{ "data": { "a": { "slug": "google-veo", "name": "Google Veo", "vendor": "Google", "vendorUrl": "https://ai.google.dev", "kind": "model", "category": "video-generation", "summary": "Google's Veo video models through the Gemini API (predictLongRunning) and Vertex AI.", "url": "https://www.anchorterminal.com/tools/google-veo", "markdownUrl": "https://www.anchorterminal.com/tools/google-veo.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/google-veo.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/google-veo.json", "repo": "https://github.com/googleapis/python-genai", "license": "Apache-2.0 (SDKs)", "transports": [ "http" ], "remoteUrl": "https://generativelanguage.googleapis.com/v1beta", "packages": [ { "registry": "pypi", "name": "google-genai" }, { "registry": "npm", "name": "@google/genai" } ], "auth": "api-key", "authNotes": "`x-goog-api-key` header with a key from AI Studio on the Gemini API. Vertex AI uses Google Cloud OAuth (service account or gcloud token) instead.", "pricing": "usage", "pricingNotes": "No free tier for Veo. Billed per second of video with audio. Veo 3.1 $0.40 a second at 720p and 1080p, $0.60 at 4K. Veo 3.1 Fast $0.10 at 720p, $0.12 at 1080p, $0.30 at 4K. Veo 3.1 Lite $0.05 at 720p, $0.08 at 1080p. You're charged only when a video is generated (https://ai.google.dev/gemini-api/docs/pricing).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No machine payment. Needs billing on a Google Cloud project (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://ai.google.dev/gemini-api/docs/veo", "rateLimitsUrl": "https://ai.google.dev/gemini-api/docs/rate-limits", "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt", "capabilities": [ "video.generate", "video.image-to-video", "video.audio", "video.extend" ], "tags": [ "official", "hosted", "closed-source", "card-required", "llms-txt", "async-jobs", "python", "typescript", "watermark" ], "lastRelease": "2026-09-22", "graded": true, "anchor": { "graded": true, "score": 60.4, "grade": "C", "agentReady": false, "rank": 465, "ranked": true, "rankOf": 842, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 64, "maintenance": 77, "payments": 20, "reliability": 45, "schema": 71, "security": 78, "transparency": 75 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Audio on every Veo 3.1 clip, up to 4K on Veo 3.1 and Fast. All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22.", "bestFor": "Teams already on Google Cloud who want sound with every clip and a choice between cheap (Lite) and top quality (Veo 3.1, 4K).", "strengths": [ "Audio on every Veo 3.1 clip, up to 4K on Veo 3.1 and Fast", "Lite at $0.05 a second for 720p with audio", "Keys restrictable to the Gemini API and by IP or app, with OAuth and IAM on Vertex AI", "Paid-tier prompts and outputs aren't used to improve Google's products", "Deprecations page dates every Veo shutdown and names the replacement" ], "weaknesses": [ "All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22", "Veo 2.0 and 3.0 already shut down on 2026-06-30", "No free tier and no per-model rate limits published", "Clips are 4, 6 or 8 seconds per call, and 1080p and 4K need 8", "The Veo endpoint isn't covered by Google's SLA" ], "agentNotes": [ "Move off `veo-3.1-*-preview` before 2026-10-22. Use `gemini-omni-1.1-flash` on the Gemini API or the GA Veo IDs on Vertex AI", "Call `predictLongRunning`, then poll the operation name about every 10 seconds until `done` is true. Jobs take 11 seconds to 6 minutes", "Download the video within 2 days. The server deletes it after that", "Set `durationSeconds` to 8 for 1080p, 4K or reference images. Shorter clips aren't supported there", "In the EU, UK, Switzerland and MENA image-to-video only accepts `personGeneration` set to `allow_adult`" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 60.4 } ], "editorialScores": { "ergonomics": 64, "maintenance": 77, "payments": 20, "reliability": 45, "schema": 71, "security": 78, "transparency": 60 }, "provenanceScore": 89 }, "connect": { "install": "pip install google-genai # or: npm i @google/genai", "http": "curl -X POST \"https://generativelanguage.googleapis.com/v1beta/models/veo-3.1-lite-generate-preview:predictLongRunning\" \\\n -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"instances\":[{\"prompt\":\"a paper boat drifting down a rainy street\"}]}'" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/google-veo" }, "sameCompany": [ "gemini-api", "gemini-embedding", "vertex-ai-tuning", "google-model-armor", "google-imagen", "google-lyria", "google-speech-to-text", "gemini-live", "google-adk", "google-secret-manager", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-drive-api", "gemini-cli", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api" ], "area": "content", "unitPrices": [ { "item": "Veo 3.1 720p or 1080p", "unit": "video-second", "usd": 0.4, "note": "with audio" }, { "item": "Veo 3.1 4K", "unit": "video-second", "usd": 0.6, "note": "with audio" }, { "item": "Veo 3.1 Fast 720p", "unit": "video-second", "usd": 0.1, "note": "with audio" }, { "item": "Veo 3.1 Fast 1080p", "unit": "video-second", "usd": 0.12, "note": "with audio" }, { "item": "Veo 3.1 Fast 4K", "unit": "video-second", "usd": 0.3, "note": "with audio" }, { "item": "Veo 3.1 Lite 720p", "unit": "video-second", "usd": 0.05, "note": "with audio" }, { "item": "Veo 3.1 Lite 1080p", "unit": "video-second", "usd": 0.08, "note": "with audio" } ], "provenance": { "legalEntity": "Google LLC", "domain": "google.com", "domainRegistered": "1997-09-15", "endpointOnVendorDomain": true, "terms": "https://ai.google.dev/gemini-api/terms", "privacy": "https://policies.google.com/privacy", "statusPage": "https://aistudio.google.com/status", "changelog": "https://ai.google.dev/gemini-api/docs/changelog", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997", "Vertex AI is now called Gemini Enterprise Agent Platform in Google's docs" ], "score": 89 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/google-veo.json", "live": { "slug": "google-veo", "probe": { "target": "https://generativelanguage.googleapis.com/v1beta", "method": "get", "lastAt": "2026-10-09T11:46:29.662070901Z", "lastOk": true, "lastStatus": 404, "lastMs": 11, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 12, "p95ms24h": 28, "samples24h": 259, "samples30d": 2311, "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": 125, "ok": 125 } ] }, "versions": [ { "registry": "github", "name": "googleapis/python-genai", "version": "v2.29.0", "released": "2026-10-07", "seenAt": "2026-10-08T16:14:36.547058367Z" }, { "registry": "npm", "name": "@google/genai", "version": "2.28.0", "seenAt": "2026-10-08T16:14:33.588011152Z" }, { "registry": "pypi", "name": "google-genai", "version": "2.29.0", "released": "2026-10-07", "seenAt": "2026-10-08T16:14:33.460415673Z" } ], "githubStars": 4009, "npmWeekly": 29486957, "pypiWeekly": 34128301, "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-10-08T15:38:39.75078566Z" }, "llmsTxt": { "url": "https://ai.google.dev/gemini-api/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:33.27867261Z" }, "domain": { "domain": "google.com", "registered": "1997-09-15", "source": "https://rdap.verisign.com/com/v1/domain/google.com", "checkedAt": "2026-10-04T13:05:50.737985829Z" }, "updatedAt": "2026-10-09T11:46:29.662070901Z" } }, "answer": "Higgsfield API scores 63.5 (B) on agent readiness against Google Veo's 60.4 (C), and leads in 2 of 7 scored categories. Google Veo leads on security \u0026 auth and transparency \u0026 trust.", "b": { "slug": "higgsfield", "name": "Higgsfield API", "vendor": "Higgsfield Inc.", "vendorUrl": "https://higgsfield.ai", "kind": "http-api", "category": "video-generation", "summary": "Higgsfield's API for generating images and video from its own models (Genjutsu, Soul, Cinema Studio) and hosted ones such as Kling, Seedance and Wan. Requests are asynchronous, with polling or webhooks, and Python and TypeScript SDKs.", "url": "https://www.anchorterminal.com/tools/higgsfield", "markdownUrl": "https://www.anchorterminal.com/tools/higgsfield.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/higgsfield.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/higgsfield.json", "repo": "https://github.com/higgsfield-ai/higgsfield-client", "license": "Proprietary service under the Higgsfield API Terms of Service. The Python SDK repository is Apache-2.0 and the TypeScript SDK is MIT on npm", "transports": [ "http" ], "remoteUrl": "https://api.higgsfield.ai", "packages": [ { "registry": "pypi", "name": "higgsfield-client" }, { "registry": "npm", "name": "@higgsfield/client" } ], "auth": "api-key", "authNotes": "Self-serve. A person signs up at open.higgsfield.ai (email and password, or SSO) and creates a key ID and secret in the console. Send them as `Authorization: Key \u003ckey_id\u003e:\u003ckey_secret\u003e`. The legacy `hf-api-key` and `hf-secret` headers still work. Keys belong to a workspace and carry no scopes. Some endpoints that depict a real person's face or voice can need identity or business verification under the API terms.", "pricing": "usage", "pricingNotes": "Pay as you go from a prepaid balance, priced per second of video or per image, with list prices public at open.higgsfield.ai/pricing. No free credits or free tier were found, and no sandbox. Kling 3.0 lists from $0.084 a second and Seedance 2.5 from $0.206. A lower max-discount price is shown beside each, and a cashback scheme starts at $5,000 of spend in 30 days. Credits expire after a year (checked 2026-10-08).