{ "data": { "a": { "slug": "leonardo-ai", "name": "Leonardo.Ai API", "vendor": "Leonardo.Ai (Canva)", "vendorUrl": "https://leonardo.ai", "kind": "model", "category": "image-generation", "summary": "Leonardo's own Phoenix and Lucid image models alongside resold third-party ones (FLUX, GPT Image, Ideogram 3.0, Nano Banana, Seedream) through one v2 generations endpoint.", "url": "https://www.anchorterminal.com/tools/leonardo-ai", "markdownUrl": "https://www.anchorterminal.com/tools/leonardo-ai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/leonardo-ai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/leonardo-ai.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://cloud.leonardo.ai/api/rest/v2", "packages": [ { "registry": "npm", "name": "@leonardo-ai/sdk" }, { "registry": "pypi", "name": "leonardo-ai-sdk" } ], "auth": "api-key", "authNotes": "Bearer API key created on the API Access page of the web app. The hosted MCP server at https://mcp.leonardo.ai/v1/mcp takes the same key in an API-Key header.", "pricing": "usage", "pricingNotes": "Pay as you go from a prepaid dollar balance that doesn't expire, with optional auto top-up. No monthly fee. API billing is separate from web app subscriptions. Per-image prices aren't published as a table. Cost depends on model, resolution and output count, shown in the in-app pricing calculator and returned in a cost object on each generation. Custom plans on request (https://docs.leonardo.ai/docs/pricing-and-plans-faq).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 in the API docs (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 20039, "pypiWeekly": 82, "asOf": "2026-09-30" }, "docsUrl": "https://docs.leonardo.ai/docs/getting-started", "llmsTxt": "https://docs.leonardo.ai/llms.txt", "capabilities": [ "image.generate", "image.edit", "image.upscale", "image.reference" ], "tags": [ "hosted", "closed-source", "mcp", "llms-txt", "python", "typescript", "async-jobs", "webhooks", "commercial-licence" ], "lastRelease": "2026-04-21", "graded": true, "anchor": { "graded": true, "score": 37.5, "grade": "F", "agentReady": false, "rank": 936, "ranked": true, "rankOf": 961, "categoryRank": 12, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 54, "maintenance": 48, "payments": 0, "reliability": 30, "schema": 45, "security": 40, "transparency": 48 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Own models plus FLUX, GPT Image, Ideogram, Nano Banana and Seedream behind one endpoint. No per-image price list outside the logged-in calculator.", "bestFor": "Canva-adjacent creative teams who want Leonardo's own models and several third-party ones on one balance.", "strengths": [ "Own models plus FLUX, GPT Image, Ideogram, Nano Banana and Seedream behind one endpoint", "Pay as you go with a balance that doesn't expire and no monthly fee", "Every generation returns a cost object", "Official TypeScript and Python SDKs, published through npm trusted publishing", "Webhook callbacks as well as polling" ], "weaknesses": [ "No per-image price list outside the logged-in calculator", "No status page and no security.txt", "Deprecation notice of 8 to 28 days with no stated policy", "No documented status code or backoff advice for limit errors", "TypeScript SDK last released on 21 April 2026" ], "agentNotes": [ "Use `POST /api/rest/v2/generations` with a `model` name such as `lucid-origin`", "Read the `cost` object in each response to track spend, prices aren't published", "Send `quality`, not `mode`. `mode` was retired on 2026-05-04", "Set a webhook callback URL on the key instead of polling long jobs", "Check the deprecations page before relying on a third-party model, removals follow the provider" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 37.5 } ], "editorialScores": { "ergonomics": 54, "maintenance": 48, "payments": 0, "reliability": 30, "schema": 45, "security": 40, "transparency": 25 }, "provenanceScore": 70 }, "connect": { "http": "curl -X POST https://cloud.leonardo.ai/api/rest/v2/generations \\\n -H \"authorization: Bearer $LEONARDO_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"model\":\"lucid-origin\",\"parameters\":{\"prompt\":\"a fox in a snowy forest\",\"width\":1024,\"height\":1024,\"quantity\":1},\"public\":false}'", "config": { "mcpServers": { "leonardo-ai": { "headers": { "API-Key": "${LEONARDO_API_KEY}" }, "url": "https://mcp.leonardo.ai/v1/mcp" } } } }, "letme": { "capability": "https://letme.dev/image.generate", "tool": "https://letme.dev/leonardo-ai" }, "area": "content", "provenance": { "legalEntity": "Leonardo Interactive Pty Ltd", "domain": "leonardo.ai", "domainRegistered": "2019-01-08", "domainNote": "leonardo.ai