{
  "data": {
    "a": {
      "slug": "bria",
      "name": "Bria API",
      "vendor": "Bria AI",
      "vendorUrl": "https://bria.ai",
      "kind": "model",
      "category": "image-generation",
      "summary": "Bria's API generates and edits images with its FIBO models, trained on licensed data. It runs as an asynchronous REST API with Python and TypeScript SDKs and an MCP server.",
      "url": "https://www.anchorterminal.com/tools/bria",
      "markdownUrl": "https://www.anchorterminal.com/tools/bria.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/bria.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/bria.json",
      "repo": "https://github.com/Bria-AI/bria-client",
      "transports": [
        "http",
        "streamable-http",
        "stdio"
      ],
      "remoteUrl": "https://engine.prod.bria-api.com/v2",
      "packages": [
        {
          "registry": "pypi",
          "name": "bria-client"
        },
        {
          "registry": "npm",
          "name": "@bria-ai/client"
        },
        {
          "registry": "pypi",
          "name": "bria-mcp"
        }
      ],
      "auth": "mixed",
      "authNotes": "Self-serve organisation API key from the Bria Console, sent in the `api_token` header. An organisation can hold several named keys and revoke each one. No scopes. The hosted MCP server also accepts an OAuth 2.1 bearer token (PKCE, dynamic client registration, device flow) tied to a Bria account. The streaming WebSocket takes `api_token` or `oauth` as a query parameter (https://docs.bria.ai/getting-started/authentication.md).",
      "pricing": "freemium",
      "pricingNotes": "Free plan with 100 calls, no card, at 10 requests a minute. Pay-as-you-go is billed per image, call or second of video, from $0.018 (background removal) to $0.03 (FIBO generation, FIBO Edit) an image, at 60 requests a minute. Enterprise is priced by sales and adds unlimited IP indemnification, SSO, audit logs and self-hosting (https://bria.ai/pricing).",
      "priceSummary": "$0.02 / call",
      "where": "both",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the API docs, the OpenAPI files or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": 18,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 341,
        "pypiWeekly": 3909,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.bria.ai/",
      "llmsTxt": "https://docs.bria.ai/llms.txt",
      "openapi": "https://docs.bria.ai/_bundle/image-generation.yaml",
      "capabilities": [
        "image.generate",
        "image.edit",
        "image.upscale",
        "image.reference"
      ],
      "tags": [
        "hosted",
        "closed-source",
        "mcp",
        "oauth",
        "openapi",
        "llms-txt",
        "python",
        "typescript",
        "async-jobs",
        "webhooks",
        "open-weights",
        "c2pa",
        "watermark",
        "commercial-licence",
        "status-page"
      ],
      "lastRelease": "2026-10-04",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63.7,
        "grade": "B",
        "agentReady": false,
        "rank": 382,
        "ranked": true,
        "rankOf": 961,
        "categoryRank": 5,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 76,
          "maintenance": 69,
          "payments": 40,
          "reliability": 83,
          "schema": 84,
          "security": 33,
          "transparency": 49
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "Per-image prices, 100 free calls without a card, OpenAPI files and Markdown docs make a first call quick, and the terms warrant that customer content is not used for training. Keys are organisation-wide with no scopes, and the API has no changelog or deprecation policy.",
        "bestFor": "Teams that need image generation and editing with a stated training-data licence, C2PA marking and an indemnity (capped on Pay-as-you-go, unlimited on Enterprise), and product-shot or background work at volume.",
        "strengths": [
          "Per-image prices are public, from $0.018 for background removal to $0.03 for FIBO generation and FIBO Edit",
          "The free plan gives 100 calls on every endpoint with no card, at 10 requests a minute",
          "Each API has a downloadable OpenAPI 3.0 file, and every docs page is served as Markdown with an `llms.txt` index",
          "The Online Terms and Conditions warrant that customer content is not used to train generative models without written consent",
          "A returned `seed` and `structured_prompt` reproduce an image when sent back, per the docs"
        ],
        "weaknesses": [
          "API keys are organisation-wide with no scopes, and no spend cap was found in the reviewed documentation",
          "No API changelog or deprecation policy was found, and the OpenAPI files carry an empty version",
          "The streaming background removal WebSocket takes `api_token` as a URL query parameter",
          "No `security.txt`, disclosure policy or bug bounty was found. ISO 27001 and SOC 2 are stated on the site with no report or trust centre linked",
          "All 18 tools in `bria-mcp` are marked read-only and idempotent although each call is billed"
        ],
        "agentNotes": [
          "Send the key in the `api_token` header, not as `Authorization: Bearer`. Only `/v2/image/verify` and `/v2/video/verify` work without it",
          "Expect `202` with `request_id` and `status_url` from v2 endpoints. Poll `GET /v2/status/{request_id}` every 1 to 2 seconds, or pass `sync: true`",
          "Status polls count towards the per-endpoint limit (10 a minute on Free, 60 on Pay-as-you-go), so prefer `webhook_url` for batches",
          "Download results promptly. Image URLs expire after 3 days by default, and legacy `/v1/product/*` results after 1 hour",
          "Do not resend a failed `POST` blindly. There is no idempotency key, and the SDKs retry status polls only"
        ],
        "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": 63.7
          }
        ],
        "editorialScores": {
          "ergonomics": 76,
          "maintenance": 69,
          "payments": 40,
          "reliability": 83,
          "schema": 84,
          "security": 33,
          "transparency": 42
        },
        "provenanceScore": 56
      },
      "connect": {
        "install": "pip install bria-client",
        "http": "curl -X POST https://engine.prod.bria-api.com/v2/image/generate \\\n  -H \"api_token: $BRIA_API_TOKEN\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"prompt\": \"a serene mountain landscape at dawn\", \"aspect_ratio\": \"1:1\"}'",
        "claudeCode": "claude mcp add --transport http bria https://mcp.prod.bria-api.com/mcp \\\n  --header \"api_token: $BRIA_API_TOKEN\"",
        "config": {
          "mcpServers": {
            "bria": {
              "headers": {
                "api_token": "\u003cyour-bria-api-token\u003e"
              },
              "url": "https://mcp.prod.bria-api.com/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/bria"
      },
      "area": "content",
      "unitPrices": [
        {
          "item": "FIBO generation",
          "unit": "image",
          "usd": 0.03,
          "note": "`/v2/image/generate`"
        },
        {
          "item": "FIBO Lite generation",
          "unit": "image",
          "usd": 0.02
        },
        {
          "item": "FIBO Edit",
          "unit": "image",
          "usd": 0.03,
          "note": "instruction editing"
        },
        {
          "item": "Background removal",
          "unit": "image",
          "usd": 0.018
        },
        {
          "item": "Increase resolution",
          "unit": "image",
          "usd": 0.02
        },
        {
          "item": "Structured prompt",
          "unit": "call",
          "usd": 0.02
        },
        {
          "item": "Video background removal",
          "unit": "video-second",
          "usd": 0.0225,
          "note": "pricing page figure. bria.ai/llms.txt says $0.01"
        }
      ],
      "provenance": {
        "legalEntity": "Bria Artificial Intelligence Ltd.",
        "domain": "bria.ai",
        "domainRegistered": "2020-04-03",
        "endpointOnVendorDomain": false,
        "terms": "https://drive.google.com/file/d/1MZaT6xUb5aj9irslyFHSWKMV9epMMXSl/view",
        "privacy": "https://bria.ai/privacy-policy",
        "statusPage": "https://status.bria.ai",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The API answers at engine.prod.bria-api.com and the hosted MCP server at mcp.prod.bria-api.com, a different domain from bria.ai. Bria's own docs name both hosts.",
          "The terms link is the Bria Online AI General Terms and Conditions (March 2025, V1.1), a PDF on Google Drive linked from https://bria.ai/terms-of-use. It defines Online Services to include the APIs and an Order to include confirming a subscription plan on Bria's website. We could not see which terms the console shows at sign-up.",
          "https://bria.ai/terms-of-use is a website terms page that grants personal, non-commercial access and is not used as the terms link.",
          "The privacy policy names Bria Artificial Intelligence Ltd. and covers the 'Bria API' service. It carries no effective date.",
          "The terms give 126 Yigal Alon Street, Tel Aviv, for notices and 1412 Broadway, New York, in the page header.",
          "bria.ai/.well-known/security.txt, docs.bria.ai/.well-known/security.txt and engine.prod.bria-api.com/.well-known/security.txt return 404. platform.bria.ai returns the console's HTML page at that path.",
          "RDAP for bria.ai gives a registration date of 2020-04-03.",
          "status.bria.ai is an Atlassian Statuspage. No API changelog was found in the docs sitemap. The SDK repository has a `CHANGELOG.md` for each language."
