{ "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", "dns": "iris-3b.grade.anchorterminal.com", "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": 51.3, "grade": "D", "agentReady": false, "rank": 933, "ranked": true, "rankOf": 1266, "categoryRank": 9, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 54, "maintenance": 70, "payments": 60, "reliability": 45, "schema": 47, "security": 44, "transparency": 52 }, "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": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 51.3 } ], "editorialScores": { "ergonomics": 54, "maintenance": 70, "payments": 60, "reliability": 45, "schema": 47, "security": 44, "transparency": 50 }, "provenanceScore": 53, "checked": { "categories": { "ergonomics": "2026-10-15", "maintenance": "2026-10-15", "payments": "2026-10-15", "reliability": "2026-10-15", "schema": "2026-10-15", "security": "2026-10-15", "transparency": "2026-10-15" }, "last": "2026-10-15", "lastMoved": "2026-10-27", "oldest": "2026-10-15", "stale": false, "staleAfterDays": 90 } }, "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": 53 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/iris-3b.json", "live": { "slug": "iris-3b", "githubStars": 211, "securityTxt": { "url": "https://speridlabs.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-01T15:42:17.514868287Z" }, "domain": { "domain": "speridlabs.com", "registered": "2025-02-25", "source": "https://rdap.verisign.com/com/v1/domain/speridlabs.com", "checkedAt": "2026-11-01T14:11:19.439980391Z" }, "github": { "repo": "speridlabs/iris-3b", "checkedAt": "2026-11-02T09:27:10.17328209Z", "stars": 216, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-15T07:33:20Z", "openIssues": 4, "openPRs": 0, "issuesOpened90d": 6, "issuesClosed90d": 2, "prsMerged90d": 2, "replies": { "sampled": 6, "unanswered": 4, "medianDays": 2.1 } }, "updatedAt": "2026-11-02T09:27:10.17328209Z" } }, "answer": "Iris-3B scores 51.3 (D) on agent readiness against SurgePix API's 36 (F), and leads in every scored category.", "b": { "slug": "surgepix", "name": "SurgePix API", "vendor": "SurgePix", "vendorUrl": "https://surgepix.ai", "kind": "http-api", "category": "image-generation", "summary": "SurgePix is a web design workspace that generates and edits images, posters and slide decks. A REST API with API keys, async tasks and file upload is called through MIT-licensed agent skills for coding agents.", "url": "https://www.anchorterminal.com/tools/surgepix", "markdownUrl": "https://www.anchorterminal.com/tools/surgepix.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/surgepix.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/surgepix.json", "dns": "surgepix.grade.anchorterminal.com", "repo": "https://github.com/SurgePix/agent-skills", "license": "Proprietary hosted service under the Surgepix User Agreement, which names no company and restricts commercial use without SurgePix's permission. The agent skills repository is MIT", "transports": [ "http" ], "remoteUrl": "https://api.surgepix.ai/api", "packages": [], "auth": "api-key", "authNotes": "An API key starting `sk-`, created and managed in the account's settings on surgepix.ai, sent as the raw value of the `authorization` header with no `Bearer` prefix. The docs say a leaked key can be revoked and reset. No scopes, read-only keys or spend caps were found. The skills read the key from `SURGEPIX_API_KEY` and also need `SURGEPIX_BASE_URL` set to https://api.surgepix.ai/api (https://surgepix.ai/blog/developer-guides/api-keys-reference, https://surgepix.ai/blog/developer-guides/install-skills).", "pricing": "freemium", "pricingNotes": "Free plan with 25 credits a day that don't roll over. Basic is $9.90 a month (2,000 credits) or $95.04 a year, and Pro $24.90 a month (11,500 credits) or $239.04 a year, with introductory prices of $0.99 and $4.99 a month for three months. Credits are spent on input and output tokens, and a failed generation charges the input only. No per-call API price is published, and the changelog says skills calling SurgePix's own models don't use credits (9 July 2026) and that some models are billed per generation (9 September 2026) (https://surgepix.ai/blog/introduction/credit-subscription/plans-pricing, https://surgepix.ai/blog/introduction/credit-subscription/how-credits-work, https://surgepix.ai/blog/whats-new/updates).", "priceSummary": "$9.90 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the API reference, the skills, the pricing pages or the terms. Access is by an API key from a browser account, and the privacy policy names Alipay and WeChat Pay for payments (checked 2026-11-02).