{ "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": 60.8, "grade": "C", "agentReady": false, "rank": 240, "ranked": true, "rankOf": 452, "categoryRank": 3, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 64, "maintenance": 77, "payments": 20, "reliability": 45, "schema": 71, "security": 78, "transparency": 80 }, "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.", "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": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 60.8 } ], "editorialScores": { "ergonomics": 64, "maintenance": 77, "payments": 20, "reliability": 45, "schema": 71, "security": 78, "transparency": 60 }, "provenanceScore": 100 }, "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", "google-adk", "google-secret-manager", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "google-drive-api", "gemini-cli" ], "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": 100 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/google-veo.json", "live": { "slug": "google-veo", "probe": { "target": "https://generativelanguage.googleapis.com/v1beta", "method": "get", "lastAt": "2026-10-04T23:32:47.985081126Z", "lastOk": true, "lastStatus": 404, "lastMs": 11, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 12, "p95ms24h": 20, "samples24h": 272, "samples30d": 1097, "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": 267, "ok": 267 } ] }, "versions": [ { "registry": "github", "name": "googleapis/python-genai", "version": "v2.28.0", "released": "2026-10-02", "seenAt": "2026-10-04T16:28:56.783424568Z" }, { "registry": "npm", "name": "@google/genai", "version": "2.27.0", "seenAt": "2026-10-04T16:28:56.544083837Z" }, { "registry": "pypi", "name": "google-genai", "version": "2.28.0", "released": "2026-10-02", "seenAt": "2026-10-04T16:28:56.434988851Z" } ], "githubStars": 4002, "npmWeekly": 29048793, "pypiWeekly": 34122162, "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-10-04T15:15:53.387118101Z" }, "llmsTxt": { "url": "https://ai.google.dev/gemini-api/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:54.028495562Z" }, "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": "2026-10-04T23:32:47.985081126Z" } }, "b": { "slug": "runway", "name": "Runway API", "vendor": "Runway", "vendorUrl": "https://runway.com", "kind": "model", "category": "video-generation", "summary": "Runway Dev, the HTTP API for Runway's own video models (Gen-4.5, Gen-4 Turbo, Aleph 2.0, Act-Two) plus resold third-party models (Veo 3.1, Seedance, WAN 3.0, Hailuo, Grok Imagine).", "url": "https://www.anchorterminal.com/tools/runway", "markdownUrl": "https://www.anchorterminal.com/tools/runway.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/runway.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/runway.json", "repo": "https://github.com/runwayml/sdk-node", "license": "Apache-2.0 (SDKs)", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.dev.runwayml.com/v1", "packages": [ { "registry": "npm", "name": "@runwayml/sdk" }, { "registry": "pypi", "name": "runwayml" } ], "auth": "api-key", "authNotes": "Bearer key per project from the developer portal (dev.runway.com), sent in the Authorization header, plus a required X-Runway-Version date header (2024-11-06). The Runway Dev MCP server at dev.runwayml.com/mcp uses OAuth only.", "pricing": "usage", "pricingNotes": "Prepaid credits at $0.01 each, $10 minimum first purchase. Gen-4.5 12 credits a second ($0.12), Gen-4 Turbo 5 ($0.05), Aleph 2.0 28 (56 credit minimum), Act-Two 5, Veo 3.1 40 with audio or 20 without, Veo 3.1 Fast 15 or 10, Seedance 2.0 36 to 150 by resolution, WAN 3.0 5 to 20. ProRes output adds 5 credits a second and HDR adds 20 (https://docs.dev.runwayml.com/guides/pricing/).", "priceSummary": "$0.01 / credit", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 in docs, llms-full.txt or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 20, "npmWeekly": 55747, "pypiWeekly": 