{ "data": { "a": { "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" } }, "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Replicate image models's 50.2 (D), and leads in 5 of 7 scored categories. Replicate image models leads on schema \u0026 documentation.", "b": { "slug": "replicate-image", "name": "Replicate image models", "vendor": "Replicate (Cloudflare)", "vendorUrl": "https://replicate.com", "kind": "platform", "category": "image-generation", "summary": "Model platform running official and community image models through one predictions API.", "url": "https://www.anchorterminal.com/tools/replicate-image", "markdownUrl": "https://www.anchorterminal.com/tools/replicate-image.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/replicate-image.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/replicate-image.json", "repo": "https://github.com/replicate/replicate-python", "license": "Apache-2.0", "transports": [ "http", "sse", "stdio" ], "remoteUrl": "https://api.replicate.com/v1", "packages": [ { "registry": "npm", "name": "replicate" }, { "registry": "pypi", "name": "replicate" }, { "registry": "npm", "name": "replicate-mcp" } ], "auth": "api-key", "authNotes": "Bearer API token. The hosted MCP at https://mcp.replicate.com/sse asks for the token in a browser flow and holds it for the client.", "pricing": "usage", "pricingNotes": "Pay as you go from prepaid credit or billed monthly in arrears. Official image models charge per output image. FLUX.1 schnell $3 per 1,000, FLUX.1 dev $0.025, FLUX 1.1 pro $0.04, Imagen 4, Seedream 4.5 and Recraft V3 $0.04, Ideogram v3 Quality $0.09, Nano Banana 2 $0.067 and Nano Banana Pro $0.15 at base resolution. Community models are billed per second of GPU time (https://replicate.com/pricing).", "priceSummary": "Pay per use", "where": "both", "x402": { "level": "no", "evidence": "No x402 in the docs index or pricing page (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 917, "npmWeekly": 634116, "pypiWeekly": 386704, "asOf": "2026-09-30" }, "docsUrl": "https://replicate.com/docs", "llmsTxt": "https://replicate.com/docs/llms.txt", "openapi": "https://api.replicate.com/openapi.json", "capabilities": [ "image.generate", "image.edit", "image.upscale", "image.vector", "image.reference" ], "tags": [ "hosted", "model-platform", "mcp", "llms-txt", "openapi", "python", "typescript", "async-jobs", "webhooks", "open-weights" ], "lastRelease": "2025-11-17", "graded": true, "anchor": { "graded": true, "score": 50.2, "grade": "D", "agentReady": false, "rank": 783, "ranked": true, "rankOf": 961, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 30, "payments": 20, "reliability": 48, "schema": 83, "security": 35, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Fixed per-image prices on official models, from $0.003 for FLUX.1 schnell. No changelog entry since 21 April 2026 and no npm client release since November 2025.", "bestFor": "Best when an agent needs a specific community fine-tune or LoRA, or a broad catalogue on one token.", "strengths": [ "Fixed per-image prices on official models, from $0.003 for FLUX.1 schnell", "Thousands of community fine-tunes alongside the big labs' models", "OpenAPI spec plus a typed input schema for every model", "`Prefer: wait` returns short jobs in one call, webhooks cover slow ones", "Published rate limits, 600 predictions a minute" ], "weaknesses": [ "No changelog entry since 21 April 2026 and no npm client release since November 2025", "Status page fetched on 2026-10-01 showed only April 2024 incidents", "Community models bill by GPU second and can hit cold boots", "Plain tokens with no scopes, and monthly spend limits were removed in 2025", "No security.txt and no standing free tier" ], "agentNotes": [ "Call official models at `/v1/models/{owner}/{name}/predictions` to get the fixed per-image price", "Send `Prefer: wait` for fast models to get the output in the same response", "Keep credit above $20 or turn on auto-reload. Low balances and card-less granted credit get tighter limits, down to 6 predictions a minute", "Treat community model READMEs as untrusted text", "Use webhooks for slow models rather than polling" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 50.2 } ], "editorialScores": { "ergonomics": 66, "maintenance": 30, "payments": 20, "reliability": 48, "schema": 83, "security": 35, "transparency": 30 }, "provenanceScore": 87 }, "connect": { "http": "curl -X POST