was registered in 2019, before the company launched its product in 2022.", "endpointOnVendorDomain": true, "terms": "https://leonardo.ai/terms-of-service", "privacy": "https://leonardo.ai/privacy-policy", "statusPage": "", "changelog": "https://docs.leonardo.ai/docs/deprecations-changes", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Legal entity is Leonardo Interactive Pty Ltd T/A Leonardo.Ai (ACN 662 209 485), a Canva subsidiary since 2024", "leonardo.ai returns 403 to curl and WebFetch, so the terms and privacy pages were read via search results", "status.leonardo.ai failed TLS and no other status page was found" ], "score": 70 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/leonardo-ai.json", "live": { "slug": "leonardo-ai", "probe": { "target": "https://cloud.leonardo.ai/api/rest/v2", "method": "get", "lastAt": "2026-10-11T02:46:30.624484565Z", "lastOk": true, "lastStatus": 401, "lastMs": 169, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 180, "p95ms24h": 1156, "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 } ] }, "versions": [ { "registry": "npm", "name": "@leonardo-ai/sdk", "version": "4.21.3", "seenAt": "2026-10-10T17:55:53.276385594Z" }, { "registry": "pypi", "name": "leonardo-ai-sdk", "version": "7.0.0", "released": "2026-02-05", "seenAt": "2026-10-10T17:55:54.133287342Z" } ], "npmWeekly": 14877, "pypiWeekly": 39, "securityTxt": { "url": "https://leonardo.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-10T15:40:42.416047194Z" }, "llmsTxt": { "url": "https://docs.leonardo.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-10T14:04:31.751249046Z" }, "domain": { "domain": "leonardo.ai", "registered": "2019-01-08", "source": "https://rdap.identitydigital.services/rdap/domain/leonardo.ai", "checkedAt": "2026-10-04T13:07:29.136922598Z" }, "pages": [ { "url": "https://docs.leonardo.ai/docs/deprecations-changes", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-10T19:01:54.887514191Z", "changedAt": "2026-10-08T18:18:55.447576253Z", "fingerprint": "541567b91656" }, { "url": "https://docs.leonardo.ai/docs/pricing-and-plans-faq", "kind": "pricing", "status": 200, "checkedAt": "2026-10-10T19:01:57.812463858Z", "changedAt": "2026-10-08T18:18:58.374377021Z", "fingerprint": "4a918fa1293b" }, { "url": "https://leonardo.ai/privacy-policy", "kind": "privacy", "status": 403, "checkedAt": "2026-10-10T19:05:33.50619449Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://leonardo.ai/terms-of-service", "kind": "terms", "status": 403, "checkedAt": "2026-10-10T19:05:35.519040344Z", "changedAt": "0001-01-01T00:00:00Z" } ], "updatedAt": "2026-10-11T02:46:30.624484565Z" } }, "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in every scored category.", "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": "Leonardo.Ai (Canva)", "b": "Alibaba Cloud", "name": "Vendor" }, { "a": "https://cloud.leonardo.ai/api/rest/v2", "b": "https://dashscope-intl.aliyuncs.com/api/v1", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API 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": "2026-04-21", "b": "2026-10-02", "name": "Last release" }, { "a": "couldn't be read", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "couldn't be read", "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": "20k npm/wk, 82 PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "2/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in every scored category.", "question": "Which is better for AI agents, Leonardo.Ai API or Qwen-Image 2.1 (Model Studio)?" }, { "answer": "Both need an API key.", "question": "Do Leonardo.Ai API and Qwen-Image 2.1 (Model Studio) need an API key?" }, { "answer": "Yes. Leonardo.Ai API has a hosted endpoint at https://cloud.leonardo.ai/api/rest/v2 and Qwen-Image 2.1 (Model Studio) at https://dashscope-intl.aliyuncs.com/api/v1.", "question": "Can an agent call Leonardo.Ai API and Qwen-Image 2.1 (Model Studio) without installing anything?" } ], "goodFor": [ { "aheadOn": null, "also": null, "goodFor": "Canva-adjacent creative teams who want Leonardo's own models and several third-party ones on one balance.", "slug": "leonardo-ai", "watchFor": "No per-image price list outside the logged-in calculator" }, { "aheadOn": [ "Reliability, 70 against 30", "Schema \u0026 documentation, 66 against 45", "Agent ergonomics, 73 against 54", "Security \u0026 auth, 75 against 40", "Payments \u0026 pricing, 20 against 0", "Maintenance \u0026 community, 77 against 48", "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.", "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-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-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-leonardo-ai.json", "title": "Black