        ],
        "score": 56
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/bria.json",
      "live": {
        "slug": "bria",
        "probe": {
          "target": "https://engine.prod.bria-api.com/v2",
          "method": "get",
          "lastAt": "2026-10-11T02:46:20.092801262Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 134,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 262,
          "p95ms24h": 306,
          "samples24h": 248,
          "samples30d": 576,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 50,
              "ok": 50
            },
            {
              "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.bria.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-11T02:40:35.305126778Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "Bria-AI/bria-client",
            "version": "@bria-ai/client-v0.2.0",
            "released": "2026-09-28",
            "seenAt": "2026-10-10T17:37:34.874377029Z"
          },
          {
            "registry": "npm",
            "name": "@bria-ai/client",
            "version": "0.2.0",
            "seenAt": "2026-10-10T17:37:32.871959687Z"
          },
          {
            "registry": "pypi",
            "name": "bria-client",
            "version": "0.3.0",
            "released": "2026-06-24",
            "seenAt": "2026-10-10T17:37:32.688386903Z"
          },
          {
            "registry": "pypi",
            "name": "bria-mcp",
            "version": "2.2.1",
            "released": "2026-10-04",
            "seenAt": "2026-10-10T17:37:33.783194501Z"
          }
        ],
        "githubStars": 2,
        "npmWeekly": 30,
        "pypiWeekly": 3470,
        "securityTxt": {
          "url": "https://bria.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-10T15:41:41.302975662Z"
        },
        "llmsTxt": {
          "url": "https://docs.bria.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-10T14:03:42.998851584Z"
        },
        "pages": [
          {
            "url": "https://bria.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-10T18:57:45.314698006Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "cb5c32665b7c"
          },
          {
            "url": "https://bria.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-10T18:57:48.585742088Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "ccd218c49596"
          },
          {
            "url": "https://drive.google.com/file/d/1MZaT6xUb5aj9irslyFHSWKMV9epMMXSl/view",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-10T19:03:17.272390606Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9cb42166d5ef"
          }
        ],
        "updatedAt": "2026-10-11T02:46:20.092801262Z"
      }
    },
    "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Bria API's 63.7 (B), and leads in 3 of 7 scored categories. Bria API leads on reliability, schema \u0026 documentation and payments \u0026 pricing.",
    "b": {
      "slug": "qwen-image-2-1",
      "name": "Qwen-Image 2.1 (Model Studio)",
      "vendor": "Alibaba Cloud",
      "vendorUrl": "https://www.alibabacloud.com",
      "kind": "model",
      "category": "image-generation",
      "summary": "Qwen-Image 2.1 is Alibaba's image model for text-to-image and image editing with up to 10 reference images and transparent output, callable as qwen-image-2.1-pro through Alibaba Cloud Model Studio's DashScope and OpenAI-compatible APIs.",
      "url": "https://www.anchorterminal.com/tools/qwen-image-2-1",
      "markdownUrl": "https://www.anchorterminal.com/tools/qwen-image-2-1.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qwen-image-2-1.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qwen-image-2-1.json",
      "repo": "https://huggingface.co/Qwen/Qwen-Image-2.1",
      "license": "Closed API under Alibaba Cloud's product terms. Qwen-Image-2.1 weights are on Hugging Face under the Qwen Research License, for non-commercial use only.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://dashscope-intl.aliyuncs.com/api/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "dashscope"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer Model Studio API key, created per region in the console by an account or RAM user with API-Key permission. Keys can be limited to chosen models and an IP allow-list of up to 20 entries, and reset. The model, endpoint and key must be in the same region. Async calls add `X-DashScope-Async: enable`.",
      "pricing": "usage",