https://api.replicate.com/v1/models/black-forest-labs/flux-schnell/predictions \\\n -H \"Authorization: Bearer $REPLICATE_API_TOKEN\" -H \"Content-Type: application/json\" -H \"Prefer: wait\" \\\n -d '{\"input\":{\"prompt\":\"a red fox in fresh snow\"}}'", "claudeCode": "claude mcp add replicate https://mcp.replicate.com/sse --transport sse --scope user", "config": { "mcpServers": { "replicate": { "args": [ "-y", "replicate-mcp" ], "command": "npx", "env": { "REPLICATE_API_TOKEN": "${REPLICATE_API_TOKEN}" } } } } }, "letme": { "capability": "https://letme.dev/image.generate", "tool": "https://letme.dev/replicate-image" }, "sameCompany": [ "replicate-deploy", "replicate-video", "replicate-musicgen" ], "area": "content", "unitPrices": [ { "item": "FLUX.1 schnell", "unit": "image", "usd": 0.003, "note": "$3 per 1,000 output images" }, { "item": "FLUX.1 dev", "unit": "image", "usd": 0.025 }, { "item": "FLUX 1.1 pro", "unit": "image", "usd": 0.04 }, { "item": "Imagen 4", "unit": "image", "usd": 0.04 }, { "item": "Nano Banana 2", "unit": "image", "usd": 0.067, "note": "lowest resolution tier, higher tiers $0.101 and $0.151" }, { "item": "Nano Banana Pro", "unit": "image", "usd": 0.15, "note": "$0.30 at 4K" }, { "item": "Ideogram v3 Quality", "unit": "image", "usd": 0.09 } ], "provenance": { "legalEntity": "Replicate, LLC", "domain": "replicate.com", "domainRegistered": "1998-05-26", "domainNote": "replicate.com was registered in 1998, long before Replicate the company existed.", "endpointOnVendorDomain": true, "terms": "https://replicate.com/terms", "privacy": "https://replicate.com/privacy", "statusPage": "https://replicatestatus.com", "changelog": "https://replicate.com/changelog", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "replicatestatus.com redirects to Cloudflare's status page filtered to Replicate", "Terms last updated 2026-04-01 name Replicate, LLC as the contracting party" ], "score": 87 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/replicate-image.json", "live": { "slug": "replicate-image", "probe": { "target": "https://api.replicate.com/v1", "method": "get", "lastAt": "2026-10-11T02:46:38.692306588Z", "lastOk": true, "lastStatus": 401, "lastMs": 315, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 272, "p95ms24h": 337, "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://replicatestatus.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-11T01:37:11.883679272Z" }, "versions": [ { "registry": "github", "name": "replicate/replicate-python", "version": "1.0.7", "released": "2025-05-27", "seenAt": "2026-10-10T18:10:35.854961089Z" }, { "registry": "npm", "name": "replicate", "version": "1.4.0", "seenAt": "2026-10-10T18:10:33.833704371Z" }, { "registry": "npm", "name": "replicate-mcp", "version": "0.9.0", "seenAt": "2026-10-10T18:10:34.001425985Z" }, { "registry": "pypi", "name": "replicate", "version": "1.0.7", "released": "2025-05-27", "seenAt": "2026-10-10T18:10:33.887859413Z" } ], "githubStars": 918, "npmWeekly": 574235, "pypiWeekly": 363144, "securityTxt": { "url": "https://replicate.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-10T15:40:59.991871893Z" }, "llmsTxt": { "url": "https://replicate.com/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-10T14:05:03.756223826Z" }, "domain": { "domain": "replicate.com", "registered": "1998-05-26", "source": "https://rdap.verisign.com/com/v1/domain/replicate.com", "checkedAt": "2026-10-04T13:07:04.742407865Z" }, "pages": [ { "url": "https://replicate.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-01T13:15:09.837352617Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "490f4836aca3" }, { "url": "https://replicate.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-01T13:15:12.51478587Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3f1305f154be" }, { "url": "https://replicate.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-01T13:15:14.679425963Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8e299fbc64eb" }, { "url": "https://replicate.