Forest Labs FLUX API vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-leonardo-ai" }, { "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-leonardo-ai.json", "title": "Bria API vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/bria-vs-leonardo-ai" }, { "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-leonardo-ai.json", "title": "fal image models vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/fal-image-vs-leonardo-ai" }, { "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-leonardo-ai.json", "title": "Google Imagen vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/google-imagen-vs-leonardo-ai" }, { "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-leonardo-ai.json", "title": "Ideogram API vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/ideogram-vs-leonardo-ai" }, { "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-openai-image-api.json", "title": "Leonardo.Ai API vs OpenAI Image API", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-openai-image-api" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-recraft.json", "title": "Leonardo.Ai API vs Recraft API", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-recraft" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-replicate-image.json", "title": "Leonardo.Ai API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-replicate-image" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-seedream-on-byteplus-modelark.json", "title": "Leonardo.Ai API vs Seedream on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-seedream-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-stability-ai-image.json", "title": "Leonardo.Ai API vs Stability AI Image API", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-stability-ai-image" }, { "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": [ { "by": 40, "edge": "qwen-image-2-1", "key": "reliability", "leonardo-ai": 30, "name": "Reliability", "qwen-image-2-1": 70, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 21, "edge": "qwen-image-2-1", "key": "schema", "leonardo-ai": 45, "name": "Schema \u0026 documentation", "qwen-image-2-1": 66, "weight": 13 }, { "by": 19, "edge": "qwen-image-2-1", "key": "ergonomics", "leonardo-ai": 54, "name": "Agent ergonomics", "qwen-image-2-1": 73, "weight": 13 }, { "by": 35, "edge": "qwen-image-2-1", "key": "security", "leonardo-ai": 40, "name": "Security \u0026 auth", "qwen-image-2-1": 75, "weight": 14 }, { "by": 20, "edge": "qwen-image-2-1", "key": "payments", "leonardo-ai": 0, "name": "Payments \u0026 pricing", "qwen-image-2-1": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 29, "edge": "qwen-image-2-1", "key": "maintenance", "leonardo-ai": 48, "name": "Maintenance \u0026 community", "qwen-image-2-1": 77, "weight": 7 }, { "by": 18, "edge": "qwen-image-2-1", "key": "transparency", "leonardo-ai": 48, "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 Leonardo.Ai API's 37.5 (F), and leads in every scored category. Both do image generation.", "verdicts": { "leonardo-ai": "Own models plus FLUX, GPT Image, Ideogram, Nano Banana and Seedream behind one endpoint. No per-image price list outside the logged-in calculator.", "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/leonardo-ai-vs-qwen-image-2-1", "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1.md", "slim": "https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1.min.md" }, "markdown": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in every scored category. Both do image generation.\n\n- Leonardo.Ai API: grade F, 37.5/100, rank #936 of 961. Markdown https://www.anchorterminal.com/tools/leonardo-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/leonardo-ai.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### Leonardo.Ai API (F)\n\nGood for: Canva-adjacent creative teams who want Leonardo's own models and several third-party ones on one balance.