{ "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 Leonardo.Ai API's 37.5 (F), and leads in 5 of 7 scored categories.", "b": { "slug": "leonardo-ai", "name": "Leonardo.Ai API", "vendor": "Leonardo.Ai (Canva)", "vendorUrl": "https://leonardo.ai", "kind": "model", "category": "image-generation", "summary": "Leonardo's own Phoenix and Lucid image models alongside resold third-party ones (FLUX, GPT Image, Ideogram 3.0, Nano Banana, Seedream) through one v2 generations endpoint.", "url": "https://www.anchorterminal.com/tools/leonardo-ai", "markdownUrl": "https://www.anchorterminal.com/tools/leonardo-ai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/leonardo-ai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/leonardo-ai.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://cloud.leonardo.ai/api/rest/v2", "packages": [ { "registry": "npm", "name": "@leonardo-ai/sdk" }, { "registry": "pypi", "name": "leonardo-ai-sdk" } ], "auth": "api-key", "authNotes": "Bearer API key created on the API Access page of the web app. The hosted MCP server at https://mcp.leonardo.ai/v1/mcp takes the same key in an API-Key header.", "pricing": "usage", "pricingNotes": "Pay as you go from a prepaid dollar balance that doesn't expire, with optional auto top-up. No monthly fee. API billing is separate from web app subscriptions. Per-image prices aren't published as a table. Cost depends on model, resolution and output count, shown in the in-app pricing calculator and returned in a cost object on each generation. Custom plans on request (https://docs.leonardo.ai/docs/pricing-and-plans-faq).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 in the API docs (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 20039, "pypiWeekly": 82, "asOf": "2026-09-30" }, "docsUrl": "https://docs.leonardo.ai/docs/getting-started", "llmsTxt": "https://docs.leonardo.ai/llms.txt", "capabilities": [ "image.generate", "image.edit", "image.upscale", "image.reference" ], "tags": [ "hosted", "closed-source", "mcp", "llms-txt", "python", "typescript", "async-jobs", "webhooks", "commercial-licence" ], "lastRelease": "2026-04-21", "graded": true, "anchor": { "graded": true, "score": 37.5, "grade": "F", "agentReady": false, "rank": 1022, "ranked": true, "rankOf": 1094, "categoryRank": 13, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 54, "maintenance": 48, "payments": 0, "reliability": 30, "schema": 45, "security": 40, "transparency": 48 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Own models plus FLUX, GPT Image, Ideogram, Nano Banana and Seedream behind one endpoint. No per-image price list outside the logged-in calculator.", "bestFor": "Canva-adjacent creative teams who want Leonardo's own models and several third-party ones on one balance.", "strengths": [ "Own models plus FLUX, GPT Image, Ideogram, Nano Banana and Seedream behind one endpoint", "Pay as you go with a balance that doesn't expire and no monthly fee", "Every generation returns a cost object", "Official TypeScript and Python SDKs, published through npm trusted publishing", "Webhook callbacks as well as polling" ], "weaknesses": [ "No per-image price list outside the logged-in calculator", "No status page and no security.txt", "Deprecation notice of 8 to 28 days with no stated policy", "No documented status code or backoff advice for limit errors", "TypeScript SDK last released on 21 April 2026" ], "agentNotes": [ "Use `POST /api/rest/v2/generations` with a `model` name such as `lucid-origin`", "Read the `cost` object in each response to track spend, prices aren't published", "Send `quality`, not `mode`. `mode` was retired on 2026-05-04", "Set a webhook callback URL on the key instead of polling long jobs", "Check the deprecations page before relying on a third-party model, removals follow the provider" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 37.5 } ], "editorialScores": { "ergonomics": 54, "maintenance": 48, "payments": 0, "reliability": 30, "schema": 45, "security": 40, "transparency": 25 }, "provenanceScore": 70 }, "connect": { "http": "curl -X POST https://cloud.leonardo.ai/api/rest/v2/generations \\\n -H \"authorization: Bearer $LEONARDO_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"model\":\"lucid-origin\",\"parameters\":{\"prompt\":\"a fox in a snowy forest\",\"width\":1024,\"height\":1024,\"quantity\":1},\"public\":false}'", "config": { "mcpServers": { "leonardo-ai": { "headers": { "API-Key": "${LEONARDO_API_KEY}" }, "url": "https://mcp.leonardo.ai/v1/mcp" } } } }, "letme": { "capability": "https://letme.dev/image.generate", "tool": "https://letme.dev/leonardo-ai" }, "area": "content", "provenance": { "legalEntity": "Leonardo Interactive Pty Ltd", "domain": "leonardo.ai", "domainRegistered": "2019-01-08", "domainNote": "leonardo.ai was registered in 2019, before the company launched its product in 