{
  "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": 406,
        "ranked": true,
        "rankOf": 1094,
        "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": "2026-10-15T11:29:48.505430424Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 114,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 259,
          "p95ms24h": 296,
          "samples24h": 254,
          "samples30d": 1661,
          "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": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 123,
              "ok": 123
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.bria.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-15T11:31:44.315642775Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "Bria-AI/bria-client",
            "version": "@bria-ai/client-v0.2.0",
            "released": "2026-09-28",
            "seenAt": "2026-10-14T23:42:31.29611463Z"
          },
          {
            "registry": "npm",
            "name": "@bria-ai/client",
            "version": "0.2.0",
            "seenAt": "2026-10-14T23:42:29.473594465Z"
          },
          {
            "registry": "pypi",
            "name": "bria-client",
            "version": "0.3.0",
            "released": "2026-06-24",
            "seenAt": "2026-10-14T23:42:29.287890595Z"
          },
          {
            "registry": "pypi",
            "name": "bria-mcp",
            "version": "2.4.0",
            "released": "2026-10-14",
            "seenAt": "2026-10-14T23:42:30.399770994Z"
          }
        ],
        "githubStars": 2,
        "npmWeekly": 29,
        "pypiWeekly": 2237,
        "securityTxt": {
          "url": "https://bria.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-14T15:47:20.315192867Z"
        },
        "llmsTxt": {
          "url": "https://docs.bria.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-14T14:13:31.852470031Z"
        },
        "domain": {
          "domain": "bria.ai",
          "registered": "2020-04-03",
          "source": "https://rdap.identitydigital.services/rdap/domain/bria.ai",
          "checkedAt": "2026-10-11T13:12:04.645872251Z"
        },
        "pages": [
          {
            "url": "https://bria.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-14T20:54:33.569102221Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "cb5c32665b7c"
          },
          {
            "url": "https://bria.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-14T20:54:35.964409958Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "ccd218c49596"
          },
          {
            "url": "https://drive.google.com/file/d/1MZaT6xUb5aj9irslyFHSWKMV9epMMXSl/view",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-14T21:00:08.298339133Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9cb42166d5ef"
          }
        ],
        "updatedAt": "2026-10-15T11:31:44.315642775Z"
      }
    },
    "answer": "Bria API scores 63.7 (B) on agent readiness against Iris-3B's 50.9 (D), and leads in 4 of 7 scored categories. Iris-3B leads on security \u0026 auth and payments \u0026 pricing.",
    "b": {
      "slug": "iris-3b",
      "name": "Iris-3B",
      "vendor": "Speridlabs",
      "vendorUrl": "https://speridlabs.com",
      "kind": "model",
      "category": "image-generation",
      "summary": "Iris-3B is an Apache-2.0 open-weight text-to-image model from Speridlabs that generates pixels directly, with no VAE. The release adds a 4-step Turbo version and fine-tunes for monocular depth and 4x image restoration.",
      "url": "https://www.anchorterminal.com/tools/iris-3b",
      "markdownUrl": "https://www.anchorterminal.com/tools/iris-3b.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/iris-3b.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/iris-3b.json",
      "repo": "https://github.com/speridlabs/iris-3b",
      "license": "Apache-2.0 (code and weights)",
      "transports": [],
      "packages": [],
      "auth": "none",
      "authNotes": "No account or key. Weights download from a public, ungated Hugging Face repository, and the frozen Qwen3-VL-4B-Instruct text encoder downloads from its publisher on the first run. The software opens no network service.",
      "pricing": "free",
      "pricingNotes": "Free under Apache-2.0 with nothing to buy. Speridlabs has no hosted API or paid plan. The owner pays for an NVIDIA GPU. The demo Spaces run on Hugging Face ZeroGPU.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the repository, the model card or the project page (checked 2026-10-15). There is no paid tier or hosted endpoint.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 175,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-15"
      },
      "docsUrl": "https://huggingface.co/speridlabs/iris-3b",
      "capabilities": [
        "image.generate",
        "image.upscale"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "no-card",
        "apache-2.0",
        "python",
        "gpu",
        "new"
      ],
      "lastRelease": "2026-10-12",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 50.9,
        "grade": "D",
        "agentReady": false,
        "rank": 826,
        "ranked": true,
        "rankOf": 1094,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 54,
          "maintenance": 70,
          "payments": 60,
          "reliability": 45,
          "schema": 47,
          "security": 44,
          "transparency": 47
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-15"
        },
        "negative": 0,
        "verdict": "Code and weights are Apache-2.0, and one Python package runs text-to-image, a 4-step Turbo, depth and 4x restoration from a documented CLI. It is ten days old, with no PyPI package, version tags, changelog or CI, needs an NVIDIA GPU and about 12 GB of weights, and has no server or API of its own.",
        "bestFor": "An agent on a machine with a CUDA GPU that needs Apache-2.0 image generation, relative depth or 4x restoration without a vendor account.",
        "strengths": [
          "Code, training recipe and all four checkpoints are under Apache-2.0, with a NOTICE file and a table of third-party licences",
          "One CLI, `scripts/sample.py`, with typed flags and documented defaults (1024x1024, 100 steps, CFG 3), plus Python classes for depth and restoration",
          "Turbo samples a 1024x1024 image in 4 steps, which the vendor times at about 0.7 s on one H100 at batch 4",
          "Released weights are safetensors, and a published benchmark table covers GenEval, DPG-Bench, LongText-Bench and OneIG-Bench",
          "Three dated weight releases in eight days (5, 8 and 12 October 2026), and two outside pull requests merged within two days"
        ],
        "weaknesses": [
          "No package on PyPI, no version tags, no changelog and no CI workflow. Install is a git clone and `pip install -e .`",
          "Needs an NVIDIA GPU with CUDA. All three models together take about 45 GB of GPU memory, or about 20 GB peak with offloading",
          "No HTTP server, OpenAPI or MCP interface. The only hosted route is the Gradio demo Spaces on Hugging Face ZeroGPU",
          "No safety filter in the code, no SECURITY.md or security.txt, and no privacy or terms pages on speridlabs.com",
          "Training defaults to reporting runs to Weights \u0026 Biases (`report_to: wandb`), which the README doesn't mention"
        ],
        "agentNotes": [
          "Check for an NVIDIA GPU with CUDA and Python 3.11 or newer before downloading. The base weights are about 12 GB, and Qwen3-VL-4B downloads on the first run",
          "Exclude `depth/*`, `upscaler/*` and `turbo/*` in `hf download` unless those models are needed. Each of the first two adds about 12 GB",
          "Don't pass `--steps`, `--cfg-scale`, `--negative-prompt`, `--order` or `--shift` with a Turbo checkpoint. The script exits with an error",
          "Pass `--seed` to reproduce an image, and set `--outdir`, since files are named after the prompt and a repeat run overwrites them",
          "Load only exported directories (`model.safetensors` and `config.yaml`). A training `.pth` is read with `torch.load(weights_only=False)`, so never load one from an untrusted source"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 50.9
          }
        ],
        "editorialScores": {
          "ergonomics": 54,
          "maintenance": 70,
          "payments": 60,
          "reliability": 45,
          "schema": 47,
          "security": 44,
          "transparency": 50
        },
        "provenanceScore": 44
      },
      "connect": {
        "install": "git clone https://github.com/speridlabs/iris-3b.git \u0026\u0026 cd iris-3b \u0026\u0026 pip install -e .\nhf download speridlabs/iris-3b --local-dir iris-3b --exclude \"depth/*\" \"upscaler/*\" \"turbo/*\"\npython scripts/sample.py --checkpoint iris-3b --prompt \"a red fox sleeping in fresh snow, golden hour\""
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/iris-3b"
      },
      "area": "content",
      "provenance": {
        "legalEntity": "Speridlabs",
        "domain": "speridlabs.com",
        "domainRegistered": "2025-02-25",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-15",
        "notes": [
          "The NOTICE file reads Copyright 2026 Speridlabs. The site's schema.org data names the organisation Sperid Labs, founded 2024, with contact@speridlabs.com. No registered company name or address was found on speridlabs.com.",
          "RDAP at Verisign gives a registration date of 2025-02-25 for speridlabs.com.",
          "speridlabs.com has no terms or privacy page. /privacy, /terms, /legal and /privacy-policy returned 404 on 15 October 2026, and the sitemap lists none. The Apache-2.0 licence stands in for terms for the code and weights.",
          "speridlabs.com/.well-known/security.txt returned 404 on 15 October 2026. The repository has no SECURITY.md.",
          "No changelog, release notes or tags. Dated commits on GitHub and on the Hugging Face model repository are the only record of changes.",
          "Software the owner runs, so there is no vendor endpoint or status page. The demo Spaces run on Hugging Face infrastructure."