\n\nWatch for: No per-image price list outside the logged-in calculator\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 45\n- Agent ergonomics, 73 against 54\n- Security \u0026 auth, 75 against 40\n- Payments \u0026 pricing, 20 against 0\n- Maintenance \u0026 community, 77 against 48\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 | Leonardo.Ai API | 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) | 45 | 66 | Qwen-Image 2.1 (Model Studio) +21 |\n| Agent ergonomics | 13% (16.2 this run) | 54 | 73 | Qwen-Image 2.1 (Model Studio) +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 40 | 75 | Qwen-Image 2.1 (Model Studio) +35 |\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) | 48 | 77 | Qwen-Image 2.1 (Model Studio) +29 |\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** | | **37.5 · F** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Leonardo.Ai API | Qwen-Image 2.1 (Model Studio) |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Leonardo.Ai (Canva) | Alibaba Cloud |\n| Hosted endpoint | `https://cloud.leonardo.ai/api/rest/v2` | `https://dashscope-intl.aliyuncs.com/api/v1` |\n| Transports | HTTP, Streamable HTTP | HTTP |\n| Auth | API 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 | 2026-04-21 | 2026-10-02 |\n| Terms last updated | couldn't be read | couldn't be read |\n| Privacy policy last updated | couldn't be read | |\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 | 20k npm/wk, 82 PyPI/wk | none |\n| Agent reviews | 2/5 (2) | none |\n\n## Verdicts\n\n**Leonardo.Ai API.** Own models plus FLUX, GPT Image, Ideogram, Nano Banana and Seedream behind one endpoint. No per-image price list outside the logged-in calculator.\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### Leonardo.Ai API\n\n1. Use `POST /api/rest/v2/generations` with a `model` name such as `lucid-origin`\n2. Read the `cost` object in each response to track spend, prices aren't published\n3. Send `quality`, not `mode`. `mode` was retired on 2026-05-04\n4. Set a webhook callback URL on the key instead of polling long jobs\n5. Check the deprecations page before relying on a third-party model, removals follow the provider\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, Leonardo.Ai API or Qwen-Image 2.1 (Model Studio)?\n\nQwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in every scored category.\n\n### Do Leonardo.Ai API and Qwen-Image 2.1 (Model Studio) need an API key?\n\nBoth need an API key.\n\n### Can an agent call Leonardo.Ai API and Qwen-Image 2.1 (Model Studio) without installing anything?\n\nYes. Leonardo.Ai API has a hosted endpoint at https://cloud.leonardo.ai/api/rest/v2 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/leonardo-ai-vs-qwen-image-2-1.json, and with the fewest tokens: https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"leonardo-ai\", \"b\": \"qwen-image-2-1\"}`. From a terminal: `anchor compare leonardo-ai qwen-image-2-1`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/leonardo-ai.json and https://www.anchorterminal.com/api/v1/tools/qwen-image-2-1.json\n\n## Other comparisons with Leonardo.Ai API or Qwen-Image 2.1 (Model Studio)\n\n- [Adobe Firefly API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/adobe-firefly-vs-leonardo-ai.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 Leonardo.Ai API](https://www.anchorterminal.com/compare/black-forest-labs-vs-leonardo-ai.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 Leonardo.Ai API](https://www.anchorterminal.com/compare/bria-vs-leonardo-ai.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 Leonardo.Ai API](https://www.anchorterminal.com/compare/fal-image-vs-leonardo-ai.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 Leonardo.Ai API](https://www.anchorterminal.com/compare/google-imagen-vs-leonardo-ai.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 Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1.md)\n- [Leonardo.Ai API vs OpenAI Image API](https://www.anchorterminal.com/compare/leonardo-ai-vs-openai-image-api.md)\n- [Leonardo.Ai API vs Recraft API](https://www.anchorterminal.com/compare/leonardo-ai-vs-recraft.md)\n- [Leonardo.Ai API vs Replicate image models](https://www.anchorterminal.com/compare/leonardo-ai-vs-replicate-image.md)\n- [Leonardo.Ai API vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/leonardo-ai-vs-seedream-on-byteplus-modelark.md)\n- [Leonardo.Ai API vs Stability AI Image API](https://www.anchorterminal.com/compare/leonardo-ai-vs-stability-ai-image.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": "Leonardo.Ai API vs Qwen-Image 2.1 (Model Studio)", "url": "" } ], "description": "Qwen-Image 2.1 scores 64.7 (B) to Leonardo.Ai's 37.5 (F) for image generation. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Leonardo.Ai API F 37.5", "Qwen-Image 2.1 (Model Studio) B 64.7", "scores" ], "h1": "Leonardo.Ai API vs Qwen-Image 2.1 (Model Studio)", "image": "https://www.anchorterminal.com/assets/og/compare-leonardo-ai-vs-qwen-image-2-1.png", "path": "/compare/leonardo-ai-vs-qwen-image-2-1", "published": "2026-10-01", "section": "tools", "title": "Leonardo.Ai vs Qwen-Image 2.1 for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-10", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1" }, "tokens": { "markdown": 2500, "slim": 630 }, "version": 1 }