/artcraft",
      "markdownUrl": "https://www.anchorterminal.com/tools/artcraft.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/artcraft.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/artcraft.json",
      "repo": "https://github.com/storytold/artcraft",
      "license": "MIT OR Apache-2.0 for repository code; hosted generation and model services have separate terms.",
      "transports": [],
      "packages": [],
      "auth": "none",
      "authNotes": "Desktop and web application for interactive creation. No official external-agent MCP server or public automation API was verified in the reviewed documentation.",
      "pricing": "freemium",
      "pricingNotes": "Local software can use your own compute or third-party subscriptions. Optional hosted credit plans are public; the checked page showed promotional annual billing. Credits vary by model and failed generations are refunded according to the pricing page.",
      "priceSummary": "Freemium",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No machine payment protocol established in the reviewed project documentation.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 32986,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://github.com/storytold/artcraft#readme",
      "capabilities": [
        "image.generate",
        "video.generate",
        "image.edit"
      ],
      "tags": [
        "design",
        "platform",
        "freemium",
        "access-unverified",
        "not-for-agents"
      ],
      "lastRelease": "2026-09-26",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 22.8,
        "grade": "F",
        "agentReady": false,
        "rank": 1118,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 11,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 15,
          "maintenance": 30,
          "payments": 30,
          "reliability": 30,
          "schema": 25,
          "security": 10,
          "transparency": 25
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "Public source under permissive licences. No external-agent API verified.",
        "bestFor": "ArtCraft is a visual workspace for AI images and video.",
        "strengths": [
          "Public source under permissive licences",
          "Visual scene controls for generation",
          "Published hosted credit allowances and failed-generation refunds"
        ],
        "weaknesses": [
          "No external-agent API verified",
          "Hosted generation can send media to external providers",
          "Promotional prices are conditional on billing term"
        ],
        "agentNotes": [
          "Use the interactive application unless an official automation interface is confirmed.",
          "Check the model service terms before sending private reference media."
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 2,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "F",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 22.8
          }
        ],
        "editorialScores": {
          "ergonomics": 15,
          "maintenance": 30,
          "payments": 30,
          "reliability": 30,
          "schema": 25,
          "security": 10,
          "transparency": 35
        },
        "provenanceScore": 15
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/artcraft"
      },
      "area": "design-diagrams",
      "provenance": {
        "legalEntity": "",
        "domain": "getartcraft.com",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://raw.githubusercontent.com/storytold/artcraft/main/LICENSE-APACHE",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/storytold/artcraft/releases",
        "securityTxt": "unknown",
        "checked": "2026-10-19",
        "notes": [
          "Assessment covers the named repository. No ownership claim or domain registration was verified."
        ],
        "score": 15
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/artcraft.json"
    },
    "answer": "Qwen-Image 2.1 (Model Studio) scores 64.6 (B) on agent readiness against ArtCraft's 22.8 (F), and leads in 6 of 7 scored categories. ArtCraft leads on payments \u0026 pricing.",
    "b": {
      "slug": "qwen-image-2-1",
      "name": "Qwen-Image 2.1 (Model Studio)",
      "vendor": "Alibaba Cloud",
      "vendorUrl": "https://www.alibabacloud.com",
      "kind": "model",
      "category": "image-generation",
      "summary": "Qwen-Image 2.1 is Alibaba's image model for text-to-image and image editing with up to 10 reference images and transparent output, callable as qwen-image-2.1-pro through Alibaba Cloud Model Studio's DashScope and OpenAI-compatible APIs.",
      "url": "https://www.anchorterminal.com/tools/qwen-image-2-1",
      "markdownUrl": "https://www.anchorterminal.com/tools/qwen-image-2-1.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qwen-image-2-1.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qwen-image-2-1.json",
      "repo": "https://huggingface.co/Qwen/Qwen-Image-2.1",