66725, "asOf": "2026-09-30" }, "docsUrl": "https://docs.dev.runwayml.com", "rateLimitsUrl": "https://docs.dev.runwayml.com/usage/tiers/", "llmsTxt": "https://docs.dev.runwayml.com/llms.txt", "openapi": "https://docs.dev.runwayml.com/openapi.json", "capabilities": [ "video.generate", "video.image-to-video", "video.edit", "video.audio", "video.extend" ], "tags": [ "official", "hosted", "closed-source", "card-required", "openapi", "llms-txt", "async-jobs", "mcp", "python", "typescript" ], "lastRelease": "2026-09-30", "graded": true, "anchor": { "graded": true, "score": 61.1, "grade": "C", "agentReady": false, "rank": 232, "ranked": true, "rankOf": 452, "categoryRank": 2, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 62, "payments": 20, "reliability": 75, "schema": 93, "security": 51, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -3, "negativeNotes": [ "2026-07-30, Gen-3 Alpha Turbo (`gen3a_turbo`) and Gen-4 Aleph (`gen4_aleph`) were removed and calls with those IDs began to fail. The changelog announced it the same day and shows no earlier notice. Runway may have emailed customers, so we deduct at the low end (https://docs.dev.runwayml.com/api-details/api_changelog/)" ], "verdict": "OpenAPI 3.1, llms.txt and Markdown copies of every docs page. Gen-3 Alpha Turbo and Gen-4 Aleph were removed on 2026-07-30 with no prior notice in the changelog.", "strengths": [ "OpenAPI 3.1, llms.txt and Markdown copies of every docs page", "One API for Runway's models and many third-party ones at published per-second prices", "Over-limit tasks queue as THROTTLED instead of returning errors", "Official Node and Python SDKs with a wait-for-output helper", "Dated changelog with 23 entries between July and September 2026" ], "weaknesses": [ "Gen-3 Alpha Turbo and Gen-4 Aleph were removed on 2026-07-30 with no prior notice in the changelog", "Prepaid credits only, $10 minimum, no free generation credits", "No idempotency key and no Retry-After guidance found", "Request fields differ per model, so bodies aren't portable between models", "No security.txt, and no training statement for customer data found" ], "agentNotes": [ "Send `X-Runway-Version: 2024-11-06` on every request or it fails", "Use the SDK's wait-for-output helper or poll GET /v1/tasks/{id} until SUCCEEDED or FAILED", "Don't retry a SAFETY.* failure unchanged. It's moderation, not an outage", "Take model IDs from the models page, not memory. Two were removed without notice on 2026-07-30", "Copy outputs to your own storage. URLs expire within 24 to 48 hours" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 4, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.1 } ], "editorialScores": { "ergonomics": 75, "maintenance": 62, "payments": 20, "reliability": 75, "schema": 93, "security": 51, "transparency": 28 }, "provenanceScore": 86 }, "connect": { "install": "pip install runwayml # or: npm i @runwayml/sdk", "http": "curl -X POST https://api.dev.runwayml.com/v1/image_to_video \\\n -H \"Authorization: Bearer $RUNWAYML_API_SECRET\" -H \"X-Runway-Version: 2024-11-06\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"gen4.5\",\"promptImage\":\"https://example.com/frame.jpg\",\"promptText\":\"timelapse, clouds moving\",\"ratio\":\"1280:720\",\"duration\":5}'", "claudeCode": "claude mcp add --transport http --scope user runway-dev-mcp https://dev.runwayml.com/mcp" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/runway" }, "area": "content", "unitPrices": [ { "item": "Gen-4.5", "unit": "video-second", "usd": 0.12, "note": "12 credits a second, 720p" }, { "item": "Gen-4 Turbo", "unit": "video-second", "usd": 0.05, "note": "5 credits a second" }, { "item": "Aleph 2.0", "unit": "video-second", "usd": 0.28, "note": "video-to-video editing, 56 credit minimum" }, { "item": "Veo 3.1 with audio", "unit": "video-second", "usd": 0.4, "note": "20 credits a second without audio" }, { "item": "Veo 3.1 Fast with audio", "unit": "video-second", "usd": 0.15, "note": "10 credits a second without audio" }, { "item": "Seedance 2.0 1080p", "unit": "video-second", "usd": 