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-02" }, "docsUrl": "https://surgepix.ai/blog/developer-guides/api-keys-reference", "capabilities": [ "image.generate", "image.edit" ], "tags": [ "hosted", "closed-source", "agent-skills", "async-jobs", "freemium", "free-tier", "no-status-page", "new" ], "lastRelease": "2026-10-23", "graded": true, "anchor": { "graded": true, "score": 36, "grade": "F", "agentReady": false, "rank": 1173, "ranked": true, "rankOf": 1266, "categoryRank": 14, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 53, "maintenance": 66, "payments": 20, "reliability": 15, "schema": 40, "security": 41, "transparency": 28 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-02" }, "negative": 0, "verdict": "A small, readable API with async tasks and MIT skill scripts that cover posters, decks, edits and translation. Only background removal is documented, the terms name no company and restrict commercial use and automated querying, and uploaded files become public URLs.", "bestFor": "An agent that needs finished marketing assets, such as posters, slide decks, Xiaohongshu carousels, logos and translated images, as one file from a short request.", "strengths": [ "The API reference gives request tables, JSON examples and an error table for upload, background removal and task polling", "Every task returns one download URL, or one ZIP for a set, so responses stay small", "The MIT skill scripts show the request bodies for 11 undocumented generation and edit endpoints", "Free plan with 25 credits a day, and a failed generation charges only the input tokens", "Dated public changelog with entries on 15, 22 and 23 October 2026" ], "weaknesses": [ "Only background removal and upload are in the public API reference, with no OpenAPI file or llms.txt", "No status page, rate limits, 429 guidance or SLA was found", "The terms and privacy policy name no company or address, and the terms restrict commercial use without permission", "Uploaded files become publicly accessible URLs on Tencent Cloud storage in Seoul, and no retention period is given", "No scopes, read-only keys, security.txt or disclosure policy was found" ], "agentNotes": [ "Send the key as the raw `authorization` header value, with no `Bearer` prefix", "Don't upload confidential files. The upload flow returns a public URL for every file", "Check `code` in the JSON body as well as the HTTP status, since failures come back as a non-zero `code` with a `msg`", "Poll `GET /tasks/{taskId}` within 24 hours, after which the task returns 404", "Get written permission before using outputs commercially, since the terms restrict commercial use" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 36 } ], "editorialScores": { "ergonomics": 53, "maintenance": 66, "payments": 20, "reliability": 15, "schema": 40, "security": 41, "transparency": 14 }, "provenanceScore": 41, "checked": { "categories": { "ergonomics": "2026-11-02", "maintenance": "2026-11-02", "payments": "2026-11-02", "reliability": "2026-11-02", "schema": "2026-11-02", "security": "2026-11-02", "transparency": "2026-11-02" }, "last": "2026-11-02", "oldest": "2026-11-02", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npx skills add SurgePix/agent-skills", "http": "curl --request POST \\\n --url https://api.surgepix.ai/api/tasks/remove-background \\\n --header 'authorization: sk-YOUR_API_KEY' \\\n --header 'Content-Type: application/json' \\\n --data '{\"fileUrl\": \"\u003cURL from the upload flow\u003e\", \"noWait\": true}'" }, "letme": { "capability": "https://letme.dev/image.generate", "tool": "https://letme.dev/surgepix" }, "area": "content", "unitPrices": [ { "item": "Basic plan, 2,000 credits", "unit": "month", "usd": 9.9, "note": "$0.99 a month for the first three months; about 130 image generations a month per the pricing page" }, { "item": "Pro plan, 11,500 credits", "unit": "month", "usd": 24.9, "note": "$4.99 a month for the first three months; about 750 image generations a month per the pricing page" } ], "provenance": { "legalEntity": "", "domain": "surgepix.ai", "domainRegistered": "2025-11-06", "endpointOnVendorDomain": true, "terms": "https://surgepix.ai/blog/legal/terms-of-service", "privacy": "https://surgepix.ai/blog/legal/privacy-policy", "statusPage": "", "changelog": "https://surgepix.ai/blog/whats-new/updates", "securityTxt": "none", "checked": "2026-11-02", "notes": [ "The Surgepix User Agreement names no company or address. It applies the laws of the People's Republic of China, sends disputes to the court where \"Surgepix's limited company\" is located, and refers to users outside mainland China.", "The privacy policy, dated 10 June 2026 at the top and 1 July 2022 near the end, gives the service provider as \"Surgepix.ai\" and says information is stored on \"domestic servers\".", "The contact email on every surgepix.ai page