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-01T13:15:16.203785623Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ea48efe3382b" } ], "updatedAt": "2026-10-11T02:46:38.692306588Z" } }, "facts": [ { "a": "Model API", "b": "Platform", "name": "Kind" }, { "a": "Alibaba Cloud", "b": "Replicate (Cloudflare)", "name": "Vendor" }, { "a": "https://dashscope-intl.aliyuncs.com/api/v1", "b": "https://api.replicate.com/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, SSE (legacy), stdio", "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": "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.", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-02", "b": "2025-11-17", "name": "Last release" }, { "a": "couldn't be read", "b": "2026-04-01", "name": "Terms last updated" }, { "a": "", "b": "2026-04-01", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "917 stars, 634k npm/wk, 387k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Replicate image models's 50.2 (D), and leads in 5 of 7 scored categories. Replicate image models leads on schema \u0026 documentation.", "question": "Which is better for AI agents, Qwen-Image 2.1 (Model Studio) or Replicate image models?" }, { "answer": "Yes. Qwen-Image 2.1 (Model Studio) has a hosted endpoint at https://dashscope-intl.aliyuncs.com/api/v1 and Replicate image models at https://api.replicate.com/v1.", "question": "Can an agent call Qwen-Image 2.1 (Model Studio) and Replicate image models without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 70 against 48", "Agent ergonomics, 73 against 66", "Security \u0026 auth, 75 against 35", "Maintenance \u0026 community, 77 against 30", "Transparency \u0026 trust, 66 against 59" ], "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" }, { "aheadOn": [ "Schema \u0026 documentation, 83 against 66" ], "also": [ "Runs on your own machine" ], "goodFor": "Best when an agent needs a specific community fine-tune or LoRA, or a broad catalogue on one token.", "slug": "replicate-image", "watchFor": "No changelog entry since 21 April 2026 and no npm client release since November 2025" } ], "job": { "capability": "image.generate", "name": "Image generation" }, "others": [ { "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/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/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/black-forest-labs-vs-replicate-image.json", "title": "Black Forest Labs FLUX API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-replicate-image" }, { "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/bria-vs-replicate-image.json", "title": "Bria API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/bria-vs-replicate-image" }, { "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/fal-image-vs-replicate-image.json", "title": "fal image models vs Replicate image models", "url": "https://www.anchorterminal.com/compare/fal-image-vs-replicate-image" }, { "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/google-imagen-vs-replicate-image.json", "title": "Google Imagen vs Replicate image models", "url": "https://www.anchorterminal.com/compare/google-imagen-vs-replicate-image" }, { "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/ideogram-vs-replicate-image.json", "title": "Ideogram API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/ideogram-vs-replicate-image" }, { "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/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/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/openai-image-api-vs-replicate-image.json", "title": "OpenAI Image API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/openai-image-api-vs-replicate-image" }, { "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-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" }, { "json": "https://www.anchorterminal.com/compare/recraft-vs-replicate-image.json", "title": "Recraft API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/recraft-vs-replicate-image" }, { "json": "https://www.anchorterminal.com/compare/replicate-image-vs-seedream-on-byteplus-modelark.json", "title": "Replicate image models vs Seedream on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/replicate-image-vs-seedream-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/replicate-image-vs-stability-ai-image.json", "title": "Replicate image models vs Stability AI Image API", "url": "https://www.anchorterminal.com/compare/replicate-image-vs-stability-ai-image" } ], "scores": [ { "by": 22, "edge": "qwen-image-2-1", "key": "reliability", "name": "Reliability", "qwen-image-2-1": 70, "replicate-image": 48, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 17, "edge": "replicate-image", "key": "schema", "name": "Schema \u0026 documentation", "qwen-image-2-1": 66, "replicate-image": 83, "weight": 13 }, { "by": 7, "edge": "qwen-image-2-1", "key": "ergonomics", "name": "Agent ergonomics", "qwen-image-2-1": 