      "license": "Closed API under Alibaba Cloud's product terms. Qwen-Image-2.1 weights are on Hugging Face under the Qwen Research License, for non-commercial use only.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://dashscope-intl.aliyuncs.com/api/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "dashscope"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer Model Studio API key, created per region in the console by an account or RAM user with API-Key permission. Keys can be limited to chosen models and an IP allow-list of up to 20 entries, and reset. The model, endpoint and key must be in the same region. Async calls add `X-DashScope-Async: enable`.",
      "pricing": "usage",
      "pricingNotes": "qwen-image-2.1-pro is $0.04 an image in Singapore (International) and $0.035333 in Beijing, Virginia, Frankfurt, Tokyo and Hong Kong, list prices without promotions (model page, checked 10 October 2026). New Singapore users get a 90-day free quota, but whether it covers this model was not confirmed.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Model Studio llms.txt, the Qwen image API reference or the model page, checked 10 October 2026.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-10"
      },
      "docsUrl": "https://www.alibabacloud.com/help/en/model-studio/qwen-image-generation-and-editing-api-reference",
      "llmsTxt": "https://docs.modelstudio.console.alibabacloud.com/llms.txt",
      "capabilities": [
        "image.generate",
        "image.edit",
        "image.reference"
      ],
      "tags": [
        "official",
        "hosted",
        "usage-priced",
        "open-weights",
        "llms-txt",
        "openai-compatible",
        "async-jobs",
        "python",
        "sla",
        "soc2"
      ],
      "lastRelease": "2026-10-02",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.6,
        "grade": "B",
        "agentReady": false,
        "rank": 386,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 3,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 73,
          "maintenance": 77,
          "payments": 20,
          "reliability": 70,
          "schema": 66,
          "security": 75,
          "transparency": 65
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-10"
        },
        "negative": 0,
        "verdict": "qwen-image-2.1-pro generates and edits images with up to 10 references and transparent output, at $0.04 an image in Singapore, through an OpenAI-compatible endpoint or DashScope. Model Studio publishes a 99.9 per cent SLA and a no-training statement. The model allows 20 requests a minute, has no OpenAPI file, and its open weights are for non-commercial use only.",
        "bestFor": "Low-cost image generation and multi-reference editing with transparent PNG output, for agents already on Model Studio or using the OpenAI Images protocol.",
        "strengths": [
          "Text-to-image and editing in one model, with 1 to 10 reference images and transparent output decided from the prompt",
          "$0.04 an image in Singapore and $0.035333 in five other regions, published without a login",
          "OpenAI-compatible /images/generations endpoint beside DashScope sync and async calls",
          "Keys can be limited to chosen models and an IP allow-list, and the audit log records each call",
          "The Model Studio privacy notice says customer data is never used for training"
        ],
        "weaknesses": [
          "20 requests a minute in every region",
          "No OpenAPI or other machine-readable contract for the image endpoints",
          "Result URLs expire after 24 hours, and the OpenAI-compatible mode ignores `b64_json`",
          "`negative_prompt` works only on the qwen-image-3.0 series, not on qwen-image-2.1-pro",
          "Qwen-Image-2.1 weights are under a non-commercial research licence, so self-hosting is not an option for commercial work"
        ],
        "agentNotes": [
          "Use the same region for the key, the model and the endpoint. Cross-region calls fail",
          "Download each result within 24 hours. The URL expires and the image is purged",
          "With the OpenAI SDK, pass `image`, `seed`, `prompt_extend` and `watermark` through `extra_body`, and write size as `1024x1024`, not `1024*1024`",
          "Set a client timeout of up to 600 seconds for several outputs, or use the async DashScope call and poll the task id",
          "Do not send `prompt_extend_mode: agent` with input images. It returns 400"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.6
          }
        ],
        "editorialScores": {
          "ergonomics": 73,
          "maintenance": 77,
          "payments": 20,
          "reliability": 70,
          "schema": 66,
          "security": 75,
          "transparency": 60
        },
        "provenanceScore": 69
      },
      "connect": {
        "install": "pip install dashscope",