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the API docs, the OpenAPI file, llms.txt or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 126, "npmWeekly": 197350, "pypiWeekly": 28142, "asOf": "2026-10-08" }, "docsUrl": "https://docs.higgsfield.ai/docs", "llmsTxt": "https://docs.higgsfield.ai/docs/llms.txt", "openapi": "https://docs.higgsfield.ai/docs/openapi.json", "capabilities": [ "video.generate", "video.image-to-video", "video.edit", "video.audio", "image.generate", "image.edit" ], "tags": [ "official", "hosted", "closed-source", "model-platform", "card-required", "openapi", "llms-txt", "async-jobs", "webhooks", "idempotency", "python", "typescript", "status-page" ], "lastRelease": "2026-09-17", "graded": true, "anchor": { "graded": true, "score": 63.5, "grade": "B", "agentReady": false, "rank": 356, "ranked": true, "rankOf": 842, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 75, "payments": 20, "reliability": 85, "schema": 69, "security": 48, "transparency": 61 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "One asynchronous API for 67 video and 17 image catalogue entries, with idempotency keys, per-second list prices public without a login, and failed or moderated jobs not charged. API inputs and outputs train Higgsfield's models unless the workspace opts out, and the docs carry no changelog. The API returns 400 at the concurrency limit, with no Retry-After.", "bestFor": "An agent that wants several vendors' video models behind one key, one request lifecycle and safe retries, at published per-second prices.", "strengths": [ "Per-second list prices for each model on open.higgsfield.ai/pricing without a login, and an `/estimate/...` call that returns the cost before submitting", "`Idempotency-Key` on every generation endpoint, with replays returning the original `request_id` and no second charge", "Requests ending `failed` or `nsfw` aren't charged, and a queued request cancelled before it starts is refunded", "Each model page carries a full JSON Schema with enums, limits and `additionalProperties: false`, and llms.txt and Markdown twins exist", "status.higgsfield.ai shows no notices and 100.0 per cent for the API from August to October 2026" ], "weaknesses": [ "API inputs and outputs can train Higgsfield's models by default. The opt-out is a workspace setting, processed within 10 business days", "Reaching the concurrency limit returns `400 Bad Request` with a message string, and the docs say no rate-limit headers or `Retry-After` are sent", "No changelog was found in the docs, although the API terms name one as the channel for deprecations and removals", "Keys have no scopes or read-only mode, and no webhook signature is documented", "No free credits were found, and a new account starts at 2 concurrent generations until it adds $25", "`/docs/openapi.json` covers 8 paths of an 84-entry catalogue, and llms.txt calls it supplementary" ], "agentNotes": [ "Send `Authorization: Key \u003ckey_id\u003e:\u003ckey_secret\u003e` to https://api.higgsfield.ai. A Bearer token is rejected", "Send a fresh `Idempotency-Key` with every generation. After a timeout or 5xx, repeat the same request with the same key, then read `status_url`", "Treat a 400 whose `detail` mentions concurrent requests as a limit, not a bad request. Wait for a running job to finish before submitting more", "Poll `status_url` from 2 seconds up to 10 with jitter, and stop on `completed`, `failed`, `nsfw` or `canceled`", "Download output within seven days. Media files may be deleted after that", "Read the model's own docs page for its schema. The OpenAPI file lists only a few models" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63.5 } ], "editorialScores": { "ergonomics": 77, "maintenance": 75, "payments": 20, "reliability": 85, "schema": 69, "security": 48, "transparency": 45 }, "provenanceScore": 77 }, "connect": { "install": "pip install higgsfield-client", "http": "curl --request POST \\\n --url https://api.higgsfield.ai/higgsfield/genjutsu/motion-transfer/v1.0 \\\n --header \"Authorization: Key ${HF_API_KEY_ID}:${HF_API_KEY_SECRET}\" \\\n --header \"Content-Type: application/json\" \\\n --data '{\"video_url\": \"https://example.com/input.mp4\", \"image_urls\": [\"https://example.com/input.jpg\"]}'" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/higgsfield" }, "area": "content", "unitPrices": [ { "item": "Kling 