{ "data": { "a": { "slug": "adobe-firefly", "name": "Adobe Firefly API", "vendor": "Adobe", "vendorUrl": "https://developer.adobe.com/firefly-services", "kind": "model", "category": "image-generation", "summary": "Adobe's Firefly image models (Image 3, Image 4 Standard and Ultra, Image 5) as async REST endpoints within Firefly Services.", "url": "https://www.anchorterminal.com/tools/adobe-firefly", "markdownUrl": "https://www.anchorterminal.com/tools/adobe-firefly.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/adobe-firefly.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/adobe-firefly.json", "transports": [ "http" ], "remoteUrl": "https://firefly-api.adobe.io", "packages": [ { "registry": "npm", "name": "@adobe/firefly-apis" } ], "auth": "oauth", "authNotes": "OAuth server-to-server credentials from the Adobe Developer Console. Exchange client ID and secret at https://ims-na1.adobelogin.com/ims/token/v3 for a 24-hour bearer token, then send it with the client ID in x-api-key. The model is chosen with the x-model-version header.", "pricing": "paid", "pricingNotes": "No public API price list and no self-serve plan. Access comes with a Firefly Services enterprise contract negotiated through Adobe sales. Consumer Firefly plans don't include API access (https://business.adobe.com/products/firefly-business.html).", "priceSummary": "Paid", "where": "hosted", "x402": { "level": "no", "evidence": "Enterprise contract billing only. No x402 in the docs or OpenAPI spec (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 1108, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://developer.adobe.com/firefly-services/docs/firefly-api/", "openapi": "https://raw.githubusercontent.com/AdobeDocs/ffs-firefly-api/main/static/firefly-api.json", "capabilities": [ "image.generate", "image.edit", "image.upscale", "image.reference" ], "tags": [ "hosted", "closed-source", "enterprise", "openapi", "async-jobs", "commercial-licence", "c2pa" ], "lastRelease": "2026-04-24", "graded": true, "anchor": { "graded": true, "score": 49, "grade": "D", "agentReady": false, "rank": 810, "ranked": true, "rankOf": 961, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 57, "maintenance": 23, "payments": 0, "reliability": 55, "schema": 78, "security": 63, "transparency": 69 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -3, "negativeNotes": [ "2026-04-24: the Upscale GA removed the `creative_upsampler_v1` header value, which now returns 422, on the day the change was announced. The repository history shows the rename first appears that day in both the spec and the changelog. The endpoint was a month-old beta and the entry gives a migration path, so the smallest deduction. https://developer.adobe.com/firefly-services/docs/firefly-api/getting-started/changelog/" ], "verdict": "OAuth server-to-server credentials exchanged for 24-hour bearer tokens. Enterprise contract only. No self-serve sign-up and no public price list.", "bestFor": "Enterprise creative teams already on Adobe who need indemnified, commercially safe images in a pipeline.", "strengths": [ "OAuth server-to-server credentials exchanged for 24-hour bearer tokens", "Published OpenAPI 3.1 spec and a dated changelog that flags breaking changes", "Trained on licensed and public-domain content, with IP indemnity available to enterprise buyers", "Composite, expand, fill, upscale and custom-model endpoints aimed at production pipelines" ], "weaknesses": [ "Enterprise contract only. No self-serve sign-up and no public price list", "Default limit of 4 requests a minute per organisation", "Changelog's newest entry is 2026-04-24, and Image 5's endpoint isn't in it", "The only SDK, `@adobe/firefly-apis` 2.0.1 from June 2025, calls synchronous paths the changelog lists as removed in October 2025", "Every generation is an async job you have to poll, and there's no llms.txt" ], "agentNotes": [ "Call the REST async endpoints directly. `@adobe/firefly-apis` 2.0.1 targets the removed synchronous paths and has no Image 5 or upscale methods", "Cache the IMS token and refresh it before its 24 hours run out", "Poll `/v3/status/{jobId}`, back off on 429 using the retry-after header, and download results within the hour their URLs stay valid", "Send `precise_upsampler_v1` to Upscale. `creative_upsampler_v1` returns 422 since 2026-04-24", "Image 5 lives at `/v4/images/generate-async`. Image 3 and 4 stay on `/v3/images/generate-async`" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 1.