{
  "data": {
    "a": {
      "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"
    },
    "answer": "Iris-3B scores 50.9 (D) on agent readiness against Stability AI Image API's 42.3 (E), and leads in 5 of 7 scored categories. Stability AI Image API leads on reliability and transparency \u0026 trust.",
    "b": {
      "slug": "stability-ai-image",
      "name": "Stability AI Image API",
      "vendor": "Stability AI",
      "vendorUrl": "https://platform.stability.ai",
      "kind": "model",
      "category": "image-generation",
      "summary": "Stability AI's hosted REST API for image generation, editing and upscaling.",
      "url": "https://www.anchorterminal.com/tools/stability-ai-image",
      "markdownUrl": "https://www.anchorterminal.com/tools/stability-ai-image.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/stability-ai-image.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/stability-ai-image.json",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.stability.ai/v2beta",
      "packages": [],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with a key from the platform account page. Most v2beta endpoints take multipart form data and return raw image bytes when you send `accept: image/*`.",
      "pricing": "usage",
      "pricingNotes": "25 free credits on sign-up, then $10 per 1,000 credits (1 credit is $0.01). Stable Image Ultra 8 credits, SD 3.5 Large 6.5, Large Turbo 4, Medium 3.5, Flash 2.5, Stable Image Core 3, SDXL from 0.9. Edit tools 4 to 8 credits, upscalers 2 (Fast), 40 (Conservative) and 60 (Creative). Prices rose for some services on 2025-08-01 (https://platform.stability.ai/pricing).",
      "priceSummary": "$0.01 / credit",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Access needs prepaid credits on a platform account.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://platform.stability.ai/docs/api-reference",
      "capabilities": [
        "image.generate",
        "image.edit",
        "image.upscale",
        "image.reference"
      ],
      "tags": [
        "hosted",
        "closed-source",
        "async-jobs",
        "c2pa",
        "commercial-licence"
      ],
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 42.3,
        "grade": "E",
        "agentReady": false,
        "rank": 983,
        "ranked": true,
        "rankOf": 1094,
        "categoryRank": 12,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 48,
          "maintenance": 8,
          "payments": 40,
          "reliability": 60,
          "schema": 39,
          "security": 30,
          "transparency": 59
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Fixed price per call for every endpoint, published in credits. No new image model we could date since SD 3.5 Flash in July 2025.",
        "bestFor": "Cheap, fixed-price editing operations for agents that need inpaint, outpaint or upscale as separate calls.",
        "strengths": [
          "Fixed price per call for every endpoint, published in credits",
          "25 free credits on sign-up",
          "Many editing endpoints (inpaint, outpaint, erase, recolour, relight, style transfer)",
          "C2PA signing and CSAM filtering on outputs",
          "`accept: image/*` returns raw bytes, so there's no second download step"
        ],
        "weaknesses": [
          "No new image model we could date since SD 3.5 Flash in July 2025",
          "A major incident on 14 September 2026 returned elevated 500s on generation endpoints for 4 hours 8 minutes",
          "Official Python SDK is the legacy gRPC client, last released in May 2024",
          "Docs, pricing and release notes are a single-page app with no llms.txt or OpenAPI spec",
          "No security.txt, no scoped keys, and API inputs and outputs may train models unless you opt out"
        ],
        "agentNotes": [
          "Send `accept: image/*` to get bytes back, or `application/json` for base64",
          "Stay under 150 requests every 10 seconds. A 429 locks you out for 60 seconds",
          "Poll the result endpoint with the returned id for async edit and upscale calls",
          "Use Stable Image Core or SD 3.5 Flash for drafts, Ultra for finals",
          "Send multipart form data, not JSON"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "E",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 42.3
          }
        ],
        "editorialScores": {
          "ergonomics": 48,
          "maintenance": 8,
          "payments": 40,
          "reliability": 60,
          "schema": 39,
          "security": 30,
          "transparency": 40
        },
        "provenanceScore": 78
      },
      "connect": {
        "http": "curl -f -sS https://api.stability.ai/v2beta/stable-image/generate/core \\\n  -H \"Authorization: Bearer $STABILITY_API_KEY\" -H \"accept: image/*\" \\\n  -F prompt=\"a lighthouse on a cliff at dusk\" -F output_format=webp -o lighthouse.webp"
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/stability-ai-image"
      },
      "sameCompany": [
        "stable-audio"
      ],
      "area": "content",
      "unitPrices": [
        {
          "item": "Stable Image Core",
          "unit": "image",
          "usd": 0.03,
          "note": "3 credits, default settings"
        },
        {
          "item": "Stable Image Ultra",
          "unit": "image",
          "usd": 0.08,
          "note": "8 credits"
        },
        {
          "item": "SD 3.5 Large",
          "unit": "image",
          "usd": 0.065,
          "note": "6.5 credits"
        },
        {
          "item": "SD 3.5 Flash",
          "unit": "image",
          "usd": 0.025,
          "note": "2.5 credits"
        },
        {
          "item": "Credits",
          "unit": "credit",
          "usd": 0.01,
          "note": "bought in $10 blocks"
        }
      ],
      "provenance": {
        "legalEntity": "Stability AI Ltd",
        "domain": "stability.ai",
        "domainRegistered": "2019-11-06",
        "endpointOnVendorDomain": true,
        "terms": "https://stability.ai/terms-of-service",
        "privacy": "https://stability.ai/privacypolicy",
        "statusPage": "https://status.stability.ai",
        "changelog": "https://platform.stability.ai/docs/release-notes",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Customers in the UK, EU and Switzerland contract with Stability AI Ltd (England and Wales). Everyone else contracts with Stability AI US Services Corporation (Delaware)."
        ],
        "score": 78
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/stability-ai-image.json",
      "live": {
        "slug": "stability-ai-image",
        "probe": {
          "target": "https://api.stability.ai/v2beta",
          "method": "get",
          "lastAt": "2026-10-15T11:30:12.132154704Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 198,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 189,
          "p95ms24h": 288,
          "samples24h": 254,
          "samples30d": 3797,
          "days": [
            {
              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 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.stability.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-15T11:32:32.222041619Z"
        },
        "securityTxt": {
          "url": "https://stability.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-14T15:47:48.917430035Z"
        },
        "domain": {
          "domain": "stability.ai",
          "registered": "2019-11-06",
          "source": "https://rdap.identitydigital.services/rdap/domain/stability.ai",
          "checkedAt": "2026-10-11T13:19:00.248779293Z"
        },
        "pages": [
          {
            "url": "https://platform.stability.ai/docs/release-notes",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-14T21:05:03.482588094Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          },
          {
            "url": "https://stability.ai/terms-of-service",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-14T21:07:50.819840836Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "fa6452f1e97e"
          },
          {
            "url": "https://platform.stability.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-14T21:05:05.598759686Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          },
          {
            "url": "https://stability.ai/privacypolicy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-14T21:07:49.036942995Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "3637f705edef"
          }
        ],
        "updatedAt": "2026-10-15T11:32:32.222041619Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Speridlabs",
        "b": "Stability AI",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.stability.ai/v2beta",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (code and weights)",
        "b": "none",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-12",
        "b": "none",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "2026-09-30",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2026-09-30",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "yes, with an opt-out",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "175 stars",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Iris-3B scores 50.9 (D) on agent readiness against Stability AI Image API's 42.3 (E), and leads in 5 of 7 scored categories. Stability AI Image API leads on reliability and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Iris-3B or Stability AI Image API?"
      },
      {
        "answer": "Iris-3B needs no key. Stability AI Image API needs an API key.",
        "question": "Do Iris-3B and Stability AI Image API need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for Iris-3B. Stability AI Image API has a hosted endpoint at https://api.stability.ai/v2beta.",
        "question": "Can an agent call Iris-3B and Stability AI Image API without installing anything?"
