{ "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": "OpenAI Image API scores 72.4 (BB) on agent readiness against Iris-3B's 50.9 (D), and leads in 6 of 7 scored categories. Iris-3B leads on payments \u0026 pricing.", "b": { "slug": "openai-image-api", "name": "OpenAI Image API", "vendor": "OpenAI", "vendorUrl": "https://developers.openai.com", "kind": "model", "category": "image-generation", "summary": "OpenAI's image generation and editing endpoints (/v1/images/generations and /v1/images/edits), also callable as a tool inside the Responses API.", "url": "https://www.anchorterminal.com/tools/openai-image-api", "markdownUrl": "https://www.anchorterminal.com/tools/openai-image-api.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-image-api.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-image-api.json", "repo": "https://github.com/openai/openai-python", "license": "Apache-2.0 (SDKs)", "transports": [ "http" ], "remoteUrl": "https://api.openai.com/v1", "packages": [ { "registry": "pypi", "name": "openai" }, { "registry": "npm", "name": "openai" } ], "auth": "api-key", "authNotes": "`Authorization: Bearer` with a project key. GPT Image models may need API organisation verification before the first call.", "pricing": "usage", "pricingNotes": "Prepaid, $5 minimum. GPT Image 2 and 2.5 bill per token, $5 per million text input, $8 per million image input and $30 per million image output, with image output at $15 per million through Batch. OpenAI publishes per-image figures only for earlier models, e.g. GPT Image 2 at 1024x1024 costs $0.006 low, $0.053 medium, $0.211 high. The GPT Image 2 cost calculator doesn't estimate GPT Image 2.5. Streaming partial images add 100 output tokens each (https://developers.openai.com/api/docs/pricing).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No machine payment. Access needs an account with prepaid credit.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 31300, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://developers.openai.com/api/docs/guides/image-generation", "llmsTxt": "https://developers.openai.com/llms.txt", "openapi": "https://github.com/openai/openai-openapi", "capabilities": [ "image.generate", "image.edit", "image.reference" ], "tags": [ "hosted", "card-required", "closed-source", "python", "typescript", "openapi", "llms-txt", "c2pa", "watermark", "commercial-licence" ], "lastRelease": "2026-09-22", "graded": true, "anchor": { "graded": true, "score": 72.4, "grade": "BB", "agentReady": true, "rank": 109, "ranked": true, "rankOf": 1094, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 72, "maintenance": 79, "payments": 20, "reliability": 80, "schema": 90, "security": 85, "transparency": 89 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "On 2025-11-26 OpenAI disclosed that its analytics vendor Mixpanel was breached, exposing names, emails, rough location and IDs of API platform users. No API keys, prompts or outputs. Mixpanel was removed and the incident documented (https://openai.com/index/mixpanel-incident/). -2 because it touched every API account, decayed because it's fixed and disclosed." ], "verdict": "Generation, mask edits and multi-reference edits on the same models, via the Image API or the Responses tool. No per-image price for GPT Image 2.5, and the cost calculator doesn't cover it.", "bestFor": "General-purpose generation and editing for agents already on OpenAI, especially multi-turn edits through the Responses tool.", "strengths": [ "Generation, mask edits and multi-reference edits on the same models, via the Image API or the Responses tool", "Restricted keys can be limited to the image endpoints, with per-project spend limits", "No training on API data by default, 30-day abuse logs and Zero Data Retention eligibility for GPT Image models", "Typed parameters, an OpenAPI spec, llms.txt and a dated changelog", "Batch halves the image output price, including on GPT Image 2.5 Flare" ], "weaknesses": [ "No per-image price for GPT Image 2.5, and the cost calculator doesn't cover it", "Tier 1 accounts get 5 images a minute on GPT Image 2.5 Flare", "Base64-only responses put the whole image in the payload", "Six image models removed or scheduled for removal