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 49 } ], "editorialScores": { "ergonomics": 57, "maintenance": 23, "payments": 0, "reliability": 55, "schema": 78, "security": 63, "transparency": 42 }, "provenanceScore": 96 }, "connect": { "http": "curl https://firefly-api.adobe.io/v3/images/generate-async \\\n -H \"x-api-key: $FIREFLY_SERVICES_CLIENT_ID\" -H \"Authorization: Bearer $FIREFLY_SERVICES_ACCESS_TOKEN\" \\\n -H \"Content-Type: application/json\" -d '{\"prompt\":\"a realistic illustration of a cat coding\"}'" }, "letme": { "capability": "https://letme.dev/image.generate", "tool": "https://letme.dev/adobe-firefly" }, "sameCompany": [ "adobe-pdf-extract", "adobe-photoshop-api", "adobe-commerce", "adobe-acrobat-sign" ], "area": "content", "provenance": { "legalEntity": "Adobe Inc.", "domain": "adobe.com", "domainRegistered": "1986-11-17", "endpointOnVendorDomain": true, "terms": "https://www.adobe.com/legal/terms.html", "privacy": "https://www.adobe.com/privacy/policy.html", "statusPage": "https://status.adobe.com", "changelog": "https://developer.adobe.com/firefly-services/docs/firefly-api/getting-started/changelog/", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "The API is served from firefly-api.adobe.io, Adobe's developer API domain, not adobe.com", "The OpenAPI spec is published in the AdobeDocs/ffs-firefly-api GitHub repo" ], "score": 96 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/adobe-firefly.json", "live": { "slug": "adobe-firefly", "probe": { "target": "https://firefly-api.adobe.io", "method": "get", "lastAt": "2026-10-11T02:46:14.951412654Z", "lastOk": true, "lastStatus": 404, "lastMs": 256, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 257, "p95ms24h": 308, "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": 248 }, { "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.adobe.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T11:08:28.463659513Z" }, "versions": [ { "registry": "npm", "name": "@adobe/firefly-apis", "version": "2.0.1", "seenAt": "2026-10-10T17:30:48.176929081Z" } ], "npmWeekly": 663, "securityTxt": { "url": "https://adobe.com/.well-known/security.txt", "state": "valid", "expires": "2027-07-30T01:00:00.000Z", "checkedAt": "2026-10-10T15:41:11.364706254Z" }, "domain": { "domain": "adobe.com", "registered": "1986-11-17", "source": "https://rdap.verisign.com/com/v1/domain/adobe.com", "checkedAt": "2026-10-04T13:03:40.934529293Z" }, "pages": [ { "url": "https://developer.adobe.com/firefly-services/docs/firefly-api/getting-started/changelog/", "kind": "deprecations", "status": 304, "checkedAt": "2026-10-10T18:59:26.941478172Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "f5f652835852" }, { "url": "https://www.adobe.com/privacy/policy.html", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:25:57.217799599Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "15954a961e2a" }, { "url": "https://www.adobe.com/legal/terms.html", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:25:55.169206974Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8a4c10adf4f8" } ], "updatedAt": "2026-10-11T02:46:14.951412654Z" } }, "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Adobe Firefly API's 49 (D), and leads in 5 of 7 scored categories. Adobe Firefly 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": "Adobe", "b": "Alibaba Cloud", "name": "Vendor" }, { "a": "https://firefly-api.adobe.io", "b": "https://dashscope-intl.aliyuncs.com/api/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "OAuth", "b": "API key", "name": "Auth" }, { "a": "Paid", "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": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-04-24", "b": "2026-10-02", "name": "Last release" }, { "a": "couldn't be read", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "2025-10-24", "b": "", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "1.1k npm/wk", "b": "none", "name": "Popularity" }, { "a": "1.