is at tate-a-tate.com. Tate-A-Tate's terms name Torsi Information Technology Co., Ltd. as its provider, and surgepix.ai's footer links Tate-A-Tate and Surgeflow. SurgePix's own pages don't name Torsi.", "RDAP for surgepix.ai gives a registration date of 6 November 2025 through Aceville Pte. Ltd., Cloudflare name servers and a registrant in Beijing, China.", "surgepix.ai/.well-known/security.txt and /security.txt return 404. status.surgepix.ai doesn't resolve and no status page is linked.", "The API answers at api.surgepix.ai under the product's own domain. Uploads and outputs are served from Tencent Cloud Object Storage buckets in ap-seoul." ], "score": 41 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/surgepix.json", "live": { "slug": "surgepix", "probe": { "target": "https://api.surgepix.ai/api", "method": "get", "lastAt": "2026-11-02T15:07:00.16742116Z", "lastOk": true, "lastStatus": 401, "lastMs": 1202, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 1204, "p95ms24h": 1340, "samples24h": 41, "samples30d": 41, "days": [ { "date": "2026-11-02", "probes": 41, "ok": 41 } ] }, "updatedAt": "2026-11-02T15:07:00.16742116Z" } }, "edges": [ { "by": 40, "category": "payments", "leads": "iris-3b", "name": "Payments \u0026 pricing", "reasons": { "a": "Free Apache-2.0 software with nothing to buy, so 20 + 20 + 20 for pricing, free use and no sign-up. No payment protocol (0). There is no hosted API. Hardware is the owner's cost.", "b": "No x402, MPP or L402 (0). Plan prices and monthly credits are public, but credits are spent per token with no per-call price for any API task, so plan-only pricing (10). A free plan with 25 credits a day. The pages don't say whether a card is needed or whether a free account can create API keys, so half, a judgement call (10). A person signs up in a browser and creates the key in settings (0). 0+10+10+0 = 20." }, "scores": { "a": 60, "b": 20 } }, { "by": 30, "category": "reliability", "leads": "iris-3b", "name": "Reliability", "reasons": { "a": "Read as local software, since Iris-3B is a model the owner runs. No package on PyPI. Install is a git clone and `pip install -e .`, with Python 3.11 or newer, PyTorch 2.7.1 or newer and an NVIDIA GPU with CUDA stated (12 of 20). The repository has 23 pytest files covering the model, flow, checkpoints and parallel training, but no CI workflow, so nothing shows them passing on main (5 of 25). Three GitHub issues in ten days, none a crash, two closed and one open announcing a community ComfyUI port. Six Hugging Face discussions, none a bug report (20 of 25). No tags, releases or changelog. Package version 0.1.0, and new checkpoints are added in folders of one Hub repository with no version pins (3 of 15). Released as a final checkpoint with no beta label, but the package is 0.1.0 and the project ten days old (5 of 15).", "b": "Read with the hosted lines. No status page was found on surgepix.ai or in the docs, and status.surgepix.ai doesn't resolve (0). With no history to read, the incident line takes the floor (5). No rate limits with numbers are documented. The terms say \"non-human continuous or frequent query operations\" lead to automatic account suspension, with no threshold given (0). No 429 or backoff guidance. The skill scripts poll every 2 seconds for up to 5 to 15 minutes, but that is client code, not a documented policy (0). No SLA, and the terms disclaim uninterrupted service (0). The API isn't labelled beta or preview, and API keys have been self-serve since 2 June 2026 per the changelog (10). 0+5+0+0+0+10 = 15." }, "scores": { "a": 45, "b": 15 } }, { "by": 24, "category": "transparency", "leads": "iris-3b", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache-2.0 for code and weights, with a NOTICE file, a third-party licence table and the full training and distillation recipe. The training images and the Turbo prompt sets are not released or named in the README or card (25 of 30). Self-hosted, so inputs stay on the owner's hardware, but we found no statement saying so and speridlabs.com has no privacy policy (15 of 30). No deprecation policy, version tags or pinned revisions (2 of 20). No telemetry calls found in the inference code. Training defaults to `report_to: wandb`, which sends run config and validation images to Weights \u0026 Biases, can be set to `none`, and is not mentioned in the README (8 of 20).", "b": "The editorial half. A closed service whose terms name no company or address. They restrict any commercial use of what the service produces without SurgePix's permission, and contain clauses from an unrelated product (a \"big data\" query platform and \"non-resume content\"). The skills are MIT. Unclear terms, with a little credit for the open skills (5). The privacy policy is dated both 10 June 2026 and 1 July 2022, describes WeChat and phone registration and \"domestic servers\", and gives no retention periods. The API reference says uploads go to Tencent Cloud storage in Seoul as public URLs. No DPA. The statements don't agree (5). No deprecation policy or notices, and the terms let changes take effect on publication without notice (0). Tencent Cloud Object Storage in ap-seoul is named in the API reference, and Alipay and WeChat Pay in the privacy policy. No subprocessor list or stated data location (4). 