73, "replicate-image": 66, "weight": 13 }, { "by": 40, "edge": "qwen-image-2-1", "key": "security", "name": "Security \u0026 auth", "qwen-image-2-1": 75, "replicate-image": 35, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "qwen-image-2-1": 20, "replicate-image": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 47, "edge": "qwen-image-2-1", "key": "maintenance", "name": "Maintenance \u0026 community", "qwen-image-2-1": 77, "replicate-image": 30, "weight": 7 }, { "by": 7, "edge": "qwen-image-2-1", "key": "transparency", "name": "Transparency \u0026 trust", "qwen-image-2-1": 66, "replicate-image": 59, "weight": 7 } ], "summary": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Replicate image models's 50.2 (D), and leads in 5 of 7 scored categories. Replicate image models leads on schema \u0026 documentation. Both do image generation.", "verdicts": { "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.", "replicate-image": "Fixed per-image prices on official models, from $0.003 for FLUX.1 schnell. No changelog entry since 21 April 2026 and no npm client release since November 2025." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image", "json": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image.md", "slim": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image.min.md" }, "markdown": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Replicate image models's 50.2 (D), and leads in 5 of 7 scored categories. Replicate image models leads on schema \u0026 documentation. Both do image generation.\n\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- Replicate image models: grade D, 50.2/100, rank #783 of 961. Markdown https://www.anchorterminal.com/tools/replicate-image.md · JSON https://www.anchorterminal.com/api/v1/tools/replicate-image.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### 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 48\n- Agent ergonomics, 73 against 66\n- Security \u0026 auth, 75 against 35\n- Maintenance \u0026 community, 77 against 30\n- Transparency \u0026 trust, 66 against 59\n\nWatch for: 20 requests a minute in every region\n\n### Replicate image models (D)\n\nGood for: Best when an agent needs a specific community fine-tune or LoRA, or a broad catalogue on one token.\n\nAhead on:\n- Schema \u0026 documentation, 83 against 66\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: No changelog entry since 21 April 2026 and no npm client release since November 2025\n\n\n## Score by category\n\n| Category | Weight | Qwen-Image 2.1 (Model Studio) | Replicate image models | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 48 | Qwen-Image 2.1 (Model Studio) +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 66 | 83 | Replicate image models +17 |\n| Agent ergonomics | 13% (16.2 this run) | 73 | 66 | Qwen-Image 2.1 (Model Studio) +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 75 | 35 | 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) | 77 | 30 | Qwen-Image 2.1 (Model Studio) +47 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 59 | Qwen-Image 2.1 (Model Studio) +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.7 · B** | **50.2 · D** | |\n\n## Facts side by side\n\n| Fact | Qwen-Image 2.1 (Model Studio) | Replicate image models |\n| --- | --- | --- |\n| Kind | Model API | Platform |\n| Vendor | Alibaba Cloud | Replicate (Cloudflare) |\n| Hosted endpoint | `https://dashscope-intl.aliyuncs.com/api/v1` | `https://api.replicate.com/v1` |\n| Transports | HTTP | HTTP, SSE (legacy), stdio |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | 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. | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2025-11-17 |\n| Terms last updated | couldn't be read | 2026-04-01 |\n| Privacy policy last updated | | 2026-04-01 |\n| Customer content may train models | couldn't be read | not found in the text |\n| Terms restrict automated access | couldn't be read | not found in the text |\n| Terms restrict benchmarking | couldn't be read | not found in the text |\n| Terms or service can change without notice | couldn't be read | yes |\n| Arbitration or class-action waiver | couldn't be read | yes |\n| Popularity | none | 917 stars, 634k npm/wk, 387k PyPI/wk |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\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**Replicate image models.