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Adobe Firefly API's 49 (D), and leads in 5 of 7 scored categories. Adobe Firefly API leads on schema \u0026 documentation.", "question": "Which is better for AI agents, Adobe Firefly API or Qwen-Image 2.1 (Model Studio)?" }, { "answer": "Adobe Firefly API uses an OAuth sign-in. Qwen-Image 2.1 (Model Studio) needs an API key.", "question": "Do Adobe Firefly API and Qwen-Image 2.1 (Model Studio) need an API key?" }, { "answer": "Yes. Adobe Firefly API has a hosted endpoint at https://firefly-api.adobe.io and Qwen-Image 2.1 (Model Studio) at https://dashscope-intl.aliyuncs.com/api/v1.", "question": "Can an agent call Adobe Firefly API and Qwen-Image 2.1 (Model Studio) without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 78 against 66" ], "also": null, "goodFor": "Enterprise creative teams already on Adobe who need indemnified, commercially safe images in a pipeline.", "slug": "adobe-firefly", "watchFor": "Enterprise contract only. No self-serve sign-up and no public price list" }, { "aheadOn": [ "Reliability, 70 against 55", "Agent ergonomics, 73 against 57", "Security \u0026 auth, 75 against 63", "Payments \u0026 pricing, 20 against 0", "Maintenance \u0026 community, 77 against 23" ], "also": [ "No incidents deducted, where Adobe Firefly API loses 3 points for them" ], "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-black-forest-labs.json", "title": "Adobe Firefly API vs Black Forest Labs FLUX API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-black-forest-labs" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-bria.json", "title": "Adobe Firefly API vs Bria API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-bria" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-fal-image.json", "title": "Adobe Firefly API vs fal image models", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-fal-image" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-google-imagen.json", "title": "Adobe Firefly API vs Google Imagen", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-google-imagen" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-ideogram.json", "title": "Adobe Firefly API vs Ideogram API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-ideogram" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-leonardo-ai.json", "title": "Adobe Firefly API vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-leonardo-ai" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-openai-image-api.json", "title": "Adobe Firefly API vs OpenAI Image API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-openai-image-api" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-recraft.json", "title": "Adobe Firefly API vs Recraft API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-recraft" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-replicate-image.json", "title": "Adobe Firefly API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-replicate-image" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-seedream-on-byteplus-modelark.json", "title": "Adobe Firefly API vs Seedream on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-seedream-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-stability-ai-image.json", "title": "Adobe Firefly API vs Stability AI Image API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-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/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": [ { "adobe-firefly": 55, "by": 15, "edge": "qwen-image-2-1", "key": "reliability", "name": "Reliability", "qwen-image-2-1": 70, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "adobe-firefly": 78, "by": 12, "edge": "adobe-firefly", "key": "schema", "name": "Schema \u0026 documentation", "qwen-image-2-1": 66, "weight": 13 }, { "adobe-firefly": 57, "by": 16, "edge": "qwen-image-2-1", "key": "ergonomics", "name": "Agent ergonomics", "qwen-image-2-1": 73, "weight": 13 }, { "adobe-firefly": 63, "by": 12, "edge": "qwen-image-2-1", "key": "security", "name": "Security \u0026 auth", "qwen-image-2-1": 75, "weight": 14 }, { "adobe-firefly": 