5+5+0+4 = 14." }, "scores": { "a": 52, "b": 28 } }, { "by": 7, "category": "schema", "leads": "iris-3b", "name": "Schema \u0026 documentation", "reasons": { "a": "Read for a model the owner runs through a CLI and a Python package. No server, OpenAPI or other machine-readable contract. The CLI uses argparse with typed flags and help text, and the Python functions carry type hints. The demo Spaces' Gradio API lists typed endpoints, but Speridlabs doesn't document it (8 of 25). No llms.txt. The README and model card are Markdown in each repository (5 of 10). The card and README state limits (unreliable rendered text and object counts, about one megapixel, depth relative not metric, Turbo's fixed schedule and lower seed variety) but not intended or out-of-scope uses (14 of 20). Flags are typed, with the size presets as an enum only in the Spaces. Height and width take any integer, though Turbo was distilled at seven sizes (9 of 15). Commands for every model and a tips table, but no documented errors (7 of 15). No versioning or changelog beyond dated commits (4 of 15).", "b": "No OpenAPI or other machine-readable contract was found (0). surgepix.ai/llms.txt returns 404. The docs are HTML pages, but the 15 SKILL.md files in the MIT repository are Markdown written for agents, so half (5). The API reference states the purpose of each of its five operations and the async and session model. The SKILL.md files add trigger phrases and explicit do-not-use routing between skills, but 11 of the task endpoints the skills call appear only in their scripts, with no reference (10). Parameter tables give type and required for the documented operations, with no enums or limits, and the undocumented endpoints have no schema at all (7). JSON examples for every documented operation and an error table with 401, 404 and `error.file.sensitive_content` (10). A dated public changelog from 11 March 2026, but no version in the API path and no API-specific change notes (8). 0+5+10+7+10+8 = 40." }, "scores": { "a": 47, "b": 40 } } ], "facts": [ { "a": "Model API", "b": "HTTP API", "name": "Kind" }, { "a": "Speridlabs", "b": "SurgePix", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.surgepix.ai/api", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (code and weights)", "b": "Proprietary hosted service under the Surgepix User Agreement, which names no company and restricts commercial use without SurgePix's permission. The agent skills repository is MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-10-12", "b": "2026-10-23", "name": "Last release" }, { "a": "no document linked", "b": "no date given", "name": "Terms last updated" }, { "a": "no document linked", "b": "2026-06-10", "name": "Privacy policy last updated" }, { "a": "not read yet", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not read yet", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not read yet", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not read yet", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not read yet", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "175 stars", "b": "none", "name": "Popularity" } ], "faq": [ { "answer": "Iris-3B scores 51.3 (D) on agent readiness against SurgePix API's 36 (F), and leads in every scored category.", "question": "Which is better for AI agents, Iris-3B or SurgePix API?" }, { "answer": "Iris-3B needs no key. SurgePix API needs an API key.", "question": "Do Iris-3B and SurgePix API need an API key?" }, { "answer": "No hosted endpoint is listed for Iris-3B. SurgePix API has a hosted endpoint at https://api.surgepix.ai/api.", "question": "Can an agent call Iris-3B and SurgePix API without installing anything?" }, { "answer": "Iris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for SurgePix API.", "question": "Are Iris-3B and SurgePix API open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 45 against 15", "Schema \u0026 documentation, 47 against 40", "Payments \u0026 pricing, 60 against 20", "Transparency \u0026 trust, 52 against 28" ], "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": "An agent that needs finished marketing assets, such as posters, slide decks, Xiaohongshu carousels, logos