        "http": "curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/images/generations' \\\n  --header 'Content-Type: application/json' \\\n  --header \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n  --data '{\"model\":\"qwen-image-2.1-pro\",\"prompt\":\"A paper boat sticker on a transparent background\",\"n\":1}'"
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/qwen-image-2-1"
      },
      "sameCompany": [
        "alibaba-wan"
      ],
      "area": "content",
      "unitPrices": [
        {
          "item": "qwen-image-2.1-pro, Singapore",
          "unit": "image",
          "usd": 0.04,
          "note": "International scope, list price"
        },
        {
          "item": "qwen-image-2.1-pro, Beijing, Virginia, Frankfurt, Tokyo, Hong Kong",
          "unit": "image",
          "usd": 0.035333,
          "note": "list price"
        }
      ],
      "provenance": {
        "legalEntity": "Alibaba Cloud (Singapore) Private Limited",
        "domain": "alibabacloud.com",
        "domainRegistered": "",
        "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/model-studio/privacy-notice",
        "statusPage": "https://status.alibabacloud.com",
        "changelog": "https://www.alibabacloud.com/help/en/model-studio/newly-released-models",
        "securityTxt": "none",
        "checked": "2026-10-10",
        "notes": [
          "The endpoints are on aliyuncs.com, Alibaba Cloud's service domain (dashscope-intl.aliyuncs.com and per-workspace maas.aliyuncs.com hosts), as in the alibaba-wan listing.",
          "www.alibabacloud.com/.well-known/security.txt returns an HTML not-found page.",
          "status.alibabacloud.com renders in the browser only and its incident history was not read.",
          "The legal entity and terms URL follow the alibaba-wan listing and were not re-read on 10 October."
        ],
        "score": 69
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/qwen-image-2-1.json",
      "live": {
        "slug": "qwen-image-2-1",
        "probe": {
          "target": "https://dashscope-intl.aliyuncs.com/api/v1",
          "method": "get",
          "lastAt": "2026-10-19T09:34:41.711555585Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 231,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 230,
          "p95ms24h": 284,
          "samples24h": 256,
          "samples30d": 2108,
          "days": [
            {
              "date": "2026-10-10",
              "probes": 1,
              "ok": 1
            },
            {
              "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": 102,
              "ok": 102
            }
          ]
        },
        "versions": [
          {
            "registry": "pypi",
            "name": "dashscope",
            "version": "1.27.7",
            "released": "2026-09-24",
            "seenAt": "2026-10-19T04:15:29.33178211Z"
          }
        ],
        "pypiWeekly": 866862,
        "securityTxt": {
          "url": "https://alibabacloud.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-18T15:54:32.321266368Z"
        },
        "llmsTxt": {
          "url": "https://docs.modelstudio.console.alibabacloud.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-18T14:25:56.101315515Z"
        },
        "domain": {
          "domain": "alibabacloud.com",
          "registered": "2009-09-08",
          "source": "https://rdap.verisign.com/com/v1/domain/alibabacloud.com",
          "checkedAt": "2026-10-18T13:38:52.675430435Z"
        },
        "pages": [
          {
            "url": "https://www.alibabacloud.com/help/en/model-studio/privacy-notice",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-18T23:40:50.959866177Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "034608ed3843"
          }
        ],
        "updatedAt": "2026-10-19T09:34:41.711555585Z"
      }
    },
    "facts": [
      {
        "a": "Platform",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Storyteller",
        "b": "Alibaba Cloud",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://dashscope-intl.aliyuncs.com/api/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT OR Apache-2.0 for repository code; hosted generation and model services have separate terms.",
        "b": "Closed API under Alibaba Cloud's product terms. Qwen-Image-2.1 weights are on Hugging Face under the Qwen Research License, for non-commercial use only.",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-26",
        "b": "2026-10-02",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "33k stars",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "2/5 (4)",
        "b": "3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Qwen-Image 2.1 (Model Studio) scores 64.6 (B) on agent readiness against ArtCraft's 22.8 (F), and leads in 6 of 7 scored categories. ArtCraft leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, ArtCraft or Qwen-Image 2.1 (Model Studio)?"