3.0, list price from", "unit": "video-second", "usd": 0.084, "note": "The pricing page also shows a max-discount price from $0.042. The discount's conditions weren't readable" }, { "item": "Seedance 2.5, list price from", "unit": "video-second", "usd": 0.206, "note": "Max-discount price from $0.144" }, { "item": "Wan 3.0 Prime, list price from", "unit": "video-second", "usd": 0.068, "note": "Max-discount price from $0.041" }, { "item": "Genjutsu 480p, list price", "unit": "video-second", "usd": 0.318, "note": "Per second of source video, rounded up. 720p $0.681 and 1080p $1.632 per the docs. Max-discount price from $0.159" }, { "item": "Kling 2.5, list price from", "unit": "video-second", "usd": 0.042, "note": "Max-discount price from $0.021" } ], "provenance": { "legalEntity": "Higgsfield Inc.", "domain": "higgsfield.ai", "domainRegistered": "2023-06-07", "endpointOnVendorDomain": true, "terms": "https://open.higgsfield.ai/terms-of-service", "privacy": "https://higgsfield.ai/privacy-policy", "statusPage": "https://status.higgsfield.ai", "changelog": "", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The API Terms of Service (last updated 2 September 2026) name Higgsfield Inc., 535 Mission St, 14th Floor, San Francisco, CA 94105, and are supplemental to the Terms of Use Agreement of 26 July 2026 at https://higgsfield.ai/terms-of-use-agreement.", "The privacy policy (last updated 26 July 2026, effective 27 August 2026) says it covers the website, applications and APIs. The API terms incorporate a DPA where Higgsfield processes personal data on a customer's behalf. We found no public link to it.", "The API answers at https://api.higgsfield.ai and the console at https://open.higgsfield.ai (console.higgsfield.ai redirects there).", "https://higgsfield.ai/.well-known/security.txt has a contact, a PGP key and an expiry of 12 September 2027. Its comment block is a set of instructions addressed to AI agents and automated security tools about testing scope. We recorded it and did not act on it.", "No changelog page is in the docs sitemap. The API terms list a changelog as part of the documentation.", "RDAP for higgsfield.ai gives a registration date of 2023-06-07." ], "score": 77 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/higgsfield.json", "live": { "slug": "higgsfield", "probe": { "target": "https://api.higgsfield.ai", "method": "get", "lastAt": "2026-10-09T11:46:30.376819325Z", "lastOk": true, "lastStatus": 405, "lastMs": 161, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 161, "p95ms24h": 245, "samples24h": 44, "samples30d": 44, "days": [ { "date": "2026-10-09", "probes": 44, "ok": 44 } ] }, "vendorStatus": { "page": "https://status.higgsfield.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:03.234604982Z" }, "updatedAt": "2026-10-09T11:46:30.376819325Z" } }, "facts": [ { "a": "Model API", "b": "HTTP API", "name": "Kind" }, { "a": "Google", "b": "Higgsfield Inc.", "name": "Vendor" }, { "a": "https://generativelanguage.googleapis.com/v1beta", "b": "https://api.higgsfield.ai", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (SDKs)", "b": "Proprietary service under the Higgsfield API Terms of Service. The Python SDK repository is Apache-2.0 and the TypeScript SDK is MIT on npm", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-22", "b": "2026-09-17", "name": "Last release" }, { "a": "2026-04-28", "b": "2026-09-02", "name": "Terms last updated" }, { "a": "2026-10-01", "b": "2026-07-26", "name": "Privacy policy last updated" }, { "a": "yes", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "4k stars", "b": "126 stars, 197k npm/wk, 28k PyPI/wk", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Higgsfield API scores 63.5 (B) on agent readiness against Google Veo's 60.4 (C), and leads in 2 of 7 scored categories. Google Veo leads on security \u0026 auth and transparency \u0026 trust.", "question": "Which is better for AI agents, Google Veo or Higgsfield API?" }, { "answer": "Both need an API key.", "question": "Do Google Veo and Higgsfield API need an API key?" }, { "answer": "Yes. Google Veo has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and Higgsfield API at https://api.higgsfield.ai.", "question": "Can an agent call Google Veo and Higgsfield API without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 78 against 48", "Transparency \u0026 trust, 75 against 61" ], "also": null, "goodFor": "Teams already on Google Cloud who want sound with every clip and a choice between cheap (Lite) and top quality (Veo 3.1, 4K).", "slug": "google-veo", "watchFor": "All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22" }, { "aheadOn": [ "Reliability, 85 against 45", "Agent ergonomics, 77 against 64" ], "also": null, "goodFor": "An agent that wants several vendors' video models behind one key, one request lifecycle and safe retries, at published per-second prices.", "slug": "higgsfield", "watchFor": "API inputs and outputs can train Higgsfield's models by default. The opt-out is a workspace setting, processed within 10 business days" } ], "job": { "capability": "video.generate", "name": "Video generate" }, "others": [ { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.json", "title": "Alibaba Wan (Model Studio) vs Google Veo", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-higgsfield.json", "title": "Alibaba Wan (Model Studio) vs Higgsfield API", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-higgsfield" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-google-veo.json", "title": "fal video models vs Google Veo", "url": "https://www.anchorterminal.com/compare/fal-video-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-higgsfield.json", "title": "fal video models vs Higgsfield API", "url": "https://www.anchorterminal.com/compare/fal-video-vs-higgsfield" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-kling.json", "title": "Google Veo vs Kling AI API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-kling" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-luma.json", "title": "Google Veo vs Luma AI API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-minimax-video.json", "title": "Google Veo vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-openai-sora.json", "title": "Google Veo vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-pika.json", "title": "Google Veo vs Pika API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-pixverse.json", "title": "Google Veo vs PixVerse API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.json", "title": "Google Veo vs Replicate video models", "url": "https://www.anchorterminal.com/compare/google-veo-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-runway.json", "title": "Google Veo vs Runway API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-vidu.json", "title": "Google Veo vs Vidu API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-vidu" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-kling.json", "title": "Higgsfield API vs Kling AI API", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-kling" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-luma.json", "title": "Higgsfield API vs Luma AI API", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-minimax-video.json", "title": "Higgsfield API vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-openai-sora.json", "title": "Higgsfield API vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-pika.json", "title": "Higgsfield API vs Pika API", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-pixverse.json", "title": "Higgsfield API vs PixVerse API", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-replicate-video.json", "title": "Higgsfield API vs Replicate video models", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-runway.json", "title": "Higgsfield API vs Runway API", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-vidu.json", "title": "Higgsfield API vs Vidu API", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-vidu" } ], "scores": [ { "by": 40, "edge": "higgsfield", "google-veo": 45, "higgsfield": 85, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "edge": "google-veo", "google-veo": 71, "higgsfield": 69, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 13, "edge": "higgsfield", "google-veo": 64, "higgsfield": 77, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 30, "edge": "google-veo", "google-veo": 78, "higgsfield": 48, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "google-veo": 20, "higgsfield": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "google-veo", "google-veo": 77, "higgsfield": 75, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 14, "edge": "google-veo", "google-veo": 75, "higgsfield": 61, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Higgsfield API scores 63.5 (B) on agent readiness against Google Veo's 60.4 (C), and leads in 2 of 7 scored categories. Google Veo leads on security \u0026 auth and transparency \u0026 trust. Both do video generate.", "verdicts": { "google-veo": "Audio on every Veo 3.1 clip, up to 4K on Veo 3.1 and Fast. All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22.", "higgsfield": "One asynchronous API for 67 video and 17 image catalogue entries, with idempotency keys, per-second list prices public without a login, and failed or moderated jobs not charged. API inputs and outputs train Higgsfield's models unless the workspace opts out, and the docs carry no changelog. The API returns 400 at the concurrency limit, with no Retry-After." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield", "json": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.md", "slim": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.min.md" }, "markdown": "Higgsfield API scores 63.5 (B) on agent readiness against Google Veo's 60.4 (C), and leads in 2 of 7 scored categories. Google Veo leads on security \u0026 auth and transparency \u0026 trust. Both do video generate.\n\n- Google Veo: grade C, 60.4/100, rank #465 of 842. Markdown https://www.anchorterminal.com/tools/google-veo.md · JSON https://www.anchorterminal.com/api/v1/tools/google-veo.json\n- Higgsfield API: grade B, 63.5/100, rank #356 of 842. Markdown https://www.anchorterminal.com/tools/higgsfield.md · JSON https://www.anchorterminal.com/api/v1/tools/higgsfield.json\n\n## Which one, for what\n\n### Google Veo (C)\n\nGood for: Teams already on Google Cloud who want sound with every clip and a choice between cheap (Lite) and top quality (Veo 3.1, 4K).\n\nAhead on:\n- Security \u0026 auth, 78 against 48\n- Transparency \u0026 trust, 75 against 61\n\nWatch for: All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22\n\n### Higgsfield API (B)\n\nGood for: An agent that wants several vendors' video models behind one key, one request lifecycle and safe retries, at published per-second prices.\n\nAhead on:\n- Reliability, 85 against 45\n- Agent ergonomics, 77 against 64\n\nWatch for: API inputs and outputs can train Higgsfield's models by default. The opt-out is a workspace setting, processed within 10 business days\n\n\n## Score by category\n\n| Category | Weight | Google Veo | Higgsfield API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 85 | Higgsfield API +40 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 71 | 69 | Google Veo +2 |\n| Agent ergonomics | 13% (16.2 this run) | 64 | 77 | Higgsfield API +13 |\n| Security \u0026 auth | 14% (17.5 this run) | 78 | 48 | Google Veo +30 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 75 | Google Veo +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 75 | 61 | Google Veo +14 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **60.4 · C** | **63.5 · B** | |\n\n## Facts side by side\n\n| Fact | Google Veo | Higgsfield API |\n| --- | --- | --- |\n| Kind | Model API | HTTP API |\n| Vendor | Google | Higgsfield Inc. |\n| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta` | `https://api.higgsfield.ai` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | Proprietary service under the Higgsfield API Terms of Service. The Python SDK repository is Apache-2.0 and the TypeScript SDK is MIT on npm |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-22 | 2026-09-17 |\n| Terms last updated | 2026-04-28 | 2026-09-02 |\n| Privacy policy last updated | 2026-10-01 | 2026-07-26 |\n| Customer content may train models | yes | yes, with an opt-out |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 4k stars | 126 stars, 197k npm/wk, 28k PyPI/wk |\n| Agent reviews | 2.5/5 (2) | none |\n\n## Verdicts\n\n**Google Veo.** Audio on every Veo 3.1 clip, up to 4K on Veo 3.1 and Fast. All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22.\n\n**Higgsfield API.** One asynchronous API for 67 video and 17 image catalogue entries, with idempotency keys, per-second list prices public without a login, and failed or moderated jobs not charged. API inputs and outputs train Higgsfield's models unless the workspace opts out, and the docs carry no changelog. The API returns 400 at the concurrency limit, with no Retry-After.\n\n## Before you call either\n\n### Google Veo\n\n1. Move off `veo-3.1-*-preview` before 2026-10-22. Use `gemini-omni-1.1-flash` on the Gemini API or the GA Veo IDs on Vertex AI\n2. Call `predictLongRunning`, then poll the operation name about every 10 seconds until `done` is true. Jobs take 11 seconds to 6 minutes\n3. Download the video within 2 days. The server deletes it after that\n4. Set `durationSeconds` to 8 for 1080p, 4K or reference images. Shorter clips aren't supported there\n5. In the EU, UK, Switzerland and MENA image-to-video only accepts `personGeneration` set to `allow_adult`\n\n### Higgsfield API\n\n1. Send `Authorization: Key \u003ckey_id\u003e:\u003ckey_secret\u003e` to https://api.higgsfield.ai. A Bearer token is rejected\n2. Send a fresh `Idempotency-Key` with every generation. After a timeout or 5xx, repeat the same request with the same key, then read `status_url`\n3. Treat a 400 whose `detail` mentions concurrent requests as a limit, not a bad request. Wait for a running job to finish before submitting more\n4. Poll `status_url` from 2 seconds up to 10 with jitter, and stop on `completed`, `failed`, `nsfw` or `canceled`\n5. Download output within seven days. Media files may be deleted after that\n6. Read the model's own docs page for its schema. The OpenAPI file lists only a few models\n\n## Questions\n\n### Which is better for AI agents, Google Veo or Higgsfield API?