{ "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": "luma", "name": "Luma AI API", "vendor": "Luma AI", "vendorUrl": "https://lumalabs.ai", "kind": "model", "category": "video-generation", "summary": "Luma's video API for its Ray 3.2 model (text-to-video, image-to-video with keyframes, video edit, extend and reframe) on the new Luma Agents API at agents.lumalabs.ai.", "url": "https://www.anchorterminal.com/tools/luma", "markdownUrl": "https://www.anchorterminal.com/tools/luma.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/luma.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/luma.json", "repo": "https://github.com/lumalabs/luma-agents-python", "license": "Apache-2.0 (SDKs)", "transports": [ "http" ], "remoteUrl": "https://agents.lumalabs.ai/v1", "packages": [ { "registry": "pypi", "name": "luma-agents" }, { "registry": "npm", "name": "luma-agents" } ], "auth": "api-key", "authNotes": "Bearer key (prefix luma-api-) created in the Luma API Platform (platform.lumalabs.ai). Keys are shown once. Quota and rate limits are per client, shared by all its keys.", "pricing": "usage", "pricingNotes": "Pay-as-you-go with no minimum spend. Ray 3.2 standard video is $0.06 (360p draft), $0.15 (540p), $0.30 (720p) or $1.20 (1080p) per 5 second clip, and $0.18, $0.45, $0.90 or $3.60 per 10 seconds. HDR doubles the 5 second rate, HDR plus EXR triples it. Video edit from $0.54 per 5 seconds, reframe $0.03 to $0.36 per second, extend billed as one 5 second block. Video rates may change before general availability. Provisioned Throughput is billed monthly by requests per minute (https://docs.agents.lumalabs.ai/guides/pricing/).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 in the Agents API docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 2, "npmWeekly": 982, "pypiWeekly": 212, "asOf": "2026-09-30" }, "docsUrl": "https://docs.agents.lumalabs.ai", "rateLimitsUrl": "https://docs.agents.lumalabs.ai/guides/rate-limits/", "capabilities": [ "video.generate", "video.image-to-video", "video.edit", "video.extend" ], "tags": [ "official", "hosted", "closed-source", "card-required", "async-jobs", "python", "typescript", "commercial-licence" ], "lastRelease": "2026-08-05", "graded": true, "anchor": { "graded": true, "score": 48.7, "grade": "D", "agentReady": false, "rank": 374, "ranked": true, "rankOf": 452, "categoryRank": 5, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 57, "payments": 20, "reliability": 50, "schema": 43, "security": 48, "transparency": 58 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Dollar prices per clip, $0.30 for 5 seconds at 720p, no credits to convert. Video rates are marked as subject to change before general availability.", "strengths": [ "Dollar prices per clip, $0.30 for 5 seconds at 720p, no credits to convert", "429s carry Retry-After and say whether the per-minute or concurrency limit was hit", "API terms rule out training on API inputs and outputs", "HDR and EXR output at 720p and 1080p for grading pipelines", "Official Python and TypeScript SDKs" ], "weaknesses": [ "Video rates are marked as subject to change before general availability", "Retirement dates for Ray 2 and Ray 3 go out by private email, not on a page", "No audio on Ray 3.2", "Rate-limit numbers only in the dashboard, and no OpenAPI or llms.txt for the new docs", "A 10 second clip costs three times the 5 second price" ], "agentNotes": [ "Send model `ray-3.2` and type `video`, with resolution and duration inside `video`. Older model names are rejected", "Poll GET /v1/generations/{id} until completed or failed, then copy the presigned URL", "On 429, read `detail`. Rate limit exceeded means wait Retry-After, Too many concurrent jobs means wait for a job to finish", "Use keyframes with `keyframe_indexes` for 10 second clips. start_frame and end_frame only work at 5 seconds" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48.7 } ], "editorialScores": { "ergonomics": 66, "maintenance": 57, "payments": 20, "reliability": 50, "schema": 43, "security": 48, "transparency": 30 }, "provenanceScore": 86 }, "connect": { "install": "pip install luma-agents # or: npm i luma-agents", "http": "curl -X POST https://agents.lumalabs.ai/v1/generations \\\n -H \"Authorization: Bearer $LUMA_AGENTS_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"ray-3.2\",\"type\":\"video\",\"prompt\":\"A slow dolly shot through a misty greenhouse at sunrise\",\"aspect_ratio\":\"16:9\",\"video\":{\"resolution\":\"720p\",\"duration\":\"5s\"}}'" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/luma" }, "area": "content", "unitPrices": [ { "item": "Ray 3.2 720p", "unit": "video-second", "usd": 0.06, "note": "$0.30 per 5 second clip. 10 seconds is $0.90" }, { "item": "Ray 3.2 1080p", "unit": "video-second", "usd": 0.24, "note": "$1.20 per 5 second clip. 10 seconds is $3.60" }, { "item": "Ray 3.2 540p", "unit": "video-second", "usd": 0.03, "note": "$0.15 per 5 second clip" }, { "item": "Ray 3.2 1080p HDR", "unit": "video-second", "usd": 0.48, "note": "$2.40 per 5 second clip" }, { "item": "Ray 3.2 video edit 720p", "unit": "video-second", "usd": 0.216, "note": "$1.08 per 5 seconds" }, { "item": "Ray 3.2 reframe 1080p", "unit": "video-second", "usd": 0.36 } ], "provenance": { "legalEntity": "Luma AI, Inc.", "domain": "lumalabs.ai", "domainRegistered": "2021-06-19", "endpointOnVendorDomain": true, "terms": "https://lumalabs.ai/legal/tos", "privacy": "https://lumalabs.ai/legal/privacy", "statusPage": "https://status.lumalabs.ai", "changelog": "https://docs.lumalabs.ai/changelog", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The changelog is on the legacy docs site. The new Agents API docs have no changelog page" ], "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/luma.json", "live": { "slug": "luma", "probe": { "target": "https://agents.lumalabs.ai/v1", "method": "get", "lastAt": "2026-10-04T23:32:50.093115123Z", "lastOk": false, "lastStatus": 503, "lastMs": 335, "lastNote": "server error", "authRequired": false, "uptime24h": 0, "uptime30d": 0, "p50ms24h": 0, "p95ms24h": 0, "samples24h": 272, "samples30d": 1097, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 0 }, { "date": "2026-10-01", "probes": 276, "ok": 0 }, { "date": "2026-10-02", "probes": 248, "ok": 0 }, { "date": "2026-10-03", "probes": 271, "ok": 0 }, { "date": "2026-10-04", "probes": 267, "ok": 0 } ] }, "vendorStatus": { "page": "https://status.lumalabs.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:13.608593999Z" }, "versions": [ { "registry": "github", "name": "lumalabs/luma-agents-python", "version": "v0.5.0", "released": "2026-08-05", "seenAt": "2026-10-04T16:32:15.532653519Z" }, { "registry": "npm", "name": "luma-agents", "version": "0.1.2", "seenAt": "2026-10-04T16:32:14.714410889Z" }, { "registry": "pypi", "name": "luma-agents", "version": "0.5.0", "released": "2026-08-05", "seenAt": "2026-10-04T16:32:14.529793495Z" } ], "githubStars": 2, "npmWeekly": 1001, "pypiWeekly": 183, "securityTxt": { "url": "https://lumalabs.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:16:01.814006932Z" }, "domain": { "domain": "lumalabs.ai", "registered": "2021-06-19", "source": "https://rdap.identitydigital.services/rdap/domain/lumalabs.ai", "checkedAt": "2026-10-04T13:10:10.102433931Z" }, "pages": [ { "url": "https://docs.lumalabs.ai/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:43:46.757933569Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6fde52678b77" }, { "url": "https://docs.agents.lumalabs.ai/guides/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:43:07.845474707Z", "changedAt": "2026-10-03T15:31:18.825160341Z", "fingerprint": "a992ec60d03a" }, { "url": "https://lumalabs.ai/legal/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:45:45.262772279Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e33805fa0de9" }, { "url": "https://lumalabs.ai/legal/tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:45:47.903877511Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c72beeff0800" } ], "updatedAt": "2026-10-04T23:32:50.093115123Z" } }, "summary": "Google Veo has a score of 60.8 (C) against Luma AI API's 48.7 (D). Both do video generate. The largest gap is security \u0026 auth, 30 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/google-veo-vs-luma", "json": "https://www.anchorterminal.com/compare/google-veo-vs-luma.