between 2026-05-12 and 2026-12-01", "Three API image incidents in the last 90 days, the longest about 53 minutes of elevated errors" ], "agentNotes": [ "Pin `quality` and `size`. `auto` makes cost and latency vary per call", "Read `usage` in the response to track image tokens, it's the only cost signal for GPT Image 2.5", "Don't retry `moderation_blocked` or `image_generation_user_error`. Change the prompt first", "Honour `Retry-After` on 429 and add jitter, image limits are per minute and low at tier 1", "Move off gpt-image-1 before 2026-10-23 and off 1-mini, 1.5 and chatgpt-image-latest before 2026-12-01" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 72.4 } ], "editorialScores": { "ergonomics": 72, "maintenance": 79, "payments": 20, "reliability": 80, "schema": 90, "security": 85, "transparency": 83 }, "provenanceScore": 94 }, "connect": { "install": "pip install openai # or: npm i openai", "http": "curl https://api.openai.com/v1/images/generations \\\n -H \"Authorization: Bearer $OPENAI_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"model\":\"gpt-image-2.5-flare\",\"prompt\":\"A beige coffee mug on a wooden table\",\"size\":\"1024x1024\",\"quality\":\"medium\"}'" }, "letme": { "capability": "https://letme.dev/image.generate", "tool": "https://letme.dev/openai-image-api" }, "sameCompany": [ "openai-api", "openai-embeddings", "openai-guardrails", "openai-moderation", "openai-sora", "openai-speech-to-text", "openai-realtime", "openai-agents-sdk", "openai-decisions-api", "openai-codex" ], "area": "content", "unitPrices": [ { "item": "gpt-image-2", "unit": "image", "usd": 0.053, "note": "medium quality, 1024x1024, output tokens only" }, { "item": "gpt-image-2 low", "unit": "image", "usd": 0.006, "note": "low quality, 1024x1024" }, { "item": "gpt-image-2 high", "unit": "image", "usd": 0.211, "note": "high quality, 1024x1024" }, { "item": "gpt-image-1.5", "unit": "image", "usd": 0.034, "note": "medium quality, 1024x1024. Removal on 2026-12-01" }, { "item": "gpt-image-1-mini", "unit": "image", "usd": 0.011, "note": "medium quality, 1024x1024. Removal on 2026-12-01" } ], "provenance": { "legalEntity": "OpenAI OpCo, LLC", "domain": "openai.com", "domainRegistered": "2007-01-19", "domainNote": "openai.com was registered in 2007, before OpenAI existed.", "endpointOnVendorDomain": true, "terms": "https://openai.com/policies/services-agreement/", "privacy": "https://openai.com/policies/privacy-policy/", "statusPage": "https://status.openai.com", "changelog": "https://developers.openai.com/api/docs/changelog", "securityTxt": "valid", "checked": "2026-09-30", "score": 94 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-image-api.json", "live": { "slug": "openai-image-api", "probe": { "target": "https://api.openai.com/v1", "method": "get", "lastAt": "2026-10-15T11:30:04.088118903Z", "lastOk": true, "lastStatus": 404, "lastMs": 137, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 147, "p95ms24h": 198, "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.openai.com", "indicator": "minor", "summary": "Partial System Degradation", "checkedAt": "2026-10-15T11:32:16.578991802Z" }, "versions": [ { "registry": "github", "name": "openai/openai-python", "version": "v3.31.0", "released": "2026-10-14", "seenAt": "2026-10-15T00:10:50.61143841Z" }, { "registry": "npm", "name": "openai", "version": "7.34.0", "seenAt": "2026-10-15T00:10:50.579309538Z" }, { "registry": "pypi", "name": "openai", "version": "3.31.0", "released": "2026-10-14", "seenAt": "2026-10-15T00:10:50.43214112Z" } ], "githubStars": 31846, "npmWeekly": 43409938, "pypiWeekly": 76546014, "securityTxt": { "url": "https://openai.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-10-14T15:46:09.998505188Z" }, "llmsTxt": { "url": "https://developers.openai.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-14T14:14:45.545729329Z" }, "domain": { "domain": "openai.com", "registered": "2007-01-19", "source": "https://rdap.verisign.com/com/v1/domain/openai.com", "checkedAt": "2026-10-11T13:21:28.452415088Z" }, "updatedAt": "2026-10-15T11:32:16.578991802Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Speridlabs", "b": "OpenAI", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.openai.com/v1", "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": "Apache-2.0 (SDKs)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-12", "b": "2026-09-22", "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": "31k stars", "name": "Popularity" }, { "a": "none", "b": "3.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenAI Image API scores 72.4 (BB) on agent readiness against Iris-3B's 50.9 (D), and leads in 6 of 7 scored categories. Iris-3B leads on payments \u0026 pricing.", "question": "Which is better for AI agents, Iris-3B or OpenAI Image API?" }, { "answer": "Iris-3B needs no key. OpenAI Image API needs an API key.", "question": "Do Iris-3B and OpenAI Image API need an API key?" }, { "answer": "No hosted endpoint is listed for Iris-3B. OpenAI Image API has a hosted endpoint at https://api.openai.com/v1.", "question": "Can an agent call Iris-3B and OpenAI Image API without installing anything?" }, { "answer": "Iris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for OpenAI Image API.", "question": "Are Iris-3B and OpenAI Image API open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 60 against 20" ], "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, 80 against 45", "Schema \u0026 documentation, 90 against 47", "Agent ergonomics, 72 against 54", "Security \u0026 auth, 85 against 44", "Maintenance \u0026 community, 79 against 70", "Transparency \u0026 trust, 89 against 47" ], "also": [ "Agent-ready, a grade of BB or better", "A hosted endpoint, with nothing to install" ], "goodFor": "General-purpose generation and editing for agents already on OpenAI, especially multi-turn edits through the Responses tool.", "slug": "openai-image-api", "watchFor": "No per-image price for GPT Image 2.5, and the cost calculator doesn't cover it" } ], "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-openai-image-api.json", "title": "Adobe Firefly API vs OpenAI Image API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-openai-image-api" }, { "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-openai-image-api.json", "title": "Black Forest Labs FLUX API vs OpenAI Image API", "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-openai-image-api" }, { "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-openai-image-api.json", "title": "Bria API vs OpenAI Image API", "url": "https://www.anchorterminal.com/compare/bria-vs-openai-image-api" }, { "json": "https://www.anchorterminal.com/compare/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-openai-image-api.json", "title": "fal image models vs OpenAI Image API", "url": "https://www.anchorterminal.com/compare/fal-image-vs-openai-image-api" }, { "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-openai-image-api.json", "title": "Google Imagen vs OpenAI Image API", "url": "https://www.anchorterminal.com/compare/google-imagen-vs-openai-image-api" }, { "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-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/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-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/openai-image-api-vs-qwen-image-2-1.json", "title": "OpenAI Image API vs Qwen-Image 2.1 (Model Studio)", "url": "https://www.anchorterminal.com/compare/openai-image-api-vs-qwen-image-2-1" }, { "json": "https://www.anchorterminal.com/compare/openai-image-api-vs-recraft.json", "title": "OpenAI Image API vs Recraft API", "url": "https://www.anchorterminal.com/compare/openai-image-api-vs-recraft" }, { "json": "https://www.anchorterminal.com/compare/openai-image-api-vs-replicate-image.json", "title": "OpenAI Image API vs Replicate image models", "url": "https://www.anchorterminal.com/compare/openai-image-api-vs-replicate-image" }, { "json": "https://www.anchorterminal.com/compare/openai-image-api-vs-seedream-on-byteplus-modelark.json", "title": "OpenAI Image API vs Seedream on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/openai-image-api-vs-seedream-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/openai-image-api-vs-stability-ai-image.json", "title": "OpenAI Image API vs Stability AI Image API", "url": "https://www.anchorterminal.com/compare/openai-image-api-vs-stability-ai-image" } ], "scores": [ { "by": 35, "edge": "openai-image-api", "iris-3b": 45, "key": "reliability", "name": "Reliability", "openai-image-api": 80, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 43, "edge": "openai-image-api", "iris-3b": 47, "key": "schema", "name": "Schema \u0026 documentation", "openai-image-api": 90, "weight": 13 }, { "by": 18, "edge": "openai-image-api", "iris-3b": 54, "key": "ergonomics", "name": "Agent ergonomics", "openai-image-api": 72, "weight": 13 }, { "by": 41, "edge": "openai-image-api", "iris-3b": 44, "key": "security", "name": "Security \u0026 auth", "openai-image-api": 85, "weight": 14 }, { "by": 40, "edge": "iris-3b", "iris-3b": 60, "key": "payments", "name": "Payments \u0026 pricing", "openai-image-api": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 9, "edge": "openai-image-api", "iris-3b": 70, "key": "maintenance", "name": "Maintenance \u0026 community", "openai-image-api": 79, "weight": 7 }, { "by": 42, "edge": "openai-image-api", "iris-3b": 47, "key": "transparency", "name": "Transparency \u0026 trust", "openai-image-api": 89, "weight": 7 } ], "summary": "OpenAI Image API scores 72.4 (BB) on agent readiness against Iris-3B's 50.9 (D), and leads in 6 of 7 scored categories. Iris-3B leads on payments \u0026 pricing. 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.", "openai-image-api": "Generation, mask edits and multi-reference edits on the same models, via the Image API or the Responses tool. No per-image price for GPT Image 2.5, and the cost calculator doesn't cover it." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api", "json": "https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.md", "slim": "https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.min.md" }, "markdown": "OpenAI Image API scores 72.4 (BB) on agent readiness against Iris-3B's 50.9 (D), and leads in 6 of 7 scored categories. Iris-3B leads on payments \u0026 pricing. 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- OpenAI Image API: grade BB, 72.4/100, rank #109 of 1094. Markdown https://www.anchorterminal.com/tools/openai-image-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-image-api.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- Payments \u0026 pricing, 60 against 20\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### OpenAI Image API (BB)\n\nGood for: General-purpose generation and editing for agents already on OpenAI, especially multi-turn edits through the Responses tool.\n\nAhead on:\n- Reliability, 80 against 45\n- Schema \u0026 documentation, 90 against 47\n- Agent ergonomics, 72 against 54\n- Security \u0026 auth, 85 against 44\n- Maintenance \u0026 community, 79 against 70\n- Transparency \u0026 trust, 89 against 47\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n\nWatch for: No per-image price for GPT Image 2.5, and the cost calculator doesn't cover it\n\n\n## Score by category\n\n| Category | Weight | Iris-3B | OpenAI Image API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 80 | OpenAI Image API +35 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 47 | 90 | OpenAI Image API +43 |\n| Agent ergonomics | 13% (16.2 this run) | 54 | 72 | OpenAI Image API +18 |\n| Security \u0026 auth | 14% (17.5 this run) | 44 | 85 | OpenAI Image API +41 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | Iris-3B +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 70 | 79 | OpenAI Image API +9 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 47 | 89 | OpenAI Image API +42 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **50.9 · D** | **72.4 · BB** | |\n\n## Facts side by side\n\n| Fact | Iris-3B | OpenAI Image API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Speridlabs | OpenAI |\n| Hosted endpoint | no (local only) | `https://api.openai.com/v1` |\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) | Apache-2.0 (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-12 | 2026-09-22 |\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 | 31k stars |\n| Agent reviews | none | 3.5/5 (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**OpenAI Image API.** Generation, mask edits and multi-reference edits on the same models, via the Image API or the Responses tool. No per-image price for GPT Image 2.5, and the cost calculator doesn't cover it.\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### OpenAI Image API\n\n1. Pin `quality` and `size`. `auto` makes cost and latency vary per call\n2. Read `usage` in the response to track image tokens, it's the only cost signal for GPT Image 2.5\n3. Don't retry `moderation_blocked` or `image_generation_user_error`. Change the prompt first\n4. Honour `Retry-After` on 429 and add jitter, image limits are per minute and low at tier 1\n5. Move off gpt-image-1 before 2026-10-23 and off 1-mini, 1.5 and chatgpt-image-latest before 2026-12-01\n\n## Questions\n\n### Which is better for AI agents, Iris-3B or OpenAI Image API?\n\nOpenAI Image API scores 72.4 (BB) on agent readiness against Iris-3B's 50.9 (D), and leads in 6 of 7 scored categories. Iris-3B leads on payments \u0026 pricing.\n\n### Do Iris-3B and OpenAI Image API need an API key?\n\nIris-3B needs no key. OpenAI Image API needs an API key.\n\n### Can an agent call Iris-3B and OpenAI Image API without installing anything?\n\nNo hosted endpoint is listed for Iris-3B. OpenAI Image API has a hosted endpoint at https://api.openai.com/v1.\n\n### Are Iris-3B and OpenAI Image API open source?\n\nIris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for OpenAI Image API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"iris-3b\", \"b\": \"openai-image-api\"}`. From a terminal: `anchor compare iris-3b openai-image-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/iris-3b.json and https://www.anchorterminal.com/api/v1/tools/openai-image-api.json\n\n## Other comparisons with Iris-3B or OpenAI 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 OpenAI Image API](https://www.anchorterminal.com/compare/adobe-firefly-vs-openai-image-api.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 OpenAI Image API](https://www.anchorterminal.com/compare/black-forest-labs-vs-openai-image-api.md)\n- [Bria API vs Iris-3B](https://www.anchorterminal.com/compare/bria-vs-iris-3b.md)\n- [Bria API vs OpenAI Image API](https://www.anchorterminal.com/compare/bria-vs-openai-image-api.md)\n- [fal image models vs Iris-3B](https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.md)\n- [fal image models vs OpenAI Image API](https://www.anchorterminal.com/compare/fal-image-vs-openai-image-api.md)\n- [Google Imagen vs Iris-3B](https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.md)\n- [Google Imagen vs OpenAI Image API](https://www.anchorterminal.com/compare/google-imagen-vs-openai-image-api.md)\n- [Ideogram API vs Iris-3B](https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.md)\n- [Ideogram API vs OpenAI Image API](https://www.anchorterminal.com/compare/ideogram-vs-openai-image-api.md)\n- [Iris-3B vs Leonardo.Ai API](https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.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- [OpenAI Image API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/openai-image-api-vs-qwen-image-2-1.md)\n- [OpenAI Image API vs Recraft API](https://www.anchorterminal.com/compare/openai-image-api-vs-recraft.md)\n- [OpenAI Image API vs Replicate image models](https://www.anchorterminal.com/compare/openai-image-api-vs-replicate-image.md)\n- [OpenAI Image API vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/openai-image-api-vs-seedream-on-byteplus-modelark.md)\n- [OpenAI Image API vs Stability AI Image API](https://www.anchorterminal.com/compare/openai-image-api-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 OpenAI Image API", "url": "" } ], "description": "OpenAI Image scores 72.4 (BB) to Iris-3B's 50.9 (D) for image generation. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Iris-3B D 50.9", "OpenAI Image API BB 72.4", "scores" ], "h1": "Iris-3B vs OpenAI Image API", "image": "https://www.anchorterminal.com/assets/og/compare-iris-3b-vs-openai-image-api.png", "path": "/compare/iris-3b-vs-openai-image-api", "published": "2026-10-01", "section": "tools", "title": "Iris-3B vs OpenAI Image for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-15", "url": "https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api" }, "tokens": { "markdown": 2550, "slim": 730 }, "version": 1 }