      "pricingNotes": "qwen-image-2.1-pro is $0.04 an image in Singapore (International) and $0.035333 in Beijing, Virginia, Frankfurt, Tokyo and Hong Kong, list prices without promotions (model page, checked 10 October 2026). New Singapore users get a 90-day free quota, but whether it covers this model was not confirmed.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Model Studio llms.txt, the Qwen image API reference or the model page, checked 10 October 2026.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-10"
      },
      "docsUrl": "https://www.alibabacloud.com/help/en/model-studio/qwen-image-generation-and-editing-api-reference",
      "llmsTxt": "https://docs.modelstudio.console.alibabacloud.com/llms.txt",
      "capabilities": [
        "image.generate",
        "image.edit",
        "image.reference"
      ],
      "tags": [
        "official",
        "hosted",
        "usage-priced",
        "open-weights",
        "llms-txt",
        "openai-compatible",
        "async-jobs",
        "python",
        "sla",
        "soc2"
      ],
      "lastRelease": "2026-10-02",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.7,
        "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": "Bria AI",
        "b": "Alibaba Cloud",
        "name": "Vendor"
      },
      {
        "a": "https://engine.prod.bria-api.com/v2",
        "b": "https://dashscope-intl.aliyuncs.com/api/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP, stdio",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "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": "18",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-04",
        "b": "2026-10-02",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "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": "341 npm/wk, 3.9k PyPI/wk",
        "b": "none",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Bria API's 63.7 (B), and leads in 3 of 7 scored categories. Bria API leads on reliability, schema \u0026 documentation and payments \u0026 pricing.",
        "question": "Which is better for AI agents, Bria API or Qwen-Image 2.1 (Model Studio)?"
      },
      {
        "answer": "Bria API takes an API key or an OAuth sign-in. Qwen-Image 2.1 (Model Studio) needs an API key.",
        "question": "Do Bria API and Qwen-Image 2.1 (Model Studio) need an API key?"
      },
      {
        "answer": "Yes. Bria API has a hosted endpoint at https://engine.prod.bria-api.com/v2 and Qwen-Image 2.1 (Model Studio) at https://dashscope-intl.aliyuncs.com/api/v1.",
        "question": "Can an agent call Bria API and Qwen-Image 2.1 (Model Studio) without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 83 against 70",
          "Schema \u0026 documentation, 84 against 66",
          "Payments \u0026 pricing, 40 against 20"
        ],
        "also": [
          "Runs on your own machine"
        ],
        "goodFor": "Teams that need image generation and editing with a stated training-data licence, C2PA marking and an indemnity (capped on Pay-as-you-go, unlimited on Enterprise), and product-shot or background work at volume.",
        "slug": "bria",
        "watchFor": "API keys are organisation-wide with no scopes, and no spend cap was found in the reviewed documentation"
      },
      {
        "aheadOn": [
          "Security \u0026 auth, 75 against 33",
          "Maintenance \u0026 community, 77 against 69",
          "Transparency \u0026 trust, 66 against 49"
        ],
        "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-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-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-bria.json",
        "title": "Black Forest Labs FLUX API vs Bria API",
        "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-bria"
      },
      {
        "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-fal-image.json",
        "title": "Bria API vs fal image models",
        "url": "https://www.anchorterminal.com/compare/bria-vs-fal-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bria-vs-google-imagen.json",
        "title": "Bria API vs Google Imagen",
        "url": "https://www.anchorterminal.com/compare/bria-vs-google-imagen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bria-vs-ideogram.json",
        "title": "Bria API vs Ideogram API",
        "url": "https://www.anchorterminal.com/compare/bria-vs-ideogram"
      },
      {
        "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-openai-image-api.json",
        "title": "Bria API vs OpenAI Image API",
        "url": "https://www.anchorterminal.com/compare/bria-vs-openai-image-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bria-vs-recraft.json",
        "title": "Bria API vs Recraft API",
        "url": "https://www.anchorterminal.com/compare/bria-vs-recraft"
      },
      {
        "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/bria-vs-seedream-on-byteplus-modelark.json",