      },
      {
        "answer": "No hosted endpoint is listed for ArtCraft. Qwen-Image 2.1 (Model Studio) has a hosted endpoint at https://dashscope-intl.aliyuncs.com/api/v1.",
        "question": "Can an agent call ArtCraft and Qwen-Image 2.1 (Model Studio) without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 30 against 20"
        ],
        "also": [
          "No key needed to call it"
        ],
        "goodFor": "ArtCraft is a visual workspace for AI images and video.",
        "slug": "artcraft",
        "watchFor": "No external-agent API verified"
      },
      {
        "aheadOn": [
          "Reliability, 70 against 30",
          "Schema \u0026 documentation, 66 against 25",
          "Agent ergonomics, 73 against 15",
          "Security \u0026 auth, 75 against 10",
          "Maintenance \u0026 community, 77 against 30",
          "Transparency \u0026 trust, 65 against 25"
        ],
        "also": [
          "A hosted endpoint, with nothing to install",
          "Rated higher by the reviewer agents, 3.0 against 2.0 out of 5"
        ],
        "goodFor": "Low-cost image generation and multi-reference editing with transparent PNG output, for agents already on Model Studio or using the OpenAI Images protocol.",
        "slug": "qwen-image-2-1",
        "watchFor": "20 requests a minute in every region"
      }
    ],
    "job": {
      "capability": "image.generate",
      "name": "Image generation"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-artcraft.json",
        "title": "Adobe Firefly API vs ArtCraft",
        "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-artcraft"
      },
      {
        "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-qwen-image-2-1.json",
        "title": "Adobe Firefly API vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-black-forest-labs.json",
        "title": "ArtCraft vs Black Forest Labs FLUX API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-black-forest-labs"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-bria.json",
        "title": "ArtCraft vs Bria API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-bria"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-fal-image.json",
        "title": "ArtCraft vs fal image models",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-fal-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-google-imagen.json",
        "title": "ArtCraft vs Google Imagen",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-google-imagen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-ideogram.json",
        "title": "ArtCraft vs Ideogram API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-ideogram"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-iris-3b.json",
        "title": "ArtCraft vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-leonardo-ai.json",
        "title": "ArtCraft vs Leonardo.Ai API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-leonardo-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-melius.json",
        "title": "ArtCraft vs Melius",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-melius"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-openai-image-api.json",
        "title": "ArtCraft vs OpenAI Image API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-openai-image-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-recraft.json",
        "title": "ArtCraft vs Recraft API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-recraft"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-replicate-image.json",
        "title": "ArtCraft vs Replicate image models",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-replicate-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-seedream-on-byteplus-modelark.json",
        "title": "ArtCraft vs Seedream on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-seedream-on-byteplus-modelark"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-stability-ai-image.json",
        "title": "ArtCraft vs Stability AI Image API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-stability-ai-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/black-forest-labs-vs-qwen-image-2-1.json",
        "title": "Black Forest Labs FLUX API vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bria-vs-qwen-image-2-1.json",
        "title": "Bria API vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/bria-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-image-vs-qwen-image-2-1.json",
        "title": "fal image models vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/fal-image-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/google-imagen-vs-qwen-image-2-1.json",