0.4 }, { "item": "WAN 3.0 1080p", "unit": "video-second", "usd": 0.2, "note": "0.05 at 480p, 0.10 at 720p" }, { "item": "Credit", "unit": "credit", "usd": 0.01 } ], "provenance": { "legalEntity": "Runway AI, Inc.", "domain": "runwayml.com", "domainRegistered": "2018-03-13", "endpointOnVendorDomain": true, "terms": "https://runway.com/terms-of-use", "privacy": "https://runway.com/privacy-policy", "statusPage": "https://status.runwayml.com", "changelog": "https://docs.dev.runwayml.com/api-details/api_changelog/", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "runwayml.com now redirects to runway.com (registered 1995-01-11). The API and docs stay on runwayml.com subdomains", "No security.txt on runwayml.com or runway.com" ], "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/runway.json", "live": { "slug": "runway", "probe": { "target": "https://api.dev.runwayml.com/v1", "method": "get", "lastAt": "2026-10-04T23:32:53.867865493Z", "lastOk": true, "lastStatus": 401, "lastMs": 261, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 261, "p95ms24h": 306, "samples24h": 272, "samples30d": 1097, "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": 267, "ok": 267 } ] }, "vendorStatus": { "page": "https://status.runwayml.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-04T23:28:01.521437067Z" }, "versions": [ { "registry": "github", "name": "runwayml/sdk-node", "version": "v4.21.0", "released": "2026-10-02", "seenAt": "2026-10-04T16:38:49.186726892Z" }, { "registry": "npm", "name": "@runwayml/sdk", "version": "4.21.0", "seenAt": "2026-10-04T16:38:48.189437384Z" }, { "registry": "pypi", "name": "runwayml", "version": "5.21.0", "released": "2026-10-02", "seenAt": "2026-10-04T16:38:48.998400569Z" } ], "githubStars": 20, "npmWeekly": 63227, "pypiWeekly": 63942, "securityTxt": { "url": "https://runwayml.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:40.498171841Z" }, "llmsTxt": { "url": "https://docs.dev.runwayml.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:12.300981778Z" }, "domain": { "domain": "runwayml.com", "registered": "2018-03-13", "source": "https://rdap.verisign.com/com/v1/domain/runwayml.com", "checkedAt": "2026-10-04T13:06:08.952500475Z" }, "pages": [ { "url": "https://docs.dev.runwayml.com/api-details/api_changelog/", "kind": "changelog", "status": 304, "checkedAt": "2026-10-04T15:43:33.181677525Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ac6aa8ccadd4" }, { "url": "https://docs.dev.runwayml.com/guides/pricing/", "kind": "pricing", "status": 304, "checkedAt": "2026-10-04T15:43:35.214864947Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2aa46084ecf5" }, { "url": "https://runway.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:47:25.881184468Z", "changedAt": "2026-10-03T15:35:25.957878863Z", "fingerprint": "0903028bf40d" }, { "url": "https://runway.com/terms-of-use", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:47:27.987627164Z", "changedAt": "2026-10-03T15:35:28.097196818Z", "fingerprint": "24b8db41b7eb" } ], "updatedAt": "2026-10-04T23:32:53.867865493Z" } }, "summary": "Runway API has a score of 61.1 (C) against Google Veo's 60.8 (C). Both do video generate. The largest gap is reliability, 30 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/google-veo-vs-runway", "json": "https://www.anchorterminal.com/compare/google-veo-vs-runway.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/google-veo-vs-runway.md", "slim": "https://www.anchorterminal.com/compare/google-veo-vs-runway.min.md" }, "markdown": "Runway API has a score of 61.1 (C) against Google Veo's 60.8 (C). Both do video generate. The largest gap is reliability, 30 points.\n\n- Google Veo: grade C, 60.8/100, rank #240 of 452. Markdown https://www.anchorterminal.com/tools/google-veo.md · JSON https://www.anchorterminal.com/api/v1/tools/google-veo.json\n- Runway API: grade C, 61.1/100, rank #232 of 452. Markdown https://www.anchorterminal.com/tools/runway.md · JSON https://www.anchorterminal.com/api/v1/tools/runway.json\n\n## Which one, for what\n\nPick Google Veo for security \u0026 auth (+27), maintenance \u0026 community (+15), transparency \u0026 trust (+23).