{ "data": { "a": { "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": 48.2, "grade": "D", "agentReady": false, "rank": 728, "ranked": true, "rankOf": 842, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 57, "payments": 20, "reliability": 50, "schema": 43, "security": 48, "transparency": 53 }, "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.", "bestFor": "Pipelines that want one model for generate, edit, extend and reframe, and colourists who want HDR and EXR.", "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": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48.2 } ], "editorialScores": { "ergonomics": 66, "maintenance": 57, "payments": 20, "reliability": 50, "schema": 43, "security": 48, "transparency": 30 }, "provenanceScore": 75 }, "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": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/luma.json", "live": { "slug": "luma", "probe": { "target": "https://agents.lumalabs.ai/v1", "method": "get", "lastAt": "2026-10-09T09:26:55.640892062Z", "lastOk": false, "lastStatus": 503, "lastMs": 436, "lastNote": "server error", "authRequired": false, "uptime24h": 0, "uptime30d": 0, "p50ms24h": 0, "p95ms24h": 0, "samples24h": 261, "samples30d": 2287, "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": 272, "ok": 0 }, { "date": "2026-10-05", "probes": 272, "ok": 0 }, { "date": "2026-10-06", "probes": 272, "ok": 0 }, { "date": "2026-10-07", "probes": 272, "ok": 0 }, { "date": "2026-10-08", "probes": 268, "ok": 0 }, { "date": "2026-10-09", "probes": 101, "ok": 0 } ] }, "vendorStatus": { "page": "https://status.lumalabs.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:08.311194171Z" }, "versions": [ { "registry": "github", "name": "lumalabs/luma-agents-python", "version": "v0.5.0", "released": "2026-08-05", "seenAt": "2026-10-08T16:19:31.253013966Z" }, { "registry": "npm", "name": "luma-agents", "version": "0.1.2", "seenAt": "2026-10-08T16:19:30.365033086Z" }, { "registry": "pypi", "name": "luma-agents", "version": "0.5.0", "released": "2026-08-05", "seenAt": "2026-10-08T16:19:30.158966871Z" } ], "githubStars": 2, "npmWeekly": 1157, "pypiWeekly": 143, "securityTxt": { "url": "https://lumalabs.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:36.59619403Z" }, "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": "2026-10-08T18:19:00.231563374Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6fde52678b77" }, { "url": "https://docs.agents.lumalabs.ai/guides/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:18:07.947600769Z", "changedAt": "2026-10-03T15:31:18.825160341Z", "fingerprint": "a992ec60d03a" }, { "url": "https://lumalabs.ai/legal/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:21:46.129500193Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e33805fa0de9" }, { "url": "https://lumalabs.ai/legal/tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:21:48.741684775Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c72beeff0800" } ], "updatedAt": "2026-10-09T09:26:55.640892062Z" } }, "answer": "Replicate video models scores 62.1 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 5 of 7 scored categories. Luma AI API leads on security \u0026 auth and maintenance \u0026 community.", "b": { "slug": "replicate-video", "name": "Replicate video models", "vendor": "Replicate (Cloudflare)", "vendorUrl": "https://replicate.com", "kind": "platform", "category": "video-generation", "summary": "Replicate runs third-party and open video models, among them Veo 3.1, Kling 3.0, Runway Gen-4.5, Seedance 2.0 and Wan, through one predictions API with Python and JavaScript clients and an MCP server.", "url": "https://www.anchorterminal.com/tools/replicate-video", "markdownUrl": "https://www.anchorterminal.com/tools/replicate-video.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/replicate-video.