{
  "data": {
    "a": {
      "slug": "ideogram",
      "name": "Ideogram API",
      "vendor": "Ideogram",
      "vendorUrl": "https://ideogram.ai",
      "kind": "model",
      "category": "image-generation",
      "summary": "Ideogram's API for generating images, including images containing text.",
      "url": "https://www.anchorterminal.com/tools/ideogram",
      "markdownUrl": "https://www.anchorterminal.com/tools/ideogram.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ideogram.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ideogram.json",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.ideogram.ai/v1",
      "packages": [],
      "auth": "mixed",
      "authNotes": "REST API takes the key in an `Api-Key` header. The key is shown once. Requests return 402 until the account has a payment method and credit. The hosted MCP server at mcp.ideogram.ai uses OAuth with an Ideogram account.",
      "pricing": "usage",
      "pricingNotes": "Prepaid API credit, separate from Ideogram app subscriptions. One-time top-ups of $10 to $300, balance capped at $300, with optional auto-recharge. Ideogram 4.0 costs $0.03 Turbo, $0.06 Default and $0.10 Quality per image. P-Image-Ideogram runs about $0.003 to $0.015 per 1K image by quality, $0.033 at Very High. Each returned image is billed separately (https://ideogram.ai/features/api-pricing, https://developer.ideogram.ai/ideogram-api/api-setup).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Access needs prepaid credit and a card on file.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://developer.ideogram.ai",
      "llmsTxt": "https://developer.ideogram.ai/llms.txt",
      "openapi": "https://developer.ideogram.ai/openapi.json",
      "capabilities": [
        "image.generate",
        "image.edit",
        "image.upscale",
        "image.reference"
      ],
      "tags": [
        "hosted",
        "card-required",
        "mcp",
        "llms-txt",
        "openapi",
        "async-jobs",
        "webhooks",
        "open-weights",
        "closed-source"
      ],
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 50,
        "grade": "D",
        "agentReady": false,
        "rank": 787,
        "ranked": true,
        "rankOf": 961,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 18,
          "payments": 20,
          "reliability": 65,
          "schema": 76,
          "security": 35,
          "transparency": 48
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Text rendering and layout control are the model's focus. Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September.",
        "bestFor": "Images with text in them, such as posters, ads and packaging.",
        "strengths": [
          "Text rendering and layout control are the model's focus",
          "Flat per-image prices for Ideogram 4.0, $0.03 to $0.10",
          "Async endpoints with signed webhooks",
          "OpenAPI spec, llms.txt and Markdown versions of every docs page",
          "No training on API inputs or outputs unless flagged under the usage policies"
        ],
        "weaknesses": [
          "Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September",
          "No changelog, so model and endpoint changes aren't dated anywhere public",
          "No security.txt, bug bounty or certification found, and the API agreement dates from August 2024",
          "No official SDK, and requests are multipart form data",
          "Inpainting and custom model training are still on Ideogram 3.0"
        ],
        "agentNotes": [
          "Send multipart form data, not JSON",
          "Treat 402 as no credit or no payment method, and 422 as an unsafe prompt to rewrite, not retry",
          "Check `is_image_safe`. When it's false the `url` is empty",
          "Download images straight away, the links expire",
          "Use the `/async/` variants with `webhook_url` for batches and verify the Ed25519 signature"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 50
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 18,
          "payments": 20,
          "reliability": 65,
          "schema": 76,
          "security": 35,
          "transparency": 32
        },
        "provenanceScore": 64
      },
      "connect": {
        "http": "curl -X POST https://api.ideogram.ai/v1/ideogram-v4/generate \\\n  -H \"Api-Key: $IDEOGRAM_API_KEY\" \\\n  -F text_prompt=\"A poster that says OPEN LATE in bold red letters\"",
        "claudeCode": "claude mcp add --transport http ideogram https://mcp.ideogram.ai/mcp"
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/ideogram"
      },
      "area": "content",
      "unitPrices": [
        {
          "item": "Ideogram 4.0 Turbo",
          "unit": "image",
          "usd": 0.03
        },
        {
          "item": "Ideogram 4.0 Default",
          "unit": "image",
          "usd": 0.06,
          "note": "default rendering speed"
        },
        {
          "item": "Ideogram 4.0 Quality",
          "unit": "image",
          "usd": 0.1
        },
        {
          "item": "P-Image-Ideogram Very High",
          "unit": "image",
          "usd": 0.033,
          "note": "1K resolution"
        }
      ],
      "provenance": {
        "legalEntity": "Ideogram AI, Inc.",
        "domain": "ideogram.ai",
        "domainRegistered": "2023-02-28",
        "endpointOnVendorDomain": true,
        "terms": "https://ideogram.ai/legal/api-tos",
        "privacy": "https://ideogram.ai/legal/privacy/",
        "statusPage": "https://status.ideogram.ai",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The Developer API Agreement names Ideogram AI, Inc. The site footer says Ideogram, Inc."