        "title": "Bria API vs Seedream on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/bria-vs-seedream-on-byteplus-modelark"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bria-vs-stability-ai-image.json",
        "title": "Bria API vs Stability AI Image API",
        "url": "https://www.anchorterminal.com/compare/bria-vs-stability-ai-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/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": [
      {
        "bria": 83,
        "by": 13,
        "edge": "bria",
        "key": "reliability",
        "name": "Reliability",
        "qwen-image-2-1": 70,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "bria": 84,
        "by": 18,
        "edge": "bria",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "qwen-image-2-1": 66,
        "weight": 13
      },
      {
        "bria": 76,
        "by": 3,
        "edge": "bria",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "qwen-image-2-1": 73,
        "weight": 13
      },
      {
        "bria": 33,
        "by": 42,
        "edge": "qwen-image-2-1",
        "key": "security",
        "name": "Security \u0026 auth",
        "qwen-image-2-1": 75,
        "weight": 14
      },
      {
        "bria": 40,
        "by": 20,
        "edge": "bria",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "qwen-image-2-1": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "bria": 69,
        "by": 8,
        "edge": "qwen-image-2-1",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "qwen-image-2-1": 77,
        "weight": 7
      },
      {
        "bria": 49,
        "by": 17,
        "edge": "qwen-image-2-1",
        "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 Bria API's 63.7 (B), and leads in 3 of 7 scored categories. Bria API leads on reliability, schema \u0026 documentation and payments \u0026 pricing. Both do image generation.",
    "verdicts": {
      "bria": "Per-image prices, 100 free calls without a card, OpenAPI files and Markdown docs make a first call quick, and the terms warrant that customer content is not used for training. Keys are organisation-wide with no scopes, and the API has no changelog or deprecation policy.",
      "qwen-image-2-1": "qwen-image-2.1-pro generates and edits images with up to 10 references and transparent output, at $0.04 an image in Singapore, through an OpenAI-compatible endpoint or DashScope. Model Studio publishes a 99.9 per cent SLA and a no-training statement. The model allows 20 requests a minute, has no OpenAPI file, and its open weights are for non-commercial use only."
    }
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  "kind": "anchor.page",
  "links": {
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    "html": "https://www.anchorterminal.com/compare/bria-vs-qwen-image-2-1",
    "json": "https://www.anchorterminal.com/compare/bria-vs-qwen-image-2-1.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/bria-vs-qwen-image-2-1.md",
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  "markdown": "Qwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Bria API's 63.7 (B), and leads in 3 of 7 scored categories. Bria API leads on reliability, schema \u0026 documentation and payments \u0026 pricing. Both do image generation.\n\n- Bria API: grade B, 63.7/100, rank #382 of 961. Markdown https://www.anchorterminal.com/tools/bria.md · JSON https://www.anchorterminal.com/api/v1/tools/bria.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### Bria API (B)\n\nGood for: Teams that need image generation and editing with a stated training-data licence, C2PA marking and an indemnity (capped on Pay-as-you-go, unlimited on Enterprise), and product-shot or background work at volume.\n\nAhead on:\n- Reliability, 83 against 70\n- Schema \u0026 documentation, 84 against 66\n- Payments \u0026 pricing, 40 against 20\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: API keys are organisation-wide with no scopes, and no spend cap was found in the reviewed documentation\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- Security \u0026 auth, 75 against 33\n- Maintenance \u0026 community, 77 against 69\n- Transparency \u0026 trust, 66 against 49\n\nWatch for: 20 requests a minute in every region\n\n\n## Score by category\n\n| Category | Weight | Bria API | Qwen-Image 2.1 (Model Studio) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 83 | 70 | Bria API +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 84 | 66 | Bria API +18 |\n| Agent ergonomics | 13% (16.2 this run) | 76 | 73 | Bria API +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 33 | 75 | Qwen-Image 2.1 (Model