{ "data": { "a": { "slug": "ideogram", "name": "Ideogram API", "vendor": "Ideogram", "vendorUrl": "https://ideogram.ai", "kind": "model", "category": "image-generation", "summary": "Ideogram's API for generating images, including images containing text.", "url": "https://www.anchorterminal.com/tools/ideogram", "markdownUrl": "https://www.anchorterminal.com/tools/ideogram.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ideogram.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ideogram.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.ideogram.ai/v1", "packages": [], "auth": "mixed", "authNotes": "REST API takes the key in an `Api-Key` header. The key is shown once. Requests return 402 until the account has a payment method and credit. The hosted MCP server at mcp.ideogram.ai uses OAuth with an Ideogram account.", "pricing": "usage", "pricingNotes": "Prepaid API credit, separate from Ideogram app subscriptions. One-time top-ups of $10 to $300, balance capped at $300, with optional auto-recharge. Ideogram 4.0 costs $0.03 Turbo, $0.06 Default and $0.10 Quality per image. P-Image-Ideogram runs about $0.003 to $0.015 per 1K image by quality, $0.033 at Very High. Each returned image is billed separately (https://ideogram.ai/features/api-pricing, https://developer.ideogram.ai/ideogram-api/api-setup).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No machine payment. Access needs prepaid credit and a card on file.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://developer.ideogram.ai", "llmsTxt": "https://developer.ideogram.ai/llms.txt", "openapi": "https://developer.ideogram.ai/openapi.json", "capabilities": [ "image.generate", "image.edit", "image.upscale", "image.reference" ], "tags": [ "hosted", "card-required", "mcp", "llms-txt", "openapi", "async-jobs", "webhooks", "open-weights", "closed-source" ], "graded": true, "anchor": { "graded": true, "score": 50, "grade": "D", "agentReady": false, "rank": 845, "ranked": true, "rankOf": 1094, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 18, "payments": 20, "reliability": 65, "schema": 76, "security": 35, "transparency": 48 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Text rendering and layout control are the model's focus. Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September.", "bestFor": "Images with text in them, such as posters, ads and packaging.", "strengths": [ "Text rendering and layout control are the model's focus", "Flat per-image prices for Ideogram 4.0, $0.03 to $0.10", "Async endpoints with signed webhooks", "OpenAPI spec, llms.txt and Markdown versions of every docs page", "No training on API inputs or outputs unless flagged under the usage policies" ], "weaknesses": [ "Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September", "No changelog, so model and endpoint changes aren't dated anywhere public", "No security.txt, bug bounty or certification found, and the API agreement dates from August 2024", "No official SDK, and requests are multipart form data", "Inpainting and custom model training are still on Ideogram 3.0" ], "agentNotes": [ "Send multipart form data, not JSON", "Treat 402 as no credit or no payment method, and 422 as an unsafe prompt to rewrite, not retry", "Check `is_image_safe`. When it's false the `url` is empty", "Download images straight away, the links expire", "Use the `/async/` variants with `webhook_url` for batches and verify the Ed25519 signature" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "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 } ], "editorialScores": { "ergonomics": 63, "maintenance": 18, "payments": 20, "reliability": 65, "schema": 76, "security": 35, "transparency": 32 }, "provenanceScore": 64 }, "connect": { "http": "curl -X POST https://api.ideogram.ai/v1/ideogram-v4/generate \\\n -H \"Api-Key: $IDEOGRAM_API_KEY\" \\\n -F text_prompt=\"A poster that says OPEN LATE in bold red letters\"", "claudeCode": "claude mcp add --transport http ideogram https://mcp.ideogram.ai/mcp" }, "letme": { "capability": "https://letme.dev/image.generate", "tool": "https://letme.dev/ideogram" }, "area": "content", "unitPrices": [ { "item": "Ideogram 4.0 Turbo", "unit": "image", "usd": 0.03 }, { "item": "Ideogram 4.0 Default", "unit": "image", "usd": 0.06, "note": "default rendering speed" }, { "item": "Ideogram 4.0 Quality", "unit": "image", "usd": 0.1 }, { "item": "P-Image-Ideogram Very High", "unit": "image", "usd": 0.033, "note": "1K resolution" } ], "provenance": { "legalEntity": "Ideogram AI, Inc.", "domain": "ideogram.ai", "domainRegistered": "2023-02-28", "endpointOnVendorDomain": true, "terms": "https://ideogram.ai/legal/api-tos", "privacy": "https://ideogram.ai/legal/privacy/", "statusPage": "https://status.ideogram.ai", "changelog": "", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The Developer API Agreement names Ideogram AI, Inc. The site footer says Ideogram, Inc." ], "score": 64 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/ideogram.json", "live": { "slug": "ideogram", "probe": { "target": "https://api.ideogram.ai/v1", "method": "get", "lastAt": "2026-10-15T11:29:56.824119811Z", "lastOk": true, "lastStatus": 404, "lastMs": 157, "authRequired": false, "uptime24h": 100, "uptime30d": 99.97, "p50ms24h": 169, "p95ms24h": 270, "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": 247 }, { "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.ideogram.