        ],
        "score": 64
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/ideogram.json",
      "live": {
        "slug": "ideogram",
        "probe": {
          "target": "https://api.ideogram.ai/v1",
          "method": "get",
          "lastAt": "2026-10-11T02:46:28.792715285Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 155,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 99.96,
          "p50ms24h": 160,
          "p95ms24h": 242,
          "samples24h": 248,
          "samples30d": 2712,
          "days": [
            {
              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 247
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 29,
              "ok": 29
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.ideogram.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-11T02:40:57.913793376Z"
        },
        "securityTxt": {
          "url": "https://ideogram.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-10T15:41:27.56585442Z"
        },
        "llmsTxt": {
          "url": "https://developer.ideogram.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-10T14:04:28.409653576Z"
        },
        "domain": {
          "domain": "ideogram.ai",
          "registered": "2023-02-28",
          "source": "https://rdap.identitydigital.services/rdap/domain/ideogram.ai",
          "checkedAt": "2026-10-04T13:07:58.912971745Z"
        },
        "pages": [
          {
            "url": "https://ideogram.ai/features/api-pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-10T19:04:40.157214033Z",
            "changedAt": "2026-10-02T15:21:26.123073336Z",
            "fingerprint": "8eda804d1edb"
          },
          {
            "url": "https://ideogram.ai/legal/privacy/",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-10T19:04:44.414860798Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "81198a993567"
          },
          {
            "url": "https://ideogram.ai/legal/api-tos",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-10T19:04:42.429652177Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "b978e7fe076c"
          }
        ],
        "updatedAt": "2026-10-11T02:46:28.792715285Z"
      }
    },
    "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Ideogram API's 50 (D), and leads in 5 of 7 scored categories. Ideogram API leads on schema \u0026 documentation.",
    "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": 64.7,
        "grade": "B",
        "agentReady": false,
        "rank": 347,
        "ranked": true,
        "rankOf": 961,
        "categoryRank": 3,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 73,
          "maintenance": 77,
          "payments": 20,
          "reliability": 70,
          "schema": 66,
          "security": 75,
          "transparency": 66
        },
        "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": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.7
          }
        ],
        "editorialScores": {
          "ergonomics": 73,
          "maintenance": 77,
          "payments": 20,
          "reliability": 70,
          "schema": 66,
          "security": 75,
          "transparency": 60
        },
        "provenanceScore": 72
      },
      "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": 72
      },
      "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": "2026-10-11T02:46:38.126307135Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 232,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 170,
          "p95ms24h": 246,
          "samples24h": 30,
          "samples30d": 30,
          "days": [
            {
              "date": "2026-10-10",
              "probes": 1,
              "ok": 1
            },
            {
              "date": "2026-10-11",
              "probes": 29,
              "ok": 29
            }
          ]
        },
        "updatedAt": "2026-10-11T02:46:38.126307135Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Ideogram",
        "b": "Alibaba Cloud",
        "name": "Vendor"
      },
      {
        "a": "https://api.ideogram.ai/v1",
        "b": "https://dashscope-intl.aliyuncs.com/api/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "none",
        "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": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "none",
        "b": "2026-10-02",
        "name": "Last release"
      },
      {
        "a": "2024-08-14",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "2025-01-15",
        "b": "",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "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": "yes",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "3.5/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Ideogram API's 50 (D), and leads in 5 of 7 scored categories. Ideogram API leads on schema \u0026 documentation.",
        "question": "Which is better for AI agents, Ideogram API or Qwen-Image 2.1 (Model Studio)?"
      },
      {
        "answer": "Ideogram API takes an API key or an OAuth sign-in. Qwen-Image 2.1 (Model Studio) needs an API key.",
        "question": "Do Ideogram API and Qwen-Image 2.1 (Model Studio) need an API key?"