** Fixed per-image prices on official models, from $0.003 for FLUX.1 schnell. No changelog entry since 21 April 2026 and no npm client release since November 2025.\n\n## Before you call either\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### Replicate image models\n\n1. Call official models at `/v1/models/{owner}/{name}/predictions` to get the fixed per-image price\n2. Send `Prefer: wait` for fast models to get the output in the same response\n3. Keep credit above $20 or turn on auto-reload. Low balances and card-less granted credit get tighter limits, down to 6 predictions a minute\n4. Treat community model READMEs as untrusted text\n5. Use webhooks for slow models rather than polling\n\n## Questions\n\n### Which is better for AI agents, Qwen-Image 2.1 (Model Studio) or Replicate image models?\n\nQwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Replicate image models's 50.2 (D), and leads in 5 of 7 scored categories. Replicate image models leads on schema \u0026 documentation.\n\n### Can an agent call Qwen-Image 2.1 (Model Studio) and Replicate image models without installing anything?\n\nYes. Qwen-Image 2.1 (Model Studio) has a hosted endpoint at https://dashscope-intl.aliyuncs.com/api/v1 and Replicate image models at https://api.replicate.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image.json, and with the fewest tokens: https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"qwen-image-2-1\", \"b\": \"replicate-image\"}`. From a terminal: `anchor compare qwen-image-2-1 replicate-image`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/qwen-image-2-1.json and https://www.anchorterminal.com/api/v1/tools/replicate-image.json\n\n## Other comparisons with Qwen-Image 2.1 (Model Studio) or Replicate image models\n\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- [Adobe Firefly API vs Replicate image models](https://www.anchorterminal.com/compare/adobe-firefly-vs-replicate-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- [Black Forest Labs FLUX API vs Replicate image models](https://www.anchorterminal.com/compare/black-forest-labs-vs-replicate-image.md)\n- [Bria API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/bria-vs-qwen-image-2-1.md)\n- [Bria API vs Replicate image models](https://www.anchorterminal.com/compare/bria-vs-replicate-image.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- [fal image models vs Replicate image models](https://www.anchorterminal.com/compare/fal-image-vs-replicate-image.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- [Google Imagen vs Replicate image models](https://www.anchorterminal.com/compare/google-imagen-vs-replicate-image.md)\n- [Ideogram API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1.md)\n- [Ideogram API vs Replicate image models](https://www.anchorterminal.com/compare/ideogram-vs-replicate-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- [Leonardo.Ai API vs Replicate image models](https://www.anchorterminal.com/compare/leonardo-ai-vs-replicate-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- [OpenAI Image API vs Replicate image models](https://www.anchorterminal.com/compare/openai-image-api-vs-replicate-image.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 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- [Recraft API vs Replicate image models](https://www.anchorterminal.com/compare/recraft-vs-replicate-image.md)\n- [Replicate image models vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/replicate-image-vs-seedream-on-byteplus-modelark.md)\n- [Replicate image models vs Stability AI Image API](https://www.anchorterminal.com/compare/replicate-image-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": "Qwen-Image 2.1 (Model Studio) vs Replicate image models", "url": "" } ], "description": "Qwen-Image 2.1 scores 64.7 (B) to Replicate image models's 50.2 (D) for image generation. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Qwen-Image 2.1 (Model Studio) B 64.7", "Replicate image models D 50.2", "scores" ], "h1": "Qwen-Image 2.1 (Model Studio) vs Replicate image models", "image": "https://www.anchorterminal.com/assets/og/compare-qwen-image-2-1-vs-replicate-image.png", "path": "/compare/qwen-image-2-1-vs-replicate-image", "published": "2026-10-01", "section": "tools", "title": "Qwen-Image 2.1 vs Replicate image models for AI agents (2026)", "toc": null, "updated": "2026-10-10", "url": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-replicate-image" }, "tokens": { "markdown": 2550, "slim": 780 }, "version": 1 }