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/replicate-video.json", "repo": "https://github.com/replicate/replicate-python", "license": "Proprietary service under Replicate's terms of service. The Python and JavaScript clients and `replicate-mcp` are Apache-2.0, and each model carries its own licence", "transports": [ "http", "sse", "stdio" ], "remoteUrl": "https://api.replicate.com/v1", "packages": [ { "registry": "npm", "name": "replicate" }, { "registry": "pypi", "name": "replicate" }, { "registry": "npm", "name": "replicate-mcp" } ], "auth": "api-key", "authNotes": "Self-serve. A person signs up in a browser and creates a bearer API token (40 characters, prefix `r8_`) at replicate.com/account/api-tokens. An account can hold several named tokens and disable any of them. Tokens have no scopes or expiry. The hosted MCP server at https://mcp.replicate.com/sse takes the token in a browser flow, and the local `replicate-mcp` package reads `REPLICATE_API_TOKEN`.", "pricing": "usage", "pricingNotes": "Pay as you go from prepaid credit (valid one year, not refundable) or monthly in arrears. Official video models bill per second of output video, with tiers by resolution, mode and audio shown on each model page. Community models bill per second of hardware time. Failed runs aren't charged, and a cancelled official-model run may be. The try-for-free collection lets a new account run `minimax/video-01` a limited number of times before buying credit (https://replicate.com/collections/try-for-free).", "priceSummary": "Pay per use", "where": "both", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the HTTP API reference or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 917, "npmWeekly": 704939, "pypiWeekly": 356876, "asOf": "2026-10-08" }, "docsUrl": "https://replicate.com/docs", "llmsTxt": "https://replicate.com/docs/llms.txt", "openapi": "https://api.replicate.com/openapi.json", "capabilities": [ "video.generate", "video.image-to-video", "video.audio", "video.edit", "video.extend" ], "tags": [ "hosted", "model-platform", "mcp", "llms-txt", "openapi", "python", "typescript", "async-jobs", "webhooks", "open-weights", "status-page" ], "lastRelease": "2026-09-15", "graded": true, "anchor": { "graded": true, "score": 62.1, "grade": "B", "agentReady": false, "rank": 402, "ranked": true, "rankOf": 842, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 72, "maintenance": 48, "payments": 30, "reliability": 75, "schema": 86, "security": 41, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "One bearer token reaches more than twenty official video models at published per-second prices, each with a typed input schema, and failed runs aren't charged. Tokens have no scopes or spend cap, no SLA is published, and the terms let Replicate withdraw any model without notice.", "bestFor": "An agent that wants several vendors' video models behind one token and one request shape, or open models such as Wan next to closed ones.", "strengths": [ "Official video models bill per second of output at prices shown on each model page, from $0.10 for Wan 2.7 to $0.40 for Veo 3.1 with audio", "Every model publishes a typed input schema, and the four we read require only `prompt`", "Failed runs aren't charged, and a `Cancel-After` header ends a job after a set time", "API inputs, outputs, files and logs are deleted after one hour by default", "Public OpenAPI document with 36 operations, llms.txt and Markdown docs pages" ], "weaknesses": [ "Tokens have no scopes, expiry or spend cap, and any token can run every model and delete account resources", "No SLA is published and the terms disclaim service levels. Replicate may withdraw a model without notice", "No idempotency key on prediction creates, and a 429 carries a wait time in the body with no `Retry-After` header documented", "The public changelog's newest entry is 21 April 2026, and the stable npm and PyPI clients date from November and May 2025", "No security.txt, and no certification is named on the pages we read" ], "agentNotes": [ "Call official models at `POST /v1/models/{owner}/{name}/predictions` with no version, then poll `GET /v1/predictions/{id}` or pass `webhook`. Video jobs usually outlast the 60-second `Prefer: wait` window", "Download the output file within the hour. API predictions lose inputs, outputs and logs after 60 minutes", "Read the model's price tiers before setting `resolution`, `mode` or `generate_audio`. Kling 3.0 runs from $0.168 to $0.42 a second and Veo 3.1 doubles with audio", "Send `Cancel-After` on every create. There is no idempotency key, so a blind retry is a second paid video", "Keep credit above $20 or enable auto-reload. Low balances are throttled, and granted credit with no card is held to 6 requests a minute" ], "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": 62.1 } ], "editorialScores": { "ergonomics": 72, "maintenance": 48, "payments": 30, "reliability": 75, "schema": 86, "security": 41, "transparency": 56 }, "provenanceScore": 87 }, "connect": { "http": "curl -X POST