      },
      {
        "answer": "Yes. Ideogram API has a hosted endpoint at https://api.ideogram.ai/v1 and Qwen-Image 2.1 (Model Studio) at https://dashscope-intl.aliyuncs.com/api/v1.",
        "question": "Can an agent call Ideogram API and Qwen-Image 2.1 (Model Studio) without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 76 against 66"
        ],
        "also": null,
        "goodFor": "Images with text in them, such as posters, ads and packaging.",
        "slug": "ideogram",
        "watchFor": "Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September"
      },
      {
        "aheadOn": [
          "Reliability, 70 against 65",
          "Agent ergonomics, 73 against 63",
          "Security \u0026 auth, 75 against 35",
          "Maintenance \u0026 community, 77 against 18",
          "Transparency \u0026 trust, 66 against 48"
        ],
        "also": null,
        "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.",
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      },
      {
        "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/black-forest-labs-vs-ideogram.json",
        "title": "Black Forest Labs FLUX API vs Ideogram API",
        "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-ideogram"
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      {
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      },
      {
        "json": "https://www.anchorterminal.com/compare/bria-vs-ideogram.json",
        "title": "Bria API vs Ideogram API",
        "url": "https://www.anchorterminal.com/compare/bria-vs-ideogram"
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      {
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        "title": "Bria API vs Qwen-Image 2.1 (Model Studio)",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-image-vs-ideogram.json",
        "title": "fal image models vs Ideogram API",
        "url": "https://www.anchorterminal.com/compare/fal-image-vs-ideogram"
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      {
        "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-ideogram.json",
        "title": "Google Imagen vs Ideogram API",
        "url": "https://www.anchorterminal.com/compare/google-imagen-vs-ideogram"
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        "json": "https://www.anchorterminal.com/compare/google-imagen-vs-qwen-image-2-1.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/ideogram-vs-leonardo-ai.json",
        "title": "Ideogram API vs Leonardo.Ai API",
        "url": "https://www.anchorterminal.com/compare/ideogram-vs-leonardo-ai"
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      {
        "json": "https://www.anchorterminal.com/compare/ideogram-vs-openai-image-api.json",
        "title": "Ideogram API vs OpenAI Image API",
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      {
        "json": "https://www.anchorterminal.com/compare/ideogram-vs-recraft.json",
        "title": "Ideogram API vs Recraft API",
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      {
        "json": "https://www.anchorterminal.com/compare/ideogram-vs-replicate-image.json",
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      {
        "json": "https://www.anchorterminal.com/compare/ideogram-vs-seedream-on-byteplus-modelark.json",
        "title": "Ideogram API vs Seedream on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/ideogram-vs-seedream-on-byteplus-modelark"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ideogram-vs-stability-ai-image.json",
        "title": "Ideogram API vs Stability AI Image API",
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      {
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        "json": "https://www.anchorterminal.com/compare/openai-image-api-vs-qwen-image-2-1.json",
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        "by": 5,
        "edge": "qwen-image-2-1",
        "ideogram": 65,
        "key": "reliability",
        "name": "Reliability",
        "qwen-image-2-1": 70,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 10,
        "edge": "ideogram",
        "ideogram": 76,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "qwen-image-2-1": 66,
        "weight": 13
      },
      {
        "by": 10,
        "edge": "qwen-image-2-1",
        "ideogram": 63,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "qwen-image-2-1": 73,
        "weight": 13
      },
      {
        "by": 40,
        "edge": "qwen-image-2-1",
        "ideogram": 35,
        "key": "security",
        "name": "Security \u0026 auth",
        "qwen-image-2-1": 75,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "ideogram": 20,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "qwen-image-2-1": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 59,
        "edge": "qwen-image-2-1",
        "ideogram": 18,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "qwen-image-2-1": 77,
        "weight": 7
      },
      {
        "by": 18,
        "edge": "qwen-image-2-1",
        "ideogram": 48,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "qwen-image-2-1": 66,
        "weight": 7
      }
    ],
    "summary": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Ideogram API's 50 (D), and leads in 5 of 7 scored categories. Ideogram API leads on schema \u0026 documentation. Both do image generation.",
    "verdicts": {
      "ideogram": "Text rendering and layout control are the model's focus. Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September.",
      "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."