      },
      {
        "answer": "Iris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for Stability AI Image API.",
        "question": "Are Iris-3B and Stability AI Image API open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 47 against 39",
          "Agent ergonomics, 54 against 48",
          "Security \u0026 auth, 44 against 30",
          "Payments \u0026 pricing, 60 against 40",
          "Maintenance \u0026 community, 70 against 8"
        ],
        "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 .`"
      },
      {
        "aheadOn": [
          "Reliability, 60 against 45",
          "Transparency \u0026 trust, 59 against 47"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Cheap, fixed-price editing operations for agents that need inpaint, outpaint or upscale as separate calls.",
        "slug": "stability-ai-image",
        "watchFor": "No new image model we could date since SD 3.5 Flash in July 2025"
      }
    ],
    "job": {
      "capability": "image.generate",
      "name": "Image generation"
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        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-recraft.json",
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      {
        "by": 15,
        "edge": "stability-ai-image",
        "iris-3b": 45,
        "key": "reliability",
        "name": "Reliability",
        "stability-ai-image": 60,
        "weight": 16
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      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
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      {
        "by": 8,
        "edge": "iris-3b",
        "iris-3b": 47,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "stability-ai-image": 39,
        "weight": 13
      },
      {
        "by": 6,
        "edge": "iris-3b",
        "iris-3b": 54,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "stability-ai-image": 48,
        "weight": 13
      },
      {
        "by": 14,
        "edge": "iris-3b",
        "iris-3b": 44,
        "key": "security",
        "name": "Security \u0026 auth",
        "stability-ai-image": 30,
        "weight": 14
      },
      {
        "by": 20,
        "edge": "iris-3b",
        "iris-3b": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "stability-ai-image": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 62,
        "edge": "iris-3b",
        "iris-3b": 70,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "stability-ai-image": 8,
        "weight": 7
      },
      {
        "by": 12,
        "edge": "stability-ai-image",
        "iris-3b": 47,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "stability-ai-image": 59,
        "weight": 7
      }
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    "summary": "Iris-3B scores 50.9 (D) on agent readiness against Stability AI Image API's 42.3 (E), and leads in 5 of 7 scored categories. Stability AI Image API leads on reliability and transparency \u0026 trust. Both do image generation.",
    "verdicts": {
      "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.",
      "stability-ai-image": "Fixed price per call for every endpoint, published in credits. No new image model we could date since SD 3.5 Flash in July 2025."
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  "markdown": "Iris-3B scores 50.9 (D) on agent readiness against Stability AI Image API's 42.3 (E), and leads in 5 of 7 scored categories. Stability AI Image API leads on reliability and transparency \u0026 trust. Both do image generation.\n\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- Stability AI Image API: grade E, 42.3/100, rank #983 of 1094. Markdown https://www.anchorterminal.com/tools/stability-ai-image.md · JSON https://www.anchorterminal.com/api/v1/tools/stability-ai-image.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### 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- Schema \u0026 documentation, 47 against 39\n- Agent ergonomics, 54 against 48\n- Security \u0026 auth, 44 against 30\n- Payments \u0026 pricing, 60 against 40\n- Maintenance \u0026 community, 70 against 8\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### Stability AI Image API (E)\n\nGood for: Cheap, fixed-price editing operations for agents that need inpaint, outpaint or upscale as separate calls.