        ],
        "score": 44
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/iris-3b.json"
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Bria AI",
        "b": "Speridlabs",
        "name": "Vendor"
      },
      {
        "a": "https://engine.prod.bria-api.com/v2",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP, stdio",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "none",
        "b": "Apache-2.0 (code and weights)",
        "name": "Licence"
      },
      {
        "a": "18",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-04",
        "b": "2026-10-12",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "341 npm/wk, 3.9k PyPI/wk",
        "b": "175 stars",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Bria API scores 63.7 (B) on agent readiness against Iris-3B's 50.9 (D), and leads in 4 of 7 scored categories. Iris-3B leads on security \u0026 auth and payments \u0026 pricing.",
        "question": "Which is better for AI agents, Bria API or Iris-3B?"
      },
      {
        "answer": "Bria API takes an API key or an OAuth sign-in. Iris-3B needs no key.",
        "question": "Do Bria API and Iris-3B need an API key?"
      },
      {
        "answer": "Bria API has a hosted endpoint at https://engine.prod.bria-api.com/v2. No hosted endpoint is listed for Iris-3B.",
        "question": "Can an agent call Bria API and Iris-3B without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Bria API. Iris-3B is open source (Apache-2.0 (code and weights)).",
        "question": "Are Bria API and Iris-3B open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 83 against 45",
          "Schema \u0026 documentation, 84 against 47",
          "Agent ergonomics, 76 against 54"
        ],
        "also": [
          "A hosted endpoint, with nothing to install",
          "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, 44 against 33",
          "Payments \u0026 pricing, 60 against 40"
        ],
        "also": [
          "No key needed to call it",
          "Free to start without a card",
          "Open source"
        ],
        "goodFor": "An agent on a machine with a CUDA GPU that needs Apache-2.0 image generation, relative depth or 4x restoration without a vendor account.",
        "slug": "iris-3b",
        "watchFor": "No package on PyPI, no version tags, no changelog and no CI workflow. Install is a git clone and `pip install -e .`"
      }
    ],
    "job": {
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      "name": "Image generation"
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    "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-iris-3b.json",
        "title": "Adobe Firefly API vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-iris-3b"
      },
      {
        "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-iris-3b.json",
        "title": "Black Forest Labs FLUX API vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-iris-3b"
      },
      {
        "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-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-recraft.json",
        "title": "Bria API vs Recraft API",
        "url": "https://www.anchorterminal.com/compare/bria-vs-recraft"
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      {
        "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-iris-3b.json",
        "title": "fal image models vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/fal-image-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.json",
        "title": "Google Imagen vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.json",
        "title": "Ideogram API vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/ideogram-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.json",
        "title": "Iris-3B vs Leonardo.Ai API",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.json",
        "title": "Iris-3B vs OpenAI Image API",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1.json",
        "title": "Iris-3B vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-recraft.json",
        "title": "Iris-3B vs Recraft API",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-recraft"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-replicate-image.json",
        "title": "Iris-3B vs Replicate image models",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-replicate-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-seedream-on-byteplus-modelark.json",
        "title": "Iris-3B vs Seedream on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-seedream-on-byteplus-modelark"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-stability-ai-image.json",
        "title": "Iris-3B vs Stability AI Image API",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-stability-ai-image"
      }
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    "scores": [
      {
        "bria": 83,
        "by": 38,
        "edge": "bria",
        "iris-3b": 45,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "bria": 84,
        "by": 37,
        "edge": "bria",
        "iris-3b": 47,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "bria": 76,
        "by": 22,
        "edge": "bria",
        "iris-3b": 54,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "bria": 33,
        "by": 11,
        "edge": "iris-3b",
        "iris-3b": 44,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "bria": 40,
        "by": 20,
        "edge": "iris-3b",
        "iris-3b": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "bria": 69,
        "by": 1,
        "edge": "iris-3b",
        "iris-3b": 70,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "bria": 49,
        "by": 2,
        "edge": "bria",
        "iris-3b": 47,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Bria API scores 63.7 (B) on agent readiness against Iris-3B's 50.9 (D), and leads in 4 of 7 scored categories. Iris-3B leads on security \u0026 auth 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.",
      "iris-3b": "Code and weights are Apache-2.0, and one Python package runs text-to-image, a 4-step Turbo, depth and 4x restoration from a documented CLI. It is ten days old, with no PyPI package, version tags, changelog or CI, needs an NVIDIA GPU and about 12 GB of weights, and has no server or API of its own."
    }
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  "markdown": "Bria API scores 63.7 (B) on agent readiness against Iris-3B's 50.9 (D), and leads in 4 of 7 scored categories. Iris-3B leads on security \u0026 auth and payments \u0026 pricing. Both do image generation.\n\n- Bria API: grade B, 63.7/100, rank #406 of 1094. Markdown https://www.anchorterminal.com/tools/bria.md · JSON https://www.anchorterminal.com/api/v1/tools/bria.json\n- Iris-3B: grade D, 50.9/100, rank #826 of 1094. Markdown https://www.anchorterminal.com/tools/iris-3b.md · JSON https://www.anchorterminal.com/api/v1/tools/iris-3b.json\n- Best image generation for AI agents: https://www.anchorterminal.com/best/image-generation/index.md\n- All 91 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 45\n- Schema \u0026 documentation, 84 against 47\n- Agent ergonomics, 76 against 54\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\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### Iris-3B (D)\n\nGood for: An agent on a machine with a CUDA GPU that needs Apache-2.0 image generation, relative depth or 4x restoration without a vendor account.\n\nAhead on:\n- Security \u0026 auth, 44 against 33\n- Payments \u0026 pricing, 60 against 40\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- Open source\n\nWatch for: No package on PyPI, no version tags, no changelog and no CI workflow. Install is a git clone and `pip install -e .`\n\n\n## Score by category\n\n| Category | Weight | Bria API | Iris-3B | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 83 | 45 | Bria API +38 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 84 | 47 | Bria API +37 |\n| Agent ergonomics | 13% (16.2 this run) | 76 | 54 | Bria API +22 |\n| Security \u0026 auth | 14% (17.5 this run) | 33 | 44 | Iris-3B +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 60 | Iris-3B +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 69 | 70 | Iris-3B +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 49 | 47 | Bria API +2 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.7 · B** | **50.9 · D** | |\n\n## Facts side by side\n\n| Fact | Bria API | Iris-3B |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Bria AI | Speridlabs |\n| Hosted endpoint | `https://engine.prod.bria-api.com/v2` | no (local only) |\n| Transports | HTTP, Streamable HTTP, stdio |  |\n| Auth | OAuth or key | None |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | none | Apache-2.0 (code and weights) |\n| Tools exposed | 18 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-04 | 2026-10-12 |\n| Terms last updated | couldn't be read | no document linked |\n| Privacy policy last updated | no date given | no document linked |\n| Customer content may train models | couldn't be read |  |\n| Terms restrict automated access | couldn't be read |  |\n| Terms restrict benchmarking | couldn't be read |  |\n| Terms or service can change without notice | couldn't be read |  |\n| Arbitration or class-action waiver | couldn't be read |  |\n| Popularity | 341 npm/wk, 3.9k PyPI/wk | 175 stars |\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**Iris-3B.** Code and weights are Apache-2.0, and one Python package runs text-to-image, a 4-step Turbo, depth and 4x restoration from a documented CLI. It is ten days old, with no PyPI package, version tags, changelog or CI, needs an NVIDIA GPU and about 12 GB of weights, and has no server or API of its own.\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### Iris-3B\n\n1. Check for an NVIDIA GPU with CUDA and Python 3.11 or newer before downloading. The base weights are about 12 GB, and Qwen3-VL-4B downloads on the first run\n2. Exclude `depth/*`, `upscaler/*` and `turbo/*` in `hf download` unless those models are needed. Each of the first two adds about 12 GB\n3. Don't pass `--steps`, `--cfg-scale`, `--negative-prompt`, `--order` or `--shift` with a Turbo checkpoint. The script exits with an error\n4. Pass `--seed` to reproduce an image, and set `--outdir`, since files are named after the prompt and a repeat run overwrites them\n5. Load only exported directories (`model.safetensors` and `config.yaml`). A training `.pth` is read with `torch.load(weights_only=False)`, so never load one from an untrusted source\n\n## Questions\n\n### Which is better for AI agents, Bria API or Iris-3B?\n\nBria API scores 63.7 (B) on agent readiness against Iris-3B's 50.9 (D), and leads in 4 of 7 scored categories. Iris-3B leads on security \u0026 auth and payments \u0026 pricing.\n\n### Do Bria API and Iris-3B need an API key?\n\nBria API takes an API key or an OAuth sign-in. Iris-3B needs no key.\n\n### Can an agent call Bria API and Iris-3B without installing anything?\n\nBria API has a hosted endpoint at https://engine.prod.bria-api.com/v2. No hosted endpoint is listed for Iris-3B.\n\n### Are Bria API and Iris-3B open source?\n\nNo open-source release is listed for Bria API. Iris-3B is open source (Apache-2.0 (code and weights)).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/bria-vs-iris-3b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/bria-vs-iris-3b.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"bria\", \"b\": \"iris-3b\"}`. From a terminal: `anchor compare bria iris-3b`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/bria.json and https://www.anchorterminal.com/api/v1/tools/iris-3b.json\n\n## Other comparisons with Bria API or Iris-3B\n\n- [Adobe Firefly API vs Bria API](https://www.anchorterminal.com/compare/adobe-firefly-vs-bria.md)\n- [Adobe Firefly API vs Iris-3B](https://www.anchorterminal.com/compare/adobe-firefly-vs-iris-3b.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 Iris-3B](https://www.anchorterminal.com/compare/black-forest-labs-vs-iris-3b.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 Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/bria-vs-qwen-image-2-1.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 Iris-3B](https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.md)\n- [Google Imagen vs Iris-3B](https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.md)\n- [Ideogram API vs Iris-3B](https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.md)\n- [Iris-3B vs Leonardo.Ai API](https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.md)\n- [Iris-3B vs OpenAI Image API](https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.md)\n- [Iris-3B vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1.md)\n- [Iris-3B vs Recraft API](https://www.anchorterminal.com/compare/iris-3b-vs-recraft.md)\n- [Iris-3B vs Replicate image models](https://www.anchorterminal.com/compare/iris-3b-vs-replicate-image.md)\n- [Iris-3B vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/iris-3b-vs-seedream-on-byteplus-modelark.md)\n- [Iris-3B vs Stability AI Image API](https://www.anchorterminal.com/compare/iris-3b-vs-stability-ai-image.md)\n",
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    "description": "Bria scores 63.7 (B) to Iris-3B's 50.9 (D) for image generation. Prices, MCP, x402, uptime and agent notes side by side.",
    "facts": [
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      "Iris-3B D 50.9",
      "scores"
    ],
    "h1": "Bria API vs Iris-3B",
    "image": "https://www.anchorterminal.com/assets/og/compare-bria-vs-iris-3b.png",
    "path": "/compare/bria-vs-iris-3b",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Bria vs Iris-3B for AI agents in 2026: scores and prices",
    "toc": null,
    "updated": "2026-10-15",
    "url": "https://www.anchorterminal.com/compare/bria-vs-iris-3b"
  },
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  "version": 1
}