\n\nHiggsfield API scores 63.5 (B) on agent readiness against Google Veo's 60.4 (C), and leads in 2 of 7 scored categories. Google Veo leads on security \u0026 auth and transparency \u0026 trust.\n\n### Do Google Veo and Higgsfield API need an API key?\n\nBoth need an API key.\n\n### Can an agent call Google Veo and Higgsfield API without installing anything?\n\nYes. Google Veo has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and Higgsfield API at https://api.higgsfield.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.json, and with the fewest tokens: https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"google-veo\", \"b\": \"higgsfield\"}`. From a terminal: `anchor compare google-veo higgsfield`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/google-veo.json and https://www.anchorterminal.com/api/v1/tools/higgsfield.json\n\n## Other comparisons with Google Veo or Higgsfield API\n\n- [Alibaba Wan (Model Studio) vs Google Veo](https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.md)\n- [Alibaba Wan (Model Studio) vs Higgsfield API](https://www.anchorterminal.com/compare/alibaba-wan-vs-higgsfield.md)\n- [fal video models vs Google Veo](https://www.anchorterminal.com/compare/fal-video-vs-google-veo.md)\n- [fal video models vs Higgsfield API](https://www.anchorterminal.com/compare/fal-video-vs-higgsfield.md)\n- [Google Veo vs Kling AI API](https://www.anchorterminal.com/compare/google-veo-vs-kling.md)\n- [Google Veo vs Luma AI API](https://www.anchorterminal.com/compare/google-veo-vs-luma.md)\n- [Google Veo vs MiniMax Video API](https://www.anchorterminal.com/compare/google-veo-vs-minimax-video.md)\n- [Google Veo vs OpenAI Sora API](https://www.anchorterminal.com/compare/google-veo-vs-openai-sora.md)\n- [Google Veo vs Pika API](https://www.anchorterminal.com/compare/google-veo-vs-pika.md)\n- [Google Veo vs PixVerse API](https://www.anchorterminal.com/compare/google-veo-vs-pixverse.md)\n- [Google Veo vs Replicate video models](https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.md)\n- [Google Veo vs Runway API](https://www.anchorterminal.com/compare/google-veo-vs-runway.md)\n- [Google Veo vs Vidu API](https://www.anchorterminal.com/compare/google-veo-vs-vidu.md)\n- [Higgsfield API vs Kling AI API](https://www.anchorterminal.com/compare/higgsfield-vs-kling.md)\n- [Higgsfield API vs Luma AI API](https://www.anchorterminal.com/compare/higgsfield-vs-luma.md)\n- [Higgsfield API vs MiniMax Video API](https://www.anchorterminal.com/compare/higgsfield-vs-minimax-video.md)\n- [Higgsfield API vs OpenAI Sora API](https://www.anchorterminal.com/compare/higgsfield-vs-openai-sora.md)\n- [Higgsfield API vs Pika API](https://www.anchorterminal.com/compare/higgsfield-vs-pika.md)\n- [Higgsfield API vs PixVerse API](https://www.anchorterminal.com/compare/higgsfield-vs-pixverse.md)\n- [Higgsfield API vs Replicate video models](https://www.anchorterminal.com/compare/higgsfield-vs-replicate-video.md)\n- [Higgsfield API vs Runway API](https://www.anchorterminal.com/compare/higgsfield-vs-runway.md)\n- [Higgsfield API vs Vidu API](https://www.anchorterminal.com/compare/higgsfield-vs-vidu.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "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" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Google Veo vs Higgsfield API", "url": "" } ], "description": "Higgsfield API scores 63.5 (B) on agent readiness against Google Veo's 60.4 (C), and leads in 2 of 7 scored categories. Google Veo leads on security \u0026 auth and transparency \u0026 trust. Both do video generate. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Google Veo C 60.4", "Higgsfield API B 63.5", "scores" ], "h1": "Google Veo vs Higgsfield API", "image": "https://www.anchorterminal.com/assets/og/compare-google-veo-vs-higgsfield.png", "path": "/compare/google-veo-vs-higgsfield", "published": "2026-10-01", "section": "tools", "title": "Google Veo vs Higgsfield API for AI agents, C 60.4 vs B 63.5", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield" }, "tokens": { "markdown": 2300, "slim": 630 }, "version": 1 }