and translated images, as one file from a short request.", "slug": "surgepix", "watchFor": "Only background removal and upload are in the public API reference, with no OpenAPI file or llms.txt" } ], "history": { "iris-3b": [ { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.4, "from": 50.9, "fromGrade": "D", "to": 51.3, "toGrade": "D" } ], "surgepix": null }, "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-surgepix.json", "title": "Adobe Firefly API vs SurgePix API", "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-surgepix" }, { "json": "https://www.anchorterminal.com/compare/artcraft-vs-iris-3b.json", "title": "ArtCraft vs Iris-3B", "url": "https://www.anchorterminal.com/compare/artcraft-vs-iris-3b" }, { "json": "https://www.anchorterminal.com/compare/artcraft-vs-surgepix.json", "title": "ArtCraft vs SurgePix API", "url": "https://www.anchorterminal.com/compare/artcraft-vs-surgepix" }, { "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-surgepix.json", "title": "Black Forest Labs FLUX API vs SurgePix API", "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-surgepix" }, { "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-surgepix.json", "title": "Bria API vs SurgePix API", "url": "https://www.anchorterminal.com/compare/bria-vs-surgepix" }, { "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-surgepix.json", "title": "fal image models vs SurgePix API", "url": "https://www.anchorterminal.com/compare/fal-image-vs-surgepix" }, { "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-surgepix.json", "title": "Google Imagen vs SurgePix API", "url": "https://www.anchorterminal.com/compare/google-imagen-vs-surgepix" }, { "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-surgepix.json", "title": "Ideogram API vs SurgePix API", "url": "https://www.anchorterminal.com/compare/ideogram-vs-surgepix" }, { "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" }, { "json": "https://www.anchorterminal.com/compare/leonardo-ai-vs-surgepix.json", "title": "Leonardo.Ai API vs SurgePix API", "url": "https://www.anchorterminal.com/compare/leonardo-ai-vs-surgepix" }, { "json": "https://www.anchorterminal.com/compare/openai-image-api-vs-surgepix.json", "title": "OpenAI Image API vs SurgePix API", "url": "https://www.anchorterminal.com/compare/openai-image-api-vs-surgepix" }, { "json": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-surgepix.json", "title": "Qwen-Image 2.1 (Model Studio) vs SurgePix API", "url": "https://www.anchorterminal.com/compare/qwen-image-2-1-vs-surgepix" }, { "json": "https://www.anchorterminal.com/compare/recraft-vs-surgepix.json", "title": "Recraft API vs SurgePix API", "url": "https://www.anchorterminal.com/compare/recraft-vs-surgepix" }, { "json": "https://www.anchorterminal.com/compare/replicate-image-vs-surgepix.json", "title": "Replicate image models vs SurgePix API", "url": "https://www.anchorterminal.com/compare/replicate-image-vs-surgepix" }, { "json": "https://www.anchorterminal.com/compare/seedream-on-byteplus-modelark-vs-surgepix.json", "title": "Seedream on BytePlus ModelArk vs SurgePix API", "url": "https://www.anchorterminal.com/compare/seedream-on-byteplus-modelark-vs-surgepix" }, { "json": "https://www.anchorterminal.com/compare/stability-ai-image-vs-surgepix.json", "title": "Stability AI Image API vs SurgePix API", "url": "https://www.anchorterminal.com/compare/stability-ai-image-vs-surgepix" } ], "panel": null, "scores": [ { "by": 30, "edge": "iris-3b", "iris-3b": 45, "key": "reliability", "name": "Reliability", "surgepix": 15, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 7, "edge": "iris-3b", "iris-3b": 47, "key": "schema", "name": "Schema \u0026 documentation", "surgepix": 40, "weight": 13 }, { "by": 1, "edge": "iris-3b", "iris-3b": 54, "key": "ergonomics", "name": "Agent ergonomics", "surgepix": 53, "weight": 13 }, { "by": 3, "edge": "iris-3b", "iris-3b": 44, "key": "security", "name": "Security \u0026 auth", "surgepix": 41, "weight": 14 }, { "by": 40, "edge": "iris-3b", "iris-3b": 60, "key": "payments", "name": "Payments \u0026 pricing", "surgepix": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 4, "edge": "iris-3b", "iris-3b": 70, "key": "maintenance", "name": "Maintenance \u0026 community", "surgepix": 66, "weight": 7 }, { "by": 24, "edge": "iris-3b", "iris-3b": 52, "key": "transparency", "name": "Transparency \u0026 trust", "surgepix": 28, "weight": 7 } ], "summary": "Iris-3B scores 51.3 (D) on agent readiness against SurgePix API's 36 (F), and leads in every scored category. Both do image generation.", "tasks": null, "tutorials": [], "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.", "surgepix": "A small, readable API with async tasks and MIT skill scripts that cover posters, decks, edits and translation. Only background removal is documented, the terms name no company and restrict commercial use and automated querying, and uploaded files become public URLs." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/iris-3b-vs-surgepix", "json": "https://www.anchorterminal.com/compare/iris-3b-vs-surgepix.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/iris-3b-vs-surgepix.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/iris-3b-vs-surgepix.min.md" }, "markdown": "Iris-3B scores 51.3 (D) on agent readiness against SurgePix API's 36 (F), and leads in every scored category. Both do image generation.\n\n- Iris-3B: grade D, 51.3/100, rank #933 of 1266. Markdown https://www.anchorterminal.com/tools/iris-3b.md · JSON https://www.anchorterminal.com/api/v1/tools/iris-3b.json\n- SurgePix API: grade F, 36/100, rank #1173 of 1266. Markdown https://www.anchorterminal.com/tools/surgepix.md · JSON https://www.anchorterminal.com/api/v1/tools/surgepix.json\n- Best image generation for AI agents: https://www.anchorterminal.com/best/image-generation/index.md\n- All 120 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 15\n- Schema \u0026 documentation, 47 against 40\n- Payments \u0026 pricing, 60 against 20\n- Transparency \u0026 trust, 52 against 28\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### SurgePix API (F)\n\nGood for: An agent that needs finished marketing assets, such as posters, slide decks, Xiaohongshu carousels, logos and translated images, as one file from a short request.\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Only background removal and upload are in the public API reference, with no OpenAPI file or llms.txt\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Iris-3B +40\n\n- Iris-3B (60): Free Apache-2.0 software with nothing to buy, so 20 + 20 + 20 for pricing, free use and no sign-up. No payment protocol (0). There is no hosted API. Hardware is the owner's cost.\n- SurgePix API (20): No x402, MPP or L402 (0). Plan prices and monthly credits are public, but credits are spent per token with no per-call price for any API task, so plan-only pricing (10). A free plan with 25 credits a day. The pages don't say whether a card is needed or whether a free account can create API keys, so half, a judgement call (10). A person signs up in a browser and creates the key in settings (0). 0+10+10+0 = 20.\n\n### Reliability: Iris-3B +30\n\n- Iris-3B (45): Read as local software, since Iris-3B is a model the owner runs. No package on PyPI. Install is a git clone and `pip install -e .`, with Python 3.11 or newer, PyTorch 2.7.1 or newer and an NVIDIA GPU with CUDA stated (12 of 20). The repository has 23 pytest files covering the model, flow, checkpoints and parallel training, but no CI workflow, so nothing shows them passing on main (5 of 25). Three GitHub issues in ten days, none a crash, two closed and one open announcing a community ComfyUI port. Six Hugging Face discussions, none a bug report (20 of 25). No tags, releases or changelog. Package version 0.1.0, and new checkpoints are added in folders of one Hub repository with no version pins (3 of 15). Released as a final checkpoint with no beta label, but the package is 0.1.0 and the project ten days old (5 of 15).\n- SurgePix API (15): Read with the hosted lines. No status page was found on surgepix.ai or in the docs, and status.surgepix.ai doesn't resolve (0). With no history to read, the incident line takes the floor (5). No rate limits with numbers are documented. The terms say \"non-human continuous or frequent query operations\" lead to automatic account suspension, with no threshold given (0). No 429 or backoff guidance. The skill scripts poll every 2 seconds for up to 5 to 15 minutes, but that is client code, not a documented policy (0). No SLA, and the terms disclaim uninterrupted service (0). The API isn't labelled beta or preview, and API keys have been self-serve since 2 June 2026 per the changelog (10). 0+5+0+0+0+10 = 15.\n\n### Transparency \u0026 trust: Iris-3B +24\n\n- Iris-3B (52): Apache-2.0 for code and weights, with a NOTICE file, a third-party licence table and the full training and distillation recipe. The training images and the Turbo prompt sets are not released or named in the README or card (25 of 30). Self-hosted, so inputs stay on the owner's hardware, but we found no statement saying so and speridlabs.com has no privacy policy (15 of 30). No deprecation policy, version tags or pinned revisions (2 of 20). No telemetry calls found in the inference code. Training defaults to `report_to: wandb`, which sends run config and validation images to Weights \u0026 Biases, can be set to `none`, and is not mentioned in the README (8 of 20).