\n\nAhead on:\n- Reliability, 60 against 45\n- Transparency \u0026 trust, 59 against 47\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No new image model we could date since SD 3.5 Flash in July 2025\n\n\n## Score by category\n\n| Category | Weight | Iris-3B | Stability AI Image API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 60 | Stability AI Image API +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 47 | 39 | Iris-3B +8 |\n| Agent ergonomics | 13% (16.2 this run) | 54 | 48 | Iris-3B +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 44 | 30 | Iris-3B +14 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 40 | Iris-3B +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 70 | 8 | Iris-3B +62 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 47 | 59 | Stability AI Image API +12 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **50.9 · D** | **42.3 · E** | |\n\n## Facts side by side\n\n| Fact | Iris-3B | Stability AI Image API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Speridlabs | Stability AI |\n| Hosted endpoint | no (local only) | `https://api.stability.ai/v2beta` |\n| Transports |  | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (code and weights) | none |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-12 | none |\n| Terms last updated | no document linked | 2026-09-30 |\n| Privacy policy last updated | no document linked | 2026-09-30 |\n| Customer content may train models |  | yes, with an opt-out |\n| Terms restrict automated access |  | yes |\n| Terms restrict benchmarking |  | yes |\n| Terms or service can change without notice |  | yes |\n| Arbitration or class-action waiver |  | yes |\n| Popularity | 175 stars | none |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\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**Stability AI Image API.** Fixed price per call for every endpoint, published in credits. No new image model we could date since SD 3.5 Flash in July 2025.\n\n## Before you call either\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### Stability AI Image API\n\n1. Send `accept: image/*` to get bytes back, or `application/json` for base64\n2. Stay under 150 requests every 10 seconds. A 429 locks you out for 60 seconds\n3. Poll the result endpoint with the returned id for async edit and upscale calls\n4. Use Stable Image Core or SD 3.5 Flash for drafts, Ultra for finals\n5. Send multipart form data, not JSON\n\n## Questions\n\n### Which is better for AI agents, Iris-3B or Stability AI Image API?\n\nIris-3B scores 50.9 (D) on agent readiness against Stability AI Image API's 42.3 (E), and leads in 5 of 7 scored categories. Stability AI Image API leads on reliability and transparency \u0026 trust.\n\n### Do Iris-3B and Stability AI Image API need an API key?\n\nIris-3B needs no key. Stability AI Image API needs an API key.\n\n### Can an agent call Iris-3B and Stability AI Image API without installing anything?\n\nNo hosted endpoint is listed for Iris-3B. Stability AI Image API has a hosted endpoint at https://api.stability.ai/v2beta.\n\n### Are Iris-3B and Stability AI Image API open source?\n\nIris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for Stability AI Image API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/iris-3b-vs-stability-ai-image.json, and with the fewest tokens: https://www.anchorterminal.com/compare/iris-3b-vs-stability-ai-image.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"iris-3b\", \"b\": \"stability-ai-image\"}`. From a terminal: `anchor compare iris-3b stability-ai-image`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/iris-3b.json and https://www.anchorterminal.com/api/v1/tools/stability-ai-image.json\n\n## Other comparisons with Iris-3B or Stability AI Image API\n\n- [Adobe Firefly API vs Iris-3B](https://www.anchorterminal.com/compare/adobe-firefly-vs-iris-3b.md)\n- [Adobe Firefly API vs Stability AI Image API](https://www.anchorterminal.com/compare/adobe-firefly-vs-stability-ai-image.md)\n- [Black Forest Labs FLUX API vs Iris-3B](https://www.anchorterminal.com/compare/black-forest-labs-vs-iris-3b.md)\n- [Black Forest Labs FLUX API vs Stability AI Image API](https://www.anchorterminal.com/compare/black-forest-labs-vs-stability-ai-image.md)\n- [Bria API vs Iris-3B](https://www.anchorterminal.com/compare/bria-vs-iris-3b.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- [fal image models vs Stability AI Image API](https://www.anchorterminal.com/compare/fal-image-vs-stability-ai-image.md)\n- [Google Imagen vs Iris-3B](https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.md)\n- [Google Imagen vs Stability AI Image API](https://www.anchorterminal.com/compare/google-imagen-vs-stability-ai-image.md)\n- [Ideogram API vs Iris-3B](https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.md)\n- [Ideogram API vs Stability AI Image API](https://www.anchorterminal.com/compare/ideogram-vs-stability-ai-image.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- [Leonardo.Ai API vs Stability AI Image API](https://www.anchorterminal.com/compare/leonardo-ai-vs-stability-ai-image.md)\n- [OpenAI Image API vs Stability AI Image API](https://www.anchorterminal.com/compare/openai-image-api-vs-stability-ai-image.md)\n- [Qwen-Image 2.1 (Model Studio) vs Stability AI Image API](https://www.anchorterminal.com/compare/qwen-image-2-1-vs-stability-ai-image.md)\n- [Recraft API vs Stability AI Image API](https://www.anchorterminal.com/compare/recraft-vs-stability-ai-image.md)\n- [Replicate image models vs Stability AI Image API](https://www.anchorterminal.com/compare/replicate-image-vs-stability-ai-image.md)\n- [Seedream on BytePlus ModelArk vs Stability AI Image API](https://www.anchorterminal.com/compare/seedream-on-byteplus-modelark-vs-stability-ai-image.md)\n",
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