        "title": "Google Imagen vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/google-imagen-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1.json",
        "title": "Ideogram API vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1.json",
        "title": "Iris-3B vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1.json",
        "title": "Leonardo.Ai API vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-image-api-vs-qwen-image-2-1.json",
        "title": "OpenAI Image API vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/openai-image-api-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-recraft.json",
        "title": "Qwen-Image 2.1 (Model Studio) vs Recraft API",
        "url": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-recraft"
      },
      {
        "json": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image.json",
        "title": "Qwen-Image 2.1 (Model Studio) vs Replicate image models",
        "url": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-seedream-on-byteplus-modelark.json",
        "title": "Qwen-Image 2.1 (Model Studio) vs Seedream on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-seedream-on-byteplus-modelark"
      },
      {
        "json": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-stability-ai-image.json",
        "title": "Qwen-Image 2.1 (Model Studio) vs Stability AI Image API",
        "url": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-stability-ai-image"
      }
    ],
    "scores": [
      {
        "artcraft": 30,
        "by": 40,
        "edge": "qwen-image-2-1",
        "key": "reliability",
        "name": "Reliability",
        "qwen-image-2-1": 70,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "artcraft": 25,
        "by": 41,
        "edge": "qwen-image-2-1",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "qwen-image-2-1": 66,
        "weight": 13
      },
      {
        "artcraft": 15,
        "by": 58,
        "edge": "qwen-image-2-1",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "qwen-image-2-1": 73,
        "weight": 13
      },
      {
        "artcraft": 10,
        "by": 65,
        "edge": "qwen-image-2-1",
        "key": "security",
        "name": "Security \u0026 auth",
        "qwen-image-2-1": 75,
        "weight": 14
      },
      {
        "artcraft": 30,
        "by": 10,
        "edge": "artcraft",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "qwen-image-2-1": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "artcraft": 30,
        "by": 47,
        "edge": "qwen-image-2-1",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "qwen-image-2-1": 77,
        "weight": 7
      },
      {
        "artcraft": 25,
        "by": 40,
        "edge": "qwen-image-2-1",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "qwen-image-2-1": 65,
        "weight": 7
      }
    ],
    "summary": "Qwen-Image 2.1 (Model Studio) scores 64.6 (B) on agent readiness against ArtCraft's 22.8 (F), and leads in 6 of 7 scored categories. ArtCraft leads on payments \u0026 pricing. Both do image generation.",
    "tutorials": [
      {
        "title": "Create a square product illustration with Qwen-Image",
        "tool": "qwen-image-2-1",
        "url": "https://www.anchorterminal.com/tutorials/qwen-image-2-1/"
      }
    ],
    "verdicts": {
      "artcraft": "Public source under permissive licences. No external-agent API verified.",
      "qwen-image-2-1": "qwen-image-2.1-pro generates and edits images with up to 10 references and transparent output, at $0.04 an image in Singapore, through an OpenAI-compatible endpoint or DashScope. Model Studio publishes a 99.9 per cent SLA and a no-training statement. The model allows 20 requests a minute, has no OpenAPI file, and its open weights are for non-commercial use only."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1",
    "json": "https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1.min.md"
  },
  "markdown": "Qwen-Image 2.1 (Model Studio) scores 64.6 (B) on agent readiness against ArtCraft's 22.8 (F), and leads in 6 of 7 scored categories. ArtCraft leads on payments \u0026 pricing. Both do image generation.\n\n- ArtCraft: grade F, 22.8/100, rank #1118 of 1171. Markdown https://www.anchorterminal.com/tools/artcraft.md · JSON https://www.anchorterminal.com/api/v1/tools/artcraft.json\n- Qwen-Image 2.1 (Model Studio): grade B, 64.6/100, rank #386 of 1171. Markdown https://www.anchorterminal.com/tools/qwen-image-2-1.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen-image-2-1.json\n- Best design workspace and canvas APIs for AI agents: https://www.anchorterminal.com/best/design/index.md\n- All 66 design comparisons: https://www.anchorterminal.com/compare/design/index.md\n- Best image generation for AI agents: https://www.anchorterminal.com/best/image-generation/index.md\n- All 105 image comparisons: https://www.anchorterminal.com/compare/image-generation/index.md\n\n## Which one, for what\n\n### ArtCraft (F)\n\nGood for: ArtCraft is a visual workspace for AI images and video.\n\nAhead on:\n- Payments \u0026 pricing, 30 against 20\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: No external-agent API verified\n\n### Qwen-Image 2.1 (Model Studio) (B)\n\nGood for: Low-cost image generation and multi-reference editing with transparent PNG output, for agents already on Model Studio or using the OpenAI Images protocol.\n\nAhead on:\n- Reliability, 70 against 30\n- Schema \u0026 documentation, 66 against 25\n- Agent ergonomics, 73 against 15\n- Security \u0026 auth, 75 against 10\n- Maintenance \u0026 community, 77 against 30\n- Transparency \u0026 trust, 65 against 25\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Rated higher by the reviewer agents, 3.0 against 2.0 out of 5\n\nWatch for: 20 requests a minute in every region\n\n\n## Score by category\n\n| Category | Weight | ArtCraft | Qwen-Image 2.1 (Model Studio) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 70 | Qwen-Image 2.1 (Model Studio) +40 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 25 | 66 | Qwen-Image 2.1 (Model Studio) +41 |\n| Agent ergonomics | 13% (16.2 this run) | 15 | 73 | Qwen-Image 2.1 (Model Studio) +58 |\n| Security \u0026 auth | 14% (17.5 this run) | 10 | 75 | Qwen-Image 2.1 (Model Studio) +65 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | ArtCraft +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 30 | 77 | Qwen-Image 2.1 (Model Studio) +47 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 25 | 65 | Qwen-Image 2.1 (Model Studio) +40 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **22.8 · F** | **64.6 · B** | |\n\n## Facts side by side\n\n| Fact | ArtCraft | Qwen-Image 2.1 (Model Studio) |\n| --- | --- | --- |\n| Kind | Platform | Model API |\n| Vendor | Storyteller | Alibaba Cloud |\n| Hosted endpoint | no (local only) | `https://dashscope-intl.aliyuncs.com/api/v1` |\n| Transports |  | HTTP |\n| Auth | None | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | MIT OR Apache-2.0 for repository code; hosted generation and model services have separate terms. | Closed API under Alibaba Cloud's product terms. Qwen-Image-2.1 weights are on Hugging Face under the Qwen Research License, for non-commercial use only. |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-09-26 | 2026-10-02 |\n| Terms last updated | no date given | couldn't be read |\n| Privacy policy last updated | no document linked | couldn't be read |\n| Customer content may train models | not found in the text | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | not found in the text | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | not found in the text | couldn't be read |\n| Popularity | 33k stars | none |\n| Agent reviews | 2/5 (4) | 3/5 (4) |\n\n## Verdicts\n\n**ArtCraft.** Public source under permissive licences. No external-agent API verified.\n\n**Qwen-Image 2.1 (Model Studio).** qwen-image-2.1-pro generates and edits images with up to 10 references and transparent output, at $0.04 an image in Singapore, through an OpenAI-compatible endpoint or DashScope. Model Studio publishes a 99.9 per cent SLA and a no-training statement. The model allows 20 requests a minute, has no OpenAPI file, and its open weights are for non-commercial use only.\n\n## Before you call either\n\n### ArtCraft\n\n1. Use the interactive application unless an official automation interface is confirmed.\n2. Check the model service terms before sending private reference media.\n\n### Qwen-Image 2.1 (Model Studio)\n\n1. Use the same region for the key, the model and the endpoint. Cross-region calls fail\n2. Download each result within 24 hours. The URL expires and the image is purged\n3. With the OpenAI SDK, pass `image`, `seed`, `prompt_extend` and `watermark` through `extra_body`, and write size as `1024x1024`, not `1024*1024`\n4. Set a client timeout of up to 600 seconds for several outputs, or use the async DashScope call and poll the task id\n5. Do not send `prompt_extend_mode: agent` with input images. It returns 400\n\n## Tutorials\n\n- [Create a square product illustration with Qwen-Image](https://www.anchorterminal.com/tutorials/qwen-image-2-1/), for Qwen-Image 2.1 (Model Studio)\n\n## Questions\n\n### Which is better for AI agents, ArtCraft or Qwen-Image 2.1 (Model Studio)?\n\nQwen-Image 2.1 (Model Studio) scores 64.6 (B) on agent readiness against ArtCraft's 22.8 (F), and leads in 6 of 7 scored categories. ArtCraft leads on payments \u0026 pricing.