\n- SurgePix API (28): The editorial half. A closed service whose terms name no company or address. They restrict any commercial use of what the service produces without SurgePix's permission, and contain clauses from an unrelated product (a \"big data\" query platform and \"non-resume content\"). The skills are MIT. Unclear terms, with a little credit for the open skills (5). The privacy policy is dated both 10 June 2026 and 1 July 2022, describes WeChat and phone registration and \"domestic servers\", and gives no retention periods. The API reference says uploads go to Tencent Cloud storage in Seoul as public URLs. No DPA. The statements don't agree (5). No deprecation policy or notices, and the terms let changes take effect on publication without notice (0). Tencent Cloud Object Storage in ap-seoul is named in the API reference, and Alipay and WeChat Pay in the privacy policy. No subprocessor list or stated data location (4). 5+5+0+4 = 14.\n\n### Schema \u0026 documentation: Iris-3B +7\n\n- Iris-3B (47): Read for a model the owner runs through a CLI and a Python package. No server, OpenAPI or other machine-readable contract. The CLI uses argparse with typed flags and help text, and the Python functions carry type hints. The demo Spaces' Gradio API lists typed endpoints, but Speridlabs doesn't document it (8 of 25). No llms.txt. The README and model card are Markdown in each repository (5 of 10). The card and README state limits (unreliable rendered text and object counts, about one megapixel, depth relative not metric, Turbo's fixed schedule and lower seed variety) but not intended or out-of-scope uses (14 of 20). Flags are typed, with the size presets as an enum only in the Spaces. Height and width take any integer, though Turbo was distilled at seven sizes (9 of 15). Commands for every model and a tips table, but no documented errors (7 of 15). No versioning or changelog beyond dated commits (4 of 15).\n- SurgePix API (40): No OpenAPI or other machine-readable contract was found (0). surgepix.ai/llms.txt returns 404. The docs are HTML pages, but the 15 SKILL.md files in the MIT repository are Markdown written for agents, so half (5). The API reference states the purpose of each of its five operations and the async and session model. The SKILL.md files add trigger phrases and explicit do-not-use routing between skills, but 11 of the task endpoints the skills call appear only in their scripts, with no reference (10). Parameter tables give type and required for the documented operations, with no enums or limits, and the undocumented endpoints have no schema at all (7). JSON examples for every documented operation and an error table with 401, 404 and `error.file.sensitive_content` (10). A dated public changelog from 11 March 2026, but no version in the API path and no API-specific change notes (8). 0+5+10+7+10+8 = 40.\n\n## Score by category\n\n| Category | Weight | Iris-3B | SurgePix API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 15 | Iris-3B +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 47 | 40 | Iris-3B +7 |\n| Agent ergonomics | 13% (16.2 this run) | 54 | 53 | Iris-3B +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 44 | 41 | Iris-3B +3 |\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 | 66 | Iris-3B +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 52 | 28 | Iris-3B +24 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **51.3 · D** | **36 · F** | |\n\n## Facts side by side\n\n| Fact | Iris-3B | SurgePix API |\n| --- | --- | --- |\n| Kind | Model API | HTTP API |\n| Vendor | Speridlabs | SurgePix |\n| Hosted endpoint | no (local only) | `https://api.surgepix.ai/api` |\n| Transports | | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 (code and weights) | Proprietary hosted service under the Surgepix User Agreement, which names no company and restricts commercial use without SurgePix's permission. The agent skills repository is MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-12 | 2026-10-23 |\n| Terms last updated | no document linked | no date given |\n| Privacy policy last updated | no document linked | 2026-06-10 |\n| Customer content may train models | not read yet | not found in the text |\n| Terms restrict automated access | not read yet | yes |\n| Terms restrict benchmarking | not read yet | not found in the text |\n| Terms or service can change without notice | not read yet | not found in the text |\n| Arbitration or class-action waiver | not read yet | not found in the text |\n| Popularity | 175 stars | none |\n\n## How the scores have moved\n\n### Iris-3B\n\n- +0.4 on 27 October 2026: checklist\n\n### SurgePix API\n\nNo score change since it was listed.\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**SurgePix API.