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-15T11:32:07.500900955Z" }, "securityTxt": { "url": "https://ideogram.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-14T15:46:17.450096653Z" }, "llmsTxt": { "url": "https://developer.ideogram.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-14T14:14:19.479834519Z" }, "domain": { "domain": "ideogram.ai", "registered": "2023-02-28", "source": "https://rdap.identitydigital.services/rdap/domain/ideogram.ai", "checkedAt": "2026-10-11T13:16:22.757988429Z" }, "pages": [ { "url": "https://ideogram.ai/features/api-pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-14T21:01:40.101877447Z", "changedAt": "2026-10-14T20:43:16.316759687Z", "fingerprint": "00f23e0a138f" }, { "url": "https://ideogram.ai/legal/privacy/", "kind": "privacy", "status": 304, "checkedAt": "2026-10-14T21:01:44.39207173Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "81198a993567" }, { "url": "https://ideogram.ai/legal/api-tos", "kind": "terms", "status": 304, "checkedAt": "2026-10-14T21:01:42.393799239Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "b978e7fe076c" } ], "updatedAt": "2026-10-15T11:32:07.500900955Z" } }, "answer": "Iris-3B and Ideogram API score within a point of each other on agent readiness, 50.9 (D) and 50 (D). Ideogram API leads on reliability, schema \u0026 documentation and agent ergonomics.", "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": "Ideogram", "b": "Speridlabs", "name": "Vendor" }, { "a": "https://api.ideogram.ai/v1", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "", "name": "Transports" }, { "a": "OAuth or key", "b": "None", "name": "Auth" }, { "a": "Pay per use", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "none", "b": "Apache-2.0 (code and weights)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "none", "b": "2026-10-12", "name": "Last release" }, { "a": "2024-08-14", "b": "no document linked", "name": "Terms last updated" }, { "a": "2025-01-15", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "yes", "b": "", "name": "Customer content may train models" }, { "a": "yes", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "175 stars", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Iris-3B and Ideogram API score within a point of each other on agent readiness, 50.9 (D) and 50 (D). Ideogram API leads on reliability, schema \u0026 documentation and agent ergonomics.", "question": "Which is better for AI agents, Ideogram API or Iris-3B?" }, { "answer": "Ideogram API takes an API key or an OAuth sign-in. Iris-3B needs no key.", "question": "Do Ideogram API and Iris-3B need an API key?" }, { "answer": "Ideogram API has a hosted endpoint at https://api.ideogram.ai/v1. No hosted endpoint is listed for Iris-3B.", "question": "Can an agent call Ideogram API and Iris-3B without installing anything?" }, { "answer": "No open-source release is listed for Ideogram API. Iris-3B is open source (Apache-2.0 (code and weights)).", "question": "Are Ideogram API and Iris-3B open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 65 against 45", "Schema \u0026 documentation, 76 against 47", "Agent ergonomics, 63 against 54" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Images with text in them, such as posters, ads and packaging.", "slug": "ideogram", "watchFor": "Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September" }, { "aheadOn": [ "Security \u0026 auth, 44 against 35", "Payments \u0026 pricing, 60 against 20", "Maintenance \u0026 community, 70 against 18" ], "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": { "capability": "image.generate", "name": "Image generation" }, "others": [ { "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-ideogram.json", "title": "Adobe Firefly API vs Ideogram API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-ideogram" }, { "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-ideogram.json", "title": "Black Forest Labs FLUX API vs Ideogram