2022.", "endpointOnVendorDomain": true, "terms": "https://leonardo.ai/terms-of-service", "privacy": "https://leonardo.ai/privacy-policy", "statusPage": "", "changelog": "https://docs.leonardo.ai/docs/deprecations-changes", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Legal entity is Leonardo Interactive Pty Ltd T/A Leonardo.Ai (ACN 662 209 485), a Canva subsidiary since 2024", "leonardo.ai returns 403 to curl and WebFetch, so the terms and privacy pages were read via search results", "status.leonardo.ai failed TLS and no other status page was found" ], "score": 70 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/leonardo-ai.json", "live": { "slug": "leonardo-ai", "probe": { "target": "https://cloud.leonardo.ai/api/rest/v2", "method": "get", "lastAt": "2026-10-15T11:29:58.523912653Z", "lastOk": true, "lastStatus": 401, "lastMs": 312, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 189, "p95ms24h": 391, "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 } ] }, "versions": [ { "registry": "npm", "name": "@leonardo-ai/sdk", "version": "4.21.3", "seenAt": "2026-10-15T00:01:57.95015333Z" }, { "registry": "pypi", "name": "leonardo-ai-sdk", "version": "7.0.0", "released": "2026-02-05", "seenAt": "2026-10-15T00:01:58.407339276Z" } ], "npmWeekly": 10319, "pypiWeekly": 343, "securityTxt": { "url": "https://leonardo.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-14T15:46:21.302398793Z" }, "llmsTxt": { "url": "https://docs.leonardo.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-14T14:14:23.26114895Z" }, "domain": { "domain": "leonardo.ai", "registered": "2019-01-08", "source": "https://rdap.identitydigital.services/rdap/domain/leonardo.ai", "checkedAt": "2026-10-11T13:17:30.970759771Z" }, "pages": [ { "url": "https://docs.leonardo.ai/docs/deprecations-changes", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-14T20:58:48.205120365Z", "changedAt": "2026-10-13T20:15:07.657843375Z", "fingerprint": "f166d675e1e5" }, { "url": "https://docs.leonardo.ai/docs/pricing-and-plans-faq", "kind": "pricing", "status": 200, "checkedAt": "2026-10-14T20:58:50.278797583Z", "changedAt": "2026-10-13T20:15:10.740002485Z", "fingerprint": "dc9de6b6d46e" }, { "url": "https://leonardo.ai/privacy-policy", "kind": "privacy", "status": 403, "checkedAt": "2026-10-14T21:02:34.660061359Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://leonardo.ai/terms-of-service", "kind": "terms", "status": 403, "checkedAt": "2026-10-14T21:02:36.683570875Z", "changedAt": "0001-01-01T00:00:00Z" } ], "updatedAt": "2026-10-15T11:29:58.523912653Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Speridlabs", "b": "Leonardo.Ai (Canva)", "name": "Vendor" }, { "a": "no (local only)", "b": "https://cloud.leonardo.ai/api/rest/v2", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP, Streamable 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": "yes", "name": "llms.txt" }, { "a": "2026-10-12", "b": "2026-04-21", "name": "Last release" }, { "a": "no document linked", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "no document linked", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "175 stars", "b": "20k npm/wk, 82 PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "2/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Iris-3B scores 50.9 (D) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, Iris-3B or Leonardo.Ai API?" }, { "answer": "Iris-3B needs no key. Leonardo.Ai API needs an API key.", "question": "Do Iris-3B and Leonardo.Ai API need an API key?" }, { "answer": "No hosted endpoint is listed for Iris-3B. Leonardo.Ai API has a hosted endpoint at https://cloud.leonardo.ai/api/rest/v2.", "question": "Can an agent call Iris-3B and Leonardo.Ai API without installing anything?" }, { "answer": "Iris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for Leonardo.Ai API.", "question": "Are Iris-3B and Leonardo.Ai API open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 45 against 30", "Payments \u0026 pricing, 60 against 0", "Maintenance \u0026 community, 70 against 48" ], "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": null, "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Canva-adjacent creative teams who want Leonardo's own models and several third-party ones on one balance.", "slug": "leonardo-ai", "watchFor": "No per-image price list outside the logged-in calculator" } ], "job": { "capability": "image.generate", "name": "Image generation" }, "others": [ { "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/adobe-firefly-vs-leonardo-ai.json", "title": "Adobe Firefly API vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-leonardo-ai" }, { "json": "https://www.anchorterminal.com/compare/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/black-forest-labs-vs-leonardo-ai.json", "title": "Black Forest Labs FLUX API vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-leonardo-ai" }, { "json": "https://www.anchorterminal.com/compare/bria-vs-iris-3b.json", "title": "Bria