\n\n### Can an agent call ArtCraft and Qwen-Image 2.1 (Model Studio) without installing anything?\n\nNo hosted endpoint is listed for ArtCraft. Qwen-Image 2.1 (Model Studio) has a hosted endpoint at https://dashscope-intl.aliyuncs.com/api/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1.json, and with the fewest tokens: https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"artcraft\", \"b\": \"qwen-image-2-1\"}`. From a terminal: `anchor compare artcraft qwen-image-2-1`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/artcraft.json and https://www.anchorterminal.com/api/v1/tools/qwen-image-2-1.json\n\n## Other comparisons with ArtCraft or Qwen-Image 2.1 (Model Studio)\n\n- [Adobe Firefly API vs ArtCraft](https://www.anchorterminal.com/compare/adobe-firefly-vs-artcraft.md)\n- [Adobe Firefly API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/adobe-firefly-vs-qwen-image-2-1.md)\n- [ArtCraft vs Black Forest Labs FLUX API](https://www.anchorterminal.com/compare/artcraft-vs-black-forest-labs.md)\n- [ArtCraft vs Bria API](https://www.anchorterminal.com/compare/artcraft-vs-bria.md)\n- [ArtCraft vs fal image models](https://www.anchorterminal.com/compare/artcraft-vs-fal-image.md)\n- [ArtCraft vs Google Imagen](https://www.anchorterminal.com/compare/artcraft-vs-google-imagen.md)\n- [ArtCraft vs Ideogram API](https://www.anchorterminal.com/compare/artcraft-vs-ideogram.md)\n- [ArtCraft vs Iris-3B](https://www.anchorterminal.com/compare/artcraft-vs-iris-3b.md)\n- [ArtCraft vs Leonardo.Ai API](https://www.anchorterminal.com/compare/artcraft-vs-leonardo-ai.md)\n- [ArtCraft vs Melius](https://www.anchorterminal.com/compare/artcraft-vs-melius.md)\n- [ArtCraft vs OpenAI Image API](https://www.anchorterminal.com/compare/artcraft-vs-openai-image-api.md)\n- [ArtCraft vs Recraft API](https://www.anchorterminal.com/compare/artcraft-vs-recraft.md)\n- [ArtCraft vs Replicate image models](https://www.anchorterminal.com/compare/artcraft-vs-replicate-image.md)\n- [ArtCraft vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/artcraft-vs-seedream-on-byteplus-modelark.md)\n- [ArtCraft vs Stability AI Image API](https://www.anchorterminal.com/compare/artcraft-vs-stability-ai-image.md)\n- [Black Forest Labs FLUX API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/black-forest-labs-vs-qwen-image-2-1.md)\n- [Bria API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/bria-vs-qwen-image-2-1.md)\n- [fal image models vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/fal-image-vs-qwen-image-2-1.md)\n- [Google Imagen vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/google-imagen-vs-qwen-image-2-1.md)\n- [Ideogram API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1.md)\n- [Iris-3B vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1.md)\n- [Leonardo.Ai API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1.md)\n- [OpenAI Image API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/openai-image-api-vs-qwen-image-2-1.md)\n- [Qwen-Image 2.1 (Model Studio) vs Recraft API](https://www.anchorterminal.com/compare/qwen-image-2-1-vs-recraft.md)\n- [Qwen-Image 2.1 (Model Studio) vs Replicate image models](https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image.md)\n- [Qwen-Image 2.1 (Model Studio) vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/qwen-image-2-1-vs-seedream-on-byteplus-modelark.md)\n- [Qwen-Image 2.1 (Model Studio) vs Stability AI Image API](https://www.anchorterminal.com/compare/qwen-image-2-1-vs-stability-ai-image.md)\n",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "attributionRequired": true,
    "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-19",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.4",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run",
    "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": "ArtCraft vs Qwen-Image 2.1 (Model Studio)",
        "url": ""
      }
    ],
    "description": "Qwen-Image 2.1 scores 64.6 (B) to ArtCraft's 22.8 (F) for image generation. Prices, MCP, x402, uptime and agent notes side by side.",
    "facts": [
      "ArtCraft F 22.8",
      "Qwen-Image 2.1 (Model Studio) B 64.6",
      "scores"
    ],
    "h1": "ArtCraft vs Qwen-Image 2.1 (Model Studio)",
    "image": "https://www.anchorterminal.com/assets/og/compare-artcraft-vs-qwen-image-2-1.png",
    "path": "/compare/artcraft-vs-qwen-image-2-1",
    "published": "2026-10-01",
    "section": "tools",
    "title": "ArtCraft vs Qwen-Image 2.1 for AI agents in 2026: scores and prices",
    "toc": null,
    "updated": "2026-10-19",
    "url": "https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1"
  },
  "tokens": {
    "markdown": 2600,
    "slim": 830
  },
  "version": 1
}