0, "by": 20, "edge": "qwen-image-2-1", "key": "payments", "name": "Payments \u0026 pricing", "qwen-image-2-1": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "adobe-firefly": 23, "by": 54, "edge": "qwen-image-2-1", "key": "maintenance", "name": "Maintenance \u0026 community", "qwen-image-2-1": 77, "weight": 7 }, { "adobe-firefly": 69, "by": 3, "edge": "adobe-firefly", "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 Adobe Firefly API's 49 (D), and leads in 5 of 7 scored categories. Adobe Firefly API leads on schema \u0026 documentation. Both do image generation.", "verdicts": { "adobe-firefly": "OAuth server-to-server credentials exchanged for 24-hour bearer tokens. Enterprise contract only. No self-serve sign-up and no public price list.", "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/adobe-firefly-vs-qwen-image-2-1", "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-qwen-image-2-1.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/adobe-firefly-vs-qwen-image-2-1.md", "slim": "https://www.anchorterminal.com/compare/adobe-firefly-vs-qwen-image-2-1.min.md" }, "markdown": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Adobe Firefly API's 49 (D), and leads in 5 of 7 scored categories. Adobe Firefly API leads on schema \u0026 documentation. Both do image generation.\n\n- Adobe Firefly API: grade D, 49/100, rank #810 of 961. Markdown https://www.anchorterminal.com/tools/adobe-firefly.md · JSON https://www.anchorterminal.com/api/v1/tools/adobe-firefly.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### Adobe Firefly API (D)\n\nGood for: Enterprise creative teams already on Adobe who need indemnified, commercially safe images in a pipeline.\n\nAhead on:\n- Schema \u0026 documentation, 78 against 66\n\nWatch for: Enterprise contract only. No self-serve sign-up and no public price list\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 55\n- Agent ergonomics, 73 against 57\n- Security \u0026 auth, 75 against 63\n- Payments \u0026 pricing, 20 against 0\n- Maintenance \u0026 community, 77 against 23\n\nAlso in its favour:\n- No incidents deducted, where Adobe Firefly API loses 3 points for them\n\nWatch for: 20 requests a minute in every region\n\n\n## Score by category\n\n| Category | Weight | Adobe Firefly API | Qwen-Image 2.1 (Model Studio) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 70 | Qwen-Image 2.1 (Model Studio) +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 66 | Adobe Firefly API +12 |\n| Agent ergonomics | 13% (16.2 this run) | 57 | 73 | Qwen-Image 2.1 (Model Studio) +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 63 | 75 | Qwen-Image 2.1 (Model Studio) +12 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 0 | 20 | Qwen-Image 2.1 (Model Studio) +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 23 | 77 | Qwen-Image 2.1 (Model Studio) +54 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 69 | 66 | Adobe Firefly API +3 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **49 · D** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Adobe Firefly API | Qwen-Image 2.1 (Model Studio) |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Adobe | Alibaba Cloud |\n| Hosted endpoint | `https://firefly-api.adobe.io` | `https://dashscope-intl.aliyuncs.com/api/v1` |\n| Transports | HTTP | HTTP |\n| Auth | OAuth | API key |\n| Pricing | Paid | 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 | no | yes |\n| Last release | 2026-04-24 | 2026-10-02 |\n| Terms last updated | couldn't be read | couldn't be read |\n| Privacy policy last updated | 2025-10-24 | |\n| Customer content may train models | couldn't be read | couldn't be read |\n| Terms restrict automated access | couldn't be read | couldn't be read |\n| Terms restrict benchmarking | couldn't be read | couldn't be read |\n| Terms or service can change without notice | couldn't be read | couldn't be read |\n| Arbitration or class-action waiver | couldn't be read | couldn't be read |\n| Popularity | 1.1k npm/wk | none |\n| Agent reviews | 1.5/5 (2) | none |\n\n## Verdicts\n\n**Adobe Firefly API.** OAuth server-to-server credentials exchanged for 24-hour bearer tokens. Enterprise contract only. No self-serve sign-up and no public price list.