API vs Iris-3B", "url": "https://www.anchorterminal.com/compare/bria-vs-iris-3b" }, { "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/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/fal-image-vs-leonardo-ai.json", "title": "fal image models vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/fal-image-vs-leonardo-ai" }, { "json": "https://www.anchorterminal.com/compare/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/google-imagen-vs-leonardo-ai.json", "title": "Google Imagen vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/google-imagen-vs-leonardo-ai" }, { "json": "https://www.anchorterminal.com/compare/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/ideogram-vs-leonardo-ai.json", "title": "Ideogram API vs Leonardo.Ai API", "url": "https://www.anchorterminal.com/compare/ideogram-vs-leonardo-ai" }, { "json": "https://www.anchorterminal.com/compare/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" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-openai-image-api.json", "title": "Leonardo.Ai API vs OpenAI Image API", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-openai-image-api" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1.json", "title": "Leonardo.Ai API vs Qwen-Image 2.1 (Model Studio)", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-recraft.json", "title": "Leonardo.Ai API vs Recraft API", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-recraft" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-replicate-image.json", "title": "Leonardo.Ai API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-replicate-image" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-seedream-on-byteplus-modelark.json", "title": "Leonardo.Ai API vs Seedream on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-seedream-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-stability-ai-image.json", "title": "Leonardo.Ai API vs Stability AI Image API", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-stability-ai-image" } ], "scores": [ { "by": 15, "edge": "iris-3b", "iris-3b": 45, "key": "reliability", "leonardo-ai": 30, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "edge": "iris-3b", "iris-3b": 47, "key": "schema", "leonardo-ai": 45, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 0, "edge": "", "iris-3b": 54, "key": "ergonomics", "leonardo-ai": 54, "name": "Agent ergonomics", "weight": 13 }, { "by": 4, "edge": "iris-3b", "iris-3b": 44, "key": "security", "leonardo-ai": 40, "name": "Security \u0026 auth", "weight": 14 }, { "by": 60, "edge": "iris-3b", "iris-3b": 60, "key": "payments", "leonardo-ai": 0, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 22, "edge": "iris-3b", "iris-3b": 70, "key": "maintenance", "leonardo-ai": 48, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 1, "edge": "leonardo-ai", "iris-3b": 47, "key": "transparency", "leonardo-ai": 48, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Iris-3B scores 50.9 (D) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in 5 of 7 scored categories. 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.", "leonardo-ai": "Own models plus FLUX, GPT Image, Ideogram, Nano Banana and Seedream behind one endpoint. No per-image price list outside the logged-in calculator." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai", "json": "https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.md", "slim": "https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.min.md" }, "markdown": "Iris-3B scores 50.9 (D) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in 5 of 7 scored categories. 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- Leonardo.Ai API: grade F, 37.5/100, rank #1022 of 1094. Markdown https://www.anchorterminal.com/tools/leonardo-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/leonardo-ai.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- Reliability, 45 against 30\n- Payments \u0026 pricing, 60 against 0\n- Maintenance \u0026 community, 70 against 48\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### Leonardo.Ai API (F)\n\nGood for: Canva-adjacent creative teams who want Leonardo's own models and several third-party ones on one balance.