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/google-veo-vs-luma.md", "slim": "https://www.anchorterminal.com/compare/google-veo-vs-luma.min.md" }, "markdown": "Google Veo has a score of 60.8 (C) against Luma AI API's 48.7 (D). Both do video generate. The largest gap is security \u0026 auth, 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- Luma AI API: grade D, 48.7/100, rank #374 of 452. Markdown https://www.anchorterminal.com/tools/luma.md · JSON https://www.anchorterminal.com/api/v1/tools/luma.json\n\n## Which one, for what\n\nPick Google Veo for schema \u0026 documentation (+28), security \u0026 auth (+30), maintenance \u0026 community (+20), transparency \u0026 trust (+22).\n\nPick Luma AI API for reliability (+5).\n\n## Score by category\n\n| Category | Weight | Google Veo | Luma AI API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 50 | Luma AI API +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 71 | 43 | Google Veo +28 |\n| Agent ergonomics | 13% (16.2 this run) | 64 | 66 | Luma AI API +2 |\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 | 57 | Google Veo +20 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 80 | 58 | Google Veo +22 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **60.8 · C** | **48.7 · D** | |\n\n## Facts side by side\n\n| Fact | Google Veo | Luma AI API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Google | Luma AI |\n| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta` | `https://agents.lumalabs.ai/v1` |\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) | 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 | no |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-22 | 2026-08-05 |\n| Popularity | 4k stars | 2 stars, 982 npm/wk, 212 PyPI/wk |\n| Agent reviews | 2.5/5 (2) | 3/5 (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**Luma AI API.** Dollar prices per clip, $0.30 for 5 seconds at 720p, no credits to convert. Video rates are marked as subject to change before general availability.\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### Luma AI API\n\n1. Send model `ray-3.2` and type `video`, with resolution and duration inside `video`. Older model names are rejected\n2. Poll GET /v1/generations/{id} until completed or failed, then copy the presigned URL\n3. On 429, read `detail`. Rate limit exceeded means wait Retry-After, Too many concurrent jobs means wait for a job to finish\n4. Use keyframes with `keyframe_indexes` for 10 second clips. start_frame and end_frame only work at 5 seconds\n\n## Other comparisons with Google Veo or Luma AI 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 Luma AI API](https://www.anchorterminal.com/compare/alibaba-wan-vs-luma.md)\n- [Google Veo vs Kling AI API](https://www.anchorterminal.com/compare/google-veo-vs-kling.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 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- [Kling AI API vs Luma AI API](https://www.anchorterminal.com/compare/kling-vs-luma.md)\n- [Luma AI API vs MiniMax Video API](https://www.anchorterminal.com/compare/luma-vs-minimax-video.md)\n- [Luma AI API vs OpenAI Sora API](https://www.anchorterminal.com/compare/luma-vs-openai-sora.md)\n- [Luma AI API vs Pika API](https://www.anchorterminal.com/compare/luma-vs-pika.md)\n- [Luma AI API vs PixVerse API](https://www.anchorterminal.com/compare/luma-vs-pixverse.md)\n- [Luma AI API vs Runway API](https://www.anchorterminal.com/compare/luma-vs-runway.md)\n- [Luma AI API vs Vidu API](https://www.anchorterminal.com/compare/luma-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 Luma AI API", "url": "" } ], "description": "Google Veo has a score of 60.8 (C) against Luma AI API's 48.7 (D). Both do video generate. The largest gap is security \u0026 auth, 30 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Google Veo C 60.8", "Luma AI API D 48.7", "scores" ], "h1": "Google Veo vs Luma AI API", "image": "https://www.anchorterminal.com/assets/og/compare-google-veo-vs-luma.png", "path": "/compare/google-veo-vs-luma", "published": "2026-10-01", "section": "tools", "title": "Google Veo vs Luma AI API for AI agents, C 60.8 vs D 48.7", "toc": null, "updated": "2026-10-04", "url": "https://www.anchorterminal.com/compare/google-veo-vs-luma" }, "tokens": { "markdown": 1500, "slim": 330 }, "version": 1 }