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  "markdown": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Ideogram API's 50 (D), and leads in 5 of 7 scored categories. Ideogram API leads on schema \u0026 documentation. Both do image generation.\n\n- Ideogram API: grade D, 50/100, rank #787 of 961. Markdown https://www.anchorterminal.com/tools/ideogram.md · JSON https://www.anchorterminal.com/api/v1/tools/ideogram.json\n- Qwen-Image 2.1 (Model Studio): grade B, 64.7/100, rank #347 of 961. 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 image generation for AI agents: https://www.anchorterminal.com/best/image-generation/index.md\n- All 78 image comparisons: https://www.anchorterminal.com/compare/image-generation/index.md\n\n## Which one, for what\n\n### Ideogram API (D)\n\nGood for: Images with text in them, such as posters, ads and packaging.\n\nAhead on:\n- Schema \u0026 documentation, 76 against 66\n\nWatch for: Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September\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 65\n- Agent ergonomics, 73 against 63\n- Security \u0026 auth, 75 against 35\n- Maintenance \u0026 community, 77 against 18\n- Transparency \u0026 trust, 66 against 48\n\nWatch for: 20 requests a minute in every region\n\n\n## Score by category\n\n| Category | Weight | Ideogram API | Qwen-Image 2.1 (Model Studio) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 70 | Qwen-Image 2.1 (Model Studio) +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 76 | 66 | Ideogram API +10 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 73 | Qwen-Image 2.1 (Model Studio) +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 75 | Qwen-Image 2.1 (Model Studio) +40 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 18 | 77 | Qwen-Image 2.1 (Model Studio) +59 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 48 | 66 | Qwen-Image 2.1 (Model Studio) +18 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **50 · D** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Ideogram API | Qwen-Image 2.1 (Model Studio) |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Ideogram | Alibaba Cloud |\n| Hosted endpoint | `https://api.ideogram.ai/v1` | `https://dashscope-intl.aliyuncs.com/api/v1` |\n| Transports | HTTP, Streamable HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | none | 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 | yes | yes |\n| Last release | none | 2026-10-02 |\n| Terms last updated | 2024-08-14 | couldn't be read |\n| Privacy policy last updated | 2025-01-15 |  |\n| Customer content may train models | yes | couldn't be read |\n| Terms restrict automated access | yes | couldn't be read |\n| Terms restrict benchmarking | yes | 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 | yes | couldn't be read |\n| Agent reviews | 3.5/5 (2) | none |\n\n## Verdicts\n\n**Ideogram API.** Text rendering and layout control are the model's focus. Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September.\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### Ideogram API\n\n1. Send multipart form data, not JSON\n2. Treat 402 as no credit or no payment method, and 422 as an unsafe prompt to rewrite, not retry\n3. Check `is_image_safe`. When it's false the `url` is empty\n4. Download images straight away, the links expire\n5. Use the `/async/` variants with `webhook_url` for batches and verify the Ed25519 signature\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## Questions\n\n### Which is better for AI agents, Ideogram API or Qwen-Image 2.1 (Model Studio)?\n\nQwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Ideogram API's 50 (D), and leads in 5 of 7 scored categories. Ideogram API leads on schema \u0026 documentation.\n\n### Do Ideogram API and Qwen-Image 2.1 (Model Studio) need an API key?\n\nIdeogram API takes an API key or an OAuth sign-in. Qwen-Image 2.1 (Model Studio) needs an API key.\n\n### Can an agent call Ideogram API and Qwen-Image 2.1 (Model Studio) without installing anything?\n\nYes. Ideogram API has a hosted endpoint at https://api.ideogram.ai/v1 and Qwen-Image 2.1 (Model Studio) at https://dashscope-intl.aliyuncs.com/api/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1.json, and with the fewest tokens: https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"ideogram\", \"b\": \"qwen-image-2-1\"}`. From a terminal: `anchor compare ideogram qwen-image-2-1`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/ideogram.json and https://www.anchorterminal.com/api/v1/tools/qwen-image-2-1.json\n\n## Other comparisons with Ideogram API or Qwen-Image 2.1 (Model Studio)\n\n- [Adobe Firefly API vs Ideogram API](https://www.anchorterminal.com/compare/adobe-firefly-vs-ideogram.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- [Black Forest Labs FLUX API vs Ideogram API](https://www.anchorterminal.com/compare/black-forest-labs-vs-ideogram.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 Ideogram API](https://www.anchorterminal.com/compare/bria-vs-ideogram.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 Ideogram API](https://www.anchorterminal.com/compare/fal-image-vs-ideogram.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 Ideogram API](https://www.anchorterminal.com/compare/google-imagen-vs-ideogram.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 Leonardo.Ai API](https://www.anchorterminal.com/compare/ideogram-vs-leonardo-ai.md)\n- [Ideogram API vs OpenAI Image API](https://www.anchorterminal.com/compare/ideogram-vs-openai-image-api.md)\n- [Ideogram API vs Recraft API](https://www.anchorterminal.com/compare/ideogram-vs-recraft.md)\n- [Ideogram API vs Replicate image models](https://www.anchorterminal.com/compare/ideogram-vs-replicate-image.md)\n- [Ideogram API vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/ideogram-vs-seedream-on-byteplus-modelark.md)\n- [Ideogram API vs Stability AI Image API](https://www.anchorterminal.com/compare/ideogram-vs-stability-ai-image.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",
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