** A small, readable API with async tasks and MIT skill scripts that cover posters, decks, edits and translation. Only background removal is documented, the terms name no company and restrict commercial use and automated querying, and uploaded files become public URLs.\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### SurgePix API\n\n1. Send the key as the raw `authorization` header value, with no `Bearer` prefix\n2. Don't upload confidential files. The upload flow returns a public URL for every file\n3. Check `code` in the JSON body as well as the HTTP status, since failures come back as a non-zero `code` with a `msg`\n4. Poll `GET /tasks/{taskId}` within 24 hours, after which the task returns 404\n5. Get written permission before using outputs commercially, since the terms restrict commercial use\n\n## Questions\n\n### Which is better for AI agents, Iris-3B or SurgePix API?\n\nIris-3B scores 51.3 (D) on agent readiness against SurgePix API's 36 (F), and leads in every scored category.\n\n### Do Iris-3B and SurgePix API need an API key?\n\nIris-3B needs no key. SurgePix API needs an API key.\n\n### Can an agent call Iris-3B and SurgePix API without installing anything?\n\nNo hosted endpoint is listed for Iris-3B. SurgePix API has a hosted endpoint at https://api.surgepix.ai/api.\n\n### Are Iris-3B and SurgePix API open source?\n\nIris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for SurgePix API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/iris-3b-vs-surgepix.json, and with the fewest tokens: https://www.anchorterminal.com/compare/iris-3b-vs-surgepix.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"iris-3b\", \"b\": \"surgepix\"}`. From a terminal: `anchor compare iris-3b surgepix`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/iris-3b.json and https://www.anchorterminal.com/api/v1/tools/surgepix.json\n\n## Other comparisons with Iris-3B or SurgePix 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 SurgePix API](https://www.anchorterminal.com/compare/adobe-firefly-vs-surgepix.md)\n- [ArtCraft vs Iris-3B](https://www.anchorterminal.com/compare/artcraft-vs-iris-3b.md)\n- [ArtCraft vs SurgePix API](https://www.anchorterminal.com/compare/artcraft-vs-surgepix.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 SurgePix API](https://www.anchorterminal.com/compare/black-forest-labs-vs-surgepix.md)\n- [Bria API vs Iris-3B](https://www.anchorterminal.com/compare/bria-vs-iris-3b.md)\n- [Bria API vs SurgePix API](https://www.anchorterminal.com/compare/bria-vs-surgepix.md)\n- [fal image models vs Iris-3B](https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.md)\n- [fal image models vs SurgePix API](https://www.anchorterminal.com/compare/fal-image-vs-surgepix.md)\n- [Google Imagen vs Iris-3B](https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.md)\n- [Google Imagen vs SurgePix API](https://www.anchorterminal.com/compare/google-imagen-vs-surgepix.md)\n- [Ideogram API vs Iris-3B](https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.md)\n- [Ideogram API vs SurgePix API](https://www.anchorterminal.com/compare/ideogram-vs-surgepix.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- [Leonardo.Ai API vs SurgePix API](https://www.anchorterminal.com/compare/leonardo-ai-vs-surgepix.md)\n- [OpenAI Image API vs SurgePix API](https://www.anchorterminal.com/compare/openai-image-api-vs-surgepix.md)\n- [Qwen-Image 2.1 (Model Studio) vs SurgePix API](https://www.anchorterminal.com/compare/qwen-image-2-1-vs-surgepix.md)\n- [Recraft API vs SurgePix API](https://www.anchorterminal.com/compare/recraft-vs-surgepix.md)\n- [Replicate image models vs SurgePix API](https://www.anchorterminal.com/compare/replicate-image-vs-surgepix.md)\n- [Seedream on BytePlus ModelArk vs SurgePix API](https://www.anchorterminal.com/compare/seedream-on-byteplus-modelark-vs-surgepix.md)\n- [Stability AI Image API vs SurgePix API](https://www.anchorterminal.com/compare/stability-ai-image-vs-surgepix.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-02", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "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 SurgePix API", "url": "" } ], "description": "Iris-3B scores 51.3 (D) to SurgePix's 36 (F) for image generation. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Iris-3B D 51.3", "SurgePix API F 36", "scores" ], "h1": "Iris-3B vs SurgePix API", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/iris-3b-vs-surgepix", "published": "2026-10-01", "section": "tools", "title": "Iris-3B vs SurgePix for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-02", "url": "https://www.anchorterminal.com/compare/iris-3b-vs-surgepix" }, "tokens": { "markdown": 4100, "slim": 2180 }, "version": 1 }