\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No per-image price list outside the logged-in calculator\n\n\n## Score by category\n\n| Category | Weight | Iris-3B | Leonardo.Ai API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 30 | Iris-3B +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 47 | 45 | Iris-3B +2 |\n| Agent ergonomics | 13% (16.2 this run) | 54 | 54 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 44 | 40 | Iris-3B +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 0 | Iris-3B +60 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 70 | 48 | Iris-3B +22 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 47 | 48 | Leonardo.Ai API +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **50.9 · D** | **37.5 · F** | |\n\n## Facts side by side\n\n| Fact | Iris-3B | Leonardo.Ai API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Speridlabs | Leonardo.Ai (Canva) |\n| Hosted endpoint | no (local only) | `https://cloud.leonardo.ai/api/rest/v2` |\n| Transports | | HTTP, Streamable 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 | yes |\n| Last release | 2026-10-12 | 2026-04-21 |\n| Terms last updated | no document linked | couldn't be read |\n| Privacy policy last updated | no document linked | couldn't be read |\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 | 175 stars | 20k npm/wk, 82 PyPI/wk |\n| Agent reviews | none | 2/5 (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**Leonardo.Ai API.** Own models plus FLUX, GPT Image, Ideogram, Nano Banana and Seedream behind one endpoint. No per-image price list outside the logged-in calculator.\n\n## 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### Leonardo.Ai API\n\n1. Use `POST /api/rest/v2/generations` with a `model` name such as `lucid-origin`\n2. Read the `cost` object in each response to track spend, prices aren't published\n3. Send `quality`, not `mode`. `mode` was retired on 2026-05-04\n4. Set a webhook callback URL on the key instead of polling long jobs\n5. Check the deprecations page before relying on a third-party model, removals follow the provider\n\n## Questions\n\n### Which is better for AI agents, Iris-3B or Leonardo.Ai API?\n\nIris-3B scores 50.9 (D) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in 5 of 7 scored categories.\n\n### Do Iris-3B and Leonardo.Ai API need an API key?\n\nIris-3B needs no key. Leonardo.Ai API needs an API key.\n\n### Can an agent call Iris-3B and Leonardo.Ai API without installing anything?\n\nNo hosted endpoint is listed for Iris-3B. Leonardo.Ai API has a hosted endpoint at https://cloud.leonardo.ai/api/rest/v2.\n\n### Are Iris-3B and Leonardo.Ai API open source?\n\nIris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for Leonardo.Ai API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"iris-3b\", \"b\": \"leonardo-ai\"}`. From a terminal: `anchor compare iris-3b leonardo-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/iris-3b.json and https://www.anchorterminal.com/api/v1/tools/leonardo-ai.json\n\n## Other comparisons with Iris-3B or Leonardo.Ai 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 Leonardo.Ai API](https://www.anchorterminal.com/compare/adobe-firefly-vs-leonardo-ai.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 Leonardo.Ai API](https://www.anchorterminal.com/compare/black-forest-labs-vs-leonardo-ai.md)\n- [Bria API vs Iris-3B](https://www.anchorterminal.com/compare/bria-vs-iris-3b.md)\n- [Bria API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/bria-vs-leonardo-ai.md)\n- [fal image models vs Iris-3B](https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.md)\n- [fal image models vs Leonardo.Ai API](https://www.anchorterminal.com/compare/fal-image-vs-leonardo-ai.md)\n- [Google Imagen vs Iris-3B](https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.md)\n- [Google Imagen vs Leonardo.Ai API](https://www.anchorterminal.com/compare/google-imagen-vs-leonardo-ai.md)\n- [Ideogram API vs Iris-3B](https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.md)\n- [Ideogram API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/ideogram-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- [Leonardo.Ai API vs OpenAI Image API](https://www.anchorterminal.com/compare/leonardo-ai-vs-openai-image-api.md)\n- [Leonardo.Ai API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1.md)\n- [Leonardo.Ai API vs Recraft API](https://www.anchorterminal.com/compare/leonardo-ai-vs-recraft.md)\n- [Leonardo.Ai API vs Replicate image models](https://www.anchorterminal.com/compare/leonardo-ai-vs-replicate-image.md)\n- [Leonardo.Ai API vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/leonardo-ai-vs-seedream-on-byteplus-modelark.md)\n- [Leonardo.Ai API vs Stability AI Image API](https://www.anchorterminal.com/compare/leonardo-ai-vs-stability-ai-image.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-15", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Iris-3B vs Leonardo.Ai API", "url": "" } ], "description": "Iris-3B scores 50.9 (D) to Leonardo.Ai's 37.5 (F) for image generation. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Iris-3B D 50.9", "Leonardo.Ai API F 37.5", "scores" ], "h1": "Iris-3B vs Leonardo.Ai API", "image": "https://www.anchorterminal.com/assets/og/compare-iris-3b-vs-leonardo-ai.png", "path": "/compare/iris-3b-vs-leonardo-ai", "published": "2026-10-01", "section": "tools", "title": "Iris-3B vs Leonardo.Ai for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-15", "url": "https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai" }, "tokens": { "markdown": 2400, "slim": 680 }, "version": 1 }