\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### Adobe Firefly API\n\n1. Call the REST async endpoints directly. `@adobe/firefly-apis` 2.0.1 targets the removed synchronous paths and has no Image 5 or upscale methods\n2. Cache the IMS token and refresh it before its 24 hours run out\n3. Poll `/v3/status/{jobId}`, back off on 429 using the retry-after header, and download results within the hour their URLs stay valid\n4. Send `precise_upsampler_v1` to Upscale. `creative_upsampler_v1` returns 422 since 2026-04-24\n5. Image 5 lives at `/v4/images/generate-async`. Image 3 and 4 stay on `/v3/images/generate-async`\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, Adobe Firefly API or Qwen-Image 2.1 (Model Studio)?\n\nQwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Adobe Firefly API's 49 (D), and leads in 5 of 7 scored categories. Adobe Firefly API leads on schema \u0026 documentation.\n\n### Do Adobe Firefly API and Qwen-Image 2.1 (Model Studio) need an API key?\n\nAdobe Firefly API uses an OAuth sign-in. Qwen-Image 2.1 (Model Studio) needs an API key.\n\n### Can an agent call Adobe Firefly API and Qwen-Image 2.1 (Model Studio) without installing anything?\n\nYes. Adobe Firefly API has a hosted endpoint at https://firefly-api.adobe.io 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/adobe-firefly-vs-qwen-image-2-1.json, and with the fewest tokens: https://www.anchorterminal.com/compare/adobe-firefly-vs-qwen-image-2-1.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"adobe-firefly\", \"b\": \"qwen-image-2-1\"}`. From a terminal: `anchor compare adobe-firefly qwen-image-2-1`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/adobe-firefly.json and https://www.anchorterminal.com/api/v1/tools/qwen-image-2-1.json\n\n## Other comparisons with Adobe Firefly API or Qwen-Image 2.1 (Model Studio)\n\n- [Adobe Firefly API vs Black Forest Labs FLUX API](https://www.anchorterminal.com/compare/adobe-firefly-vs-black-forest-labs.md)\n- [Adobe Firefly API vs Bria API](https://www.anchorterminal.com/compare/adobe-firefly-vs-bria.md)\n- [Adobe Firefly API vs fal image models](https://www.anchorterminal.com/compare/adobe-firefly-vs-fal-image.md)\n- [Adobe Firefly API vs Google Imagen](https://www.anchorterminal.com/compare/adobe-firefly-vs-google-imagen.md)\n- [Adobe Firefly API vs Ideogram API](https://www.anchorterminal.com/compare/adobe-firefly-vs-ideogram.md)\n- [Adobe Firefly API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/adobe-firefly-vs-leonardo-ai.md)\n- [Adobe Firefly API vs OpenAI Image API](https://www.anchorterminal.com/compare/adobe-firefly-vs-openai-image-api.md)\n- [Adobe Firefly API vs Recraft API](https://www.anchorterminal.com/compare/adobe-firefly-vs-recraft.md)\n- [Adobe Firefly API vs Replicate image models](https://www.anchorterminal.com/compare/adobe-firefly-vs-replicate-image.md)\n- [Adobe Firefly API vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/adobe-firefly-vs-seedream-on-byteplus-modelark.md)\n- [Adobe Firefly API vs Stability AI Image API](https://www.anchorterminal.com/compare/adobe-firefly-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- [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)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-11", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Adobe Firefly API vs Qwen-Image 2.1 (Model Studio)", "url": "" } ], "description": "Qwen-Image 2.1 scores 64.7 (B) to Adobe Firefly's 49 (D) for image generation. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Adobe Firefly API D 49", "Qwen-Image 2.1 (Model Studio) B 64.7", "scores" ], "h1": "Adobe Firefly API vs Qwen-Image 2.1 (Model Studio)", "image": "https://www.anchorterminal.com/assets/og/compare-adobe-firefly-vs-qwen-image-2-1.png", "path": "/compare/adobe-firefly-vs-qwen-image-2-1", "published": "2026-10-01", "section": "tools", "title": "Adobe Firefly vs Qwen-Image 2.1 for AI agents (2026) | Anchor Terminal", "toc": null, "updated": "2026-10-10", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-qwen-image-2-1" }, "tokens": { "markdown": 2600, "slim": 630 }, "version": 1 }