Studio) +42 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 20 | Bria API +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 69 | 77 | Qwen-Image 2.1 (Model Studio) +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 49 | 66 | Qwen-Image 2.1 (Model Studio) +17 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.7 · B** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Bria API | Qwen-Image 2.1 (Model Studio) |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Bria AI | Alibaba Cloud |\n| Hosted endpoint | `https://engine.prod.bria-api.com/v2` | `https://dashscope-intl.aliyuncs.com/api/v1` |\n| Transports | HTTP, Streamable HTTP, stdio | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | 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| Tools exposed | 18 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-04 | 2026-10-02 |\n| Terms last updated | couldn't be read | couldn't be read |\n| Privacy policy last updated | no date given |  |\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 | 341 npm/wk, 3.9k PyPI/wk | none |\n\n## Verdicts\n\n**Bria API.** Per-image prices, 100 free calls without a card, OpenAPI files and Markdown docs make a first call quick, and the terms warrant that customer content is not used for training. Keys are organisation-wide with no scopes, and the API has no changelog or deprecation policy.\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### Bria API\n\n1. Send the key in the `api_token` header, not as `Authorization: Bearer`. Only `/v2/image/verify` and `/v2/video/verify` work without it\n2. Expect `202` with `request_id` and `status_url` from v2 endpoints. Poll `GET /v2/status/{request_id}` every 1 to 2 seconds, or pass `sync: true`\n3. Status polls count towards the per-endpoint limit (10 a minute on Free, 60 on Pay-as-you-go), so prefer `webhook_url` for batches\n4. Download results promptly. Image URLs expire after 3 days by default, and legacy `/v1/product/*` results after 1 hour\n5. Do not resend a failed `POST` blindly. There is no idempotency key, and the SDKs retry status polls only\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, Bria API or Qwen-Image 2.1 (Model Studio)?\n\nQwen-Image 2.1 (Model Studio) scores 64.7 (B) on agent readiness against Bria API's 63.7 (B), and leads in 3 of 7 scored categories. Bria API leads on reliability, schema \u0026 documentation and payments \u0026 pricing.\n\n### Do Bria API and Qwen-Image 2.1 (Model Studio) need an API key?\n\nBria API takes an API key or an OAuth sign-in. Qwen-Image 2.1 (Model Studio) needs an API key.\n\n### Can an agent call Bria API and Qwen-Image 2.1 (Model Studio) without installing anything?\n\nYes. Bria API has a hosted endpoint at https://engine.prod.bria-api.com/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/bria-vs-qwen-image-2-1.json, and with the fewest tokens: https://www.anchorterminal.com/compare/bria-vs-qwen-image-2-1.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"bria\", \"b\": \"qwen-image-2-1\"}`. From a terminal: `anchor compare bria qwen-image-2-1`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/bria.json and https://www.anchorterminal.com/api/v1/tools/qwen-image-2-1.json\n\n## Other comparisons with Bria API or Qwen-Image 2.1 (Model Studio)\n\n- [Adobe Firefly API vs Bria API](https://www.anchorterminal.com/compare/adobe-firefly-vs-bria.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 Bria API](https://www.anchorterminal.com/compare/black-forest-labs-vs-bria.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 fal image models](https://www.anchorterminal.com/compare/bria-vs-fal-image.md)\n- [Bria API vs Google Imagen](https://www.anchorterminal.com/compare/bria-vs-google-imagen.md)\n- [Bria API vs Ideogram API](https://www.anchorterminal.com/compare/bria-vs-ideogram.md)\n- [Bria API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/bria-vs-leonardo-ai.md)\n- [Bria API vs OpenAI Image API](https://www.anchorterminal.com/compare/bria-vs-openai-image-api.md)\n- [Bria API vs Recraft API](https://www.anchorterminal.com/compare/bria-vs-recraft.md)\n- [Bria API vs Replicate image models](https://www.anchorterminal.com/compare/bria-vs-replicate-image.md)\n- [Bria API vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/bria-vs-seedream-on-byteplus-modelark.md)\n- [Bria API vs Stability AI Image API](https://www.anchorterminal.com/compare/bria-vs-stability-ai-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- [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",
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    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-11",
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