https://api.replicate.com/v1/models/google/veo-3.1/predictions \\\n -H \"Authorization: Bearer $REPLICATE_API_TOKEN\" -H \"Content-Type: application/json\" \\\n -d '{\"input\":{\"prompt\":\"a red fox running through fresh snow\",\"duration\":4,\"resolution\":\"720p\"}}'", "claudeCode": "claude mcp add replicate https://mcp.replicate.com/sse --transport sse --scope user", "config": { "mcpServers": { "replicate": { "args": [ "-y", "replicate-mcp@latest" ], "command": "npx", "env": { "REPLICATE_API_TOKEN": "${REPLICATE_API_TOKEN}" } } } } }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/replicate-video" }, "sameCompany": [ "replicate-deploy", "replicate-image", "replicate-musicgen" ], "area": "content", "unitPrices": [ { "item": "Veo 3.1 with audio", "unit": "video-second", "usd": 0.4, "note": "$0.20 without audio" }, { "item": "Veo 3.1 Fast with audio", "unit": "video-second", "usd": 0.15, "note": "$0.10 without audio" }, { "item": "Kling 3.0 pro (1080p)", "unit": "video-second", "usd": 0.224, "note": "$0.336 with audio, standard 720p $0.168, 4K $0.42" }, { "item": "Runway Gen-4.5", "unit": "video-second", "usd": 0.12 }, { "item": "Seedance 2.0 720p", "unit": "video-second", "usd": 0.18, "note": "without video input. 480p $0.08, 1080p $0.45, 4K $1.00, more with video input" }, { "item": "Wan 2.7 text-to-video", "unit": "video-second", "usd": 0.1 }, { "item": "Wan 3.0 1080p", "unit": "video-second", "usd": 0.1, "note": "billing table on 8 October 2026 during a promotion. README lists $0.20" }, { "item": "Hailuo 2.3 768p", "unit": "video-second", "usd": 0.0467, "note": "$0.28 per 6-second video, $0.56 for 10 seconds, $0.49 for 6 seconds at 1080p" } ], "provenance": { "legalEntity": "Replicate, LLC", "domain": "replicate.com", "domainRegistered": "1998-05-26", "domainNote": "replicate.com was registered in 1998, long before Replicate the company existed.", "endpointOnVendorDomain": true, "terms": "https://replicate.com/terms", "privacy": "https://replicate.com/privacy", "statusPage": "https://replicatestatus.com", "changelog": "https://replicate.com/changelog", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The terms of service (last update 1 April 2026) name Replicate, LLC, 101 Townsend St, San Francisco, as the contracting party and govern use of the API and the models.", "The privacy policy was last updated on 1 April 2026.", "replicatestatus.com redirects to https://www.cloudflarestatus.com/services?search=replicate, where Replicate is one component of Cloudflare's status page.", "https://replicate.com/.well-known/security.txt returned 404 on 8 October 2026.", "RDAP gives a registration date of 1998-05-26 for replicate.com.", "Replicate's image and music models and its deployments are listed separately." ], "score": 87 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/replicate-video.json", "live": { "slug": "replicate-video", "probe": { "target": "https://api.replicate.com/v1", "method": "get", "lastAt": "2026-10-09T09:27:02.816328211Z", "lastOk": true, "lastStatus": 401, "lastMs": 109, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 109, "p95ms24h": 269, "samples24h": 20, "samples30d": 20, "days": [ { "date": "2026-10-09", "probes": 20, "ok": 20 } ] }, "updatedAt": "2026-10-09T09:27:02.816328211Z" } }, "facts": [ { "a": "Model API", "b": "Model platform", "name": "Kind" }, { "a": "Luma AI", "b": "Replicate (Cloudflare)", "name": "Vendor" }, { "a": "https://agents.lumalabs.ai/v1", "b": "https://api.replicate.com/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, SSE (legacy), stdio", "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 Replicate's terms of service. The Python and JavaScript clients and `replicate-mcp` are Apache-2.0, and each model carries its own licence", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-08-05", "b": "2026-09-15", "name": "Last release" }, { "a": "2026-05-14", "b": "2026-04-01", "name": "Terms last updated" }, { "a": "2026-04-20", "b": "2026-04-01", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "2 stars, 982 npm/wk, 212 PyPI/wk", "b": "917 stars, 705k npm/wk, 357k PyPI/wk", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Replicate video models scores 62.1 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 5 of 7 scored categories. Luma AI API leads on security \u0026 auth and maintenance \u0026 community.", "question": "Which is better for AI agents, Luma AI API or Replicate video models?" }, { "answer": "Yes. Luma AI API has a