\n\nPick Runway API for reliability (+30), schema \u0026 documentation (+22), agent ergonomics (+11).\n\n## Score by category\n\n| Category | Weight | Google Veo | Runway API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 75 | Runway API +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 71 | 93 | Runway API +22 |\n| Agent ergonomics | 13% (16.2 this run) | 64 | 75 | Runway API +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 78 | 51 | Google Veo +27 |\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 | 62 | Google Veo +15 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 80 | 57 | Google Veo +23 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **60.8 · C** | **61.1 · C** | |\n\n## Facts side by side\n\n| Fact | Google Veo | Runway API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Google | Runway |\n| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta` | `https://api.dev.runwayml.com/v1` |\n| Transports | HTTP | HTTP, Streamable 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) | Apache-2.0 (SDKs) |\n| Tools exposed | none | none |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-22 | 2026-09-30 |\n| Popularity | 4k stars | 20 stars, 56k npm/wk, 67k PyPI/wk |\n| Agent reviews | 2.5/5 (2) | 4/5 (2) |\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**Runway API.** OpenAPI 3.1, llms.txt and Markdown copies of every docs page. Gen-3 Alpha Turbo and Gen-4 Aleph were removed on 2026-07-30 with no prior notice in the changelog.\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### Runway API\n\n1. Send `X-Runway-Version: 2024-11-06` on every request or it fails\n2. Use the SDK's wait-for-output helper or poll GET /v1/tasks/{id} until SUCCEEDED or FAILED\n3. Don't retry a SAFETY.* failure unchanged. It's moderation, not an outage\n4. Take model IDs from the models page, not memory. Two were removed without notice on 2026-07-30\n5. Copy outputs to your own storage. URLs expire within 24 to 48 hours\n\n## Other comparisons with Google Veo or Runway 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 Runway API](https://www.anchorterminal.com/compare/alibaba-wan-vs-runway.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 Vidu API](https://www.anchorterminal.com/compare/google-veo-vs-vidu.md)\n- [Kling AI API vs Runway API](https://www.anchorterminal.com/compare/kling-vs-runway.md)\n- [Luma AI API vs Runway API](https://www.anchorterminal.com/compare/luma-vs-runway.md)\n- [MiniMax Video API vs Runway API](https://www.anchorterminal.com/compare/minimax-video-vs-runway.md)\n- [OpenAI Sora API vs Runway API](https://www.anchorterminal.com/compare/openai-sora-vs-runway.md)\n- [Pika API vs Runway API](https://www.anchorterminal.com/compare/pika-vs-runway.md)\n- [PixVerse API vs Runway API](https://www.anchorterminal.com/compare/pixverse-vs-runway.md)\n- [Runway API vs Vidu API](https://www.anchorterminal.com/compare/runway-vs-vidu.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-04", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "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 Runway API", "url": "" } ], "description": "Runway API has a score of 61.1 (C) against Google Veo's 60.8 (C). Both do video generate. The largest gap is reliability, 30 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Google Veo C 60.8", "Runway API C 61.1", "scores" ], "h1": "Google Veo vs Runway API", "image": "https://www.anchorterminal.com/assets/og/compare-google-veo-vs-runway.png", "path": "/compare/google-veo-vs-runway", "published": "2026-10-01", "section": "tools", "title": "Google Veo vs Runway API for AI agents, C 60.8 vs C 61.1", "toc": null, "updated": "2026-10-04", "url": "https://www.anchorterminal.com/compare/google-veo-vs-runway" }, "tokens": { "markdown": 1500, "slim": 330 }, "version": 1 }