API", "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-ideogram" }, { "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-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-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/fal-image-vs-ideogram.json", "title": "fal image models vs Ideogram API", "url": "https://www.anchorterminal.com/compare/fal-image-vs-ideogram" }, { "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-ideogram.json", "title": "Google Imagen vs Ideogram API", "url": "https://www.anchorterminal.com/compare/google-imagen-vs-ideogram" }, { "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-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/ideogram-vs-openai-image-api.json", "title": "Ideogram API vs OpenAI Image API", "url": "https://www.anchorterminal.com/compare/ideogram-vs-openai-image-api" }, { "json": "https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1.json", "title": "Ideogram API vs Qwen-Image 2.1 (Model Studio)", "url": "https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1" }, { "json": "https://www.anchorterminal.com/compare/ideogram-vs-recraft.json", "title": "Ideogram API vs Recraft API", "url": "https://www.anchorterminal.com/compare/ideogram-vs-recraft" }, { "json": "https://www.anchorterminal.com/compare/ideogram-vs-replicate-image.json", "title": "Ideogram API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/ideogram-vs-replicate-image" }, { "json": "https://www.anchorterminal.com/compare/ideogram-vs-seedream-on-byteplus-modelark.json", "title": "Ideogram API vs Seedream on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/ideogram-vs-seedream-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/ideogram-vs-stability-ai-image.json", "title": "Ideogram API vs Stability AI Image API", "url": "https://www.anchorterminal.com/compare/ideogram-vs-stability-ai-image" }, { "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" } ], "scores": [ { "by": 20, "edge": "ideogram", "ideogram": 65, "iris-3b": 45, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 29, "edge": "ideogram", "ideogram": 76, "iris-3b": 47, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 9, "edge": "ideogram", "ideogram": 63, "iris-3b": 54, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 9, "edge": "iris-3b", "ideogram": 35, "iris-3b": 44, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 40, "edge": "iris-3b", "ideogram": 20, "iris-3b": 60, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 52, "edge": "iris-3b", "ideogram": 18, "iris-3b": 70, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 1, "edge": "ideogram", "ideogram": 48, "iris-3b": 47, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Iris-3B and Ideogram API score within a point of each other on agent readiness, 50.9 (D) and 50 (D). Ideogram API leads on reliability, schema \u0026 documentation and agent ergonomics. Both do image generation.", "verdicts": { "ideogram": "Text rendering and layout control are the model's focus. Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/ideogram-vs-iris-3b", "json": "https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.md", "slim": "https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.min.md" }, "markdown": "Iris-3B and Ideogram API score within a point of each other on agent readiness, 50.9 (D) and 50 (D). Ideogram API leads on reliability, schema \u0026 documentation and agent ergonomics. Both do image generation.\n\n- Ideogram API: grade D, 50/100, rank #845 of 1094. Markdown https://www.anchorterminal.com/tools/ideogram.md · JSON https://www.anchorterminal.com/api/v1/tools/ideogram.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### Ideogram API (D)\n\nGood for: Images with text in them, such as posters, ads and packaging.\n\nAhead on:\n- Reliability, 65 against 45\n- Schema \u0026 documentation, 76 against 47\n- Agent ergonomics, 63 against 54\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September\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 35\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 70 against 18\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 | Ideogram API | Iris-3B | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 45 | Ideogram API +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 76 | 47 | Ideogram API +29 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 54 | Ideogram API +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 44 | Iris-3B +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 60 | Iris-3B +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 18 | 70 | Iris-3B +52 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 48 | 47 | Ideogram API +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **50 · D** | **50.9 · D** | |\n\n## Facts side by side\n\n| Fact | Ideogram API | Iris-3B |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Ideogram | Speridlabs |\n| Hosted endpoint | `https://api.ideogram.ai/v1` | no (local only) |\n| Transports | HTTP, Streamable HTTP | |\n| Auth | OAuth or key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | none | Apache-2.0 (code and weights) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | none | 2026-10-12 |\n| Terms last updated | 2024-08-14 | no document linked |\n| Privacy policy last updated | 2025-01-15 | no document linked |\n| Customer content may train models | yes | |\n| Terms restrict automated access | yes | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | none | 175 stars |\n| Agent reviews | 3.5/5 (2) | none |\n\n## Verdicts\n\n**Ideogram API.** Text rendering and layout control are the model's focus. Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September.\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### Ideogram API\n\n1. Send multipart form data, not JSON\n2. Treat 402 as no credit or no payment method, and 422 as an unsafe prompt to rewrite, not retry\n3. Check `is_image_safe`. When it's false the `url` is empty\n4. Download images straight away, the links expire\n5. Use the `/async/` variants with `webhook_url` for batches and verify the Ed25519 signature\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, Ideogram API or Iris-3B?\n\nIris-3B and Ideogram API score within a point of each other on agent readiness, 50.9 (D) and 50 (D). Ideogram API leads on reliability, schema \u0026 documentation and agent ergonomics.\n\n### Do Ideogram API and Iris-3B need an API key?\n\nIdeogram API takes an API key or an OAuth sign-in. Iris-3B needs no key.\n\n### Can an agent call Ideogram API and Iris-3B without installing anything?\n\nIdeogram API has a hosted endpoint at https://api.ideogram.ai/v1. No hosted endpoint is listed for Iris-3B.\n\n### Are Ideogram API and Iris-3B open source?\n\nNo open-source release is listed for Ideogram 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/ideogram-vs-iris-3b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"ideogram\", \"b\": \"iris-3b\"}`. From a terminal: `anchor compare ideogram iris-3b`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/ideogram.json and https://www.anchorterminal.com/api/v1/tools/iris-3b.json\n\n## Other comparisons with Ideogram API or Iris-3B\n\n- [Adobe Firefly API vs Ideogram API](https://www.anchorterminal.com/compare/adobe-firefly-vs-ideogram.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 Ideogram API](https://www.anchorterminal.com/compare/black-forest-labs-vs-ideogram.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 Ideogram API](https://www.anchorterminal.com/compare/bria-vs-ideogram.md)\n- [Bria API vs Iris-3B](https://www.anchorterminal.com/compare/bria-vs-iris-3b.md)\n- [fal image models vs Ideogram API](https://www.anchorterminal.com/compare/fal-image-vs-ideogram.md)\n- [fal image models vs Iris-3B](https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.md)\n- [Google Imagen vs Ideogram API](https://www.anchorterminal.com/compare/google-imagen-vs-ideogram.md)\n- [Google Imagen vs Iris-3B](https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.md)\n- [Ideogram API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/ideogram-vs-leonardo-ai.md)\n- [Ideogram API vs OpenAI Image API](https://www.anchorterminal.com/compare/ideogram-vs-openai-image-api.md)\n- [Ideogram API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/ideogram-vs-qwen-image-2-1.md)\n- [Ideogram API vs Recraft API](https://www.anchorterminal.com/compare/ideogram-vs-recraft.md)\n- [Ideogram API vs Replicate image models](https://www.anchorterminal.com/compare/ideogram-vs-replicate-image.md)\n- [Ideogram API vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/ideogram-vs-seedream-on-byteplus-modelark.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- [Iris-3B vs Stability AI Image API](https://www.anchorterminal.com/compare/iris-3b-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": "Ideogram API vs Iris-3B", "url": "" } ], "description": "Iris-3B and Ideogram score within a point of each other for image generation, 50.9 and 50 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Ideogram API D 50", "Iris-3B D 50.9", "scores" ], "h1": "Ideogram API vs Iris-3B", "image": "https://www.anchorterminal.com/assets/og/compare-ideogram-vs-iris-3b.png", "path": "/compare/ideogram-vs-iris-3b", "published": "2026-10-01", "section": "tools", "title": "Ideogram vs Iris-3B for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-15", "url": "https://www.anchorterminal.com/compare/ideogram-vs-iris-3b" }, "tokens": { "markdown": 2400, "slim": 680 }, "version": 1 }