hosted endpoint at https://agents.lumalabs.ai/v1 and Replicate video models at https://api.replicate.com/v1.", "question": "Can an agent call Luma AI API and Replicate video models without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 48 against 41", "Maintenance \u0026 community, 57 against 48" ], "also": null, "goodFor": "Pipelines that want one model for generate, edit, extend and reframe, and colourists who want HDR and EXR.", "slug": "luma", "watchFor": "Video rates are marked as subject to change before general availability" }, { "aheadOn": [ "Reliability, 75 against 50", "Schema \u0026 documentation, 86 against 43", "Agent ergonomics, 72 against 66", "Payments \u0026 pricing, 30 against 20", "Transparency \u0026 trust, 72 against 53" ], "also": [ "Runs on your own machine" ], "goodFor": "An agent that wants several vendors' video models behind one token and one request shape, or open models such as Wan next to closed ones.", "slug": "replicate-video", "watchFor": "Tokens have no scopes, expiry or spend cap, and any token can run every model and delete account resources" } ], "job": { "capability": "video.generate", "name": "Video generate" }, "others": [ { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-luma.json", "title": "Alibaba Wan (Model Studio) vs Luma AI API", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-replicate-video.json", "title": "Alibaba Wan (Model Studio) vs Replicate video models", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-luma.json", "title": "fal video models vs Luma AI API", "url": "https://www.anchorterminal.com/compare/fal-video-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-replicate-video.json", "title": "fal video models vs Replicate video models", "url": "https://www.anchorterminal.com/compare/fal-video-vs-replicate-video" }, { "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-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/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-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/kling-vs-luma.json", "title": "Kling AI API vs Luma AI API", "url": "https://www.anchorterminal.com/compare/kling-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/kling-vs-replicate-video.json", "title": "Kling AI API vs Replicate video models", "url": "https://www.anchorterminal.com/compare/kling-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/luma-vs-minimax-video.json", "title": "Luma AI API vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/luma-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/luma-vs-openai-sora.json", "title": "Luma AI API vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/luma-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/luma-vs-pika.json", "title": "Luma AI API vs Pika API", "url": "https://www.anchorterminal.com/compare/luma-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/luma-vs-pixverse.json", "title": "Luma AI API vs PixVerse API", "url": "https://www.anchorterminal.com/compare/luma-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/luma-vs-runway.json", "title": "Luma AI API vs Runway API", "url": "https://www.anchorterminal.com/compare/luma-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/luma-vs-vidu.json", "title": "Luma AI API vs Vidu API", "url": "https://www.anchorterminal.com/compare/luma-vs-vidu" }, { "json": "https://www.anchorterminal.com/compare/minimax-video-vs-replicate-video.json", "title": "MiniMax Video API vs Replicate video models", "url": "https://www.anchorterminal.com/compare/minimax-video-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/openai-sora-vs-replicate-video.json", "title": "OpenAI Sora API vs Replicate video models", "url": "https://www.anchorterminal.com/compare/openai-sora-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/pika-vs-replicate-video.json", "title": "Pika API vs Replicate video models", "url": "https://www.anchorterminal.com/compare/pika-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/pixverse-vs-replicate-video.json", "title": "PixVerse API vs Replicate video models", "url": "https://www.anchorterminal.com/compare/pixverse-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/replicate-video-vs-runway.json", "title": "Replicate video models vs Runway API", "url": "https://www.anchorterminal.com/compare/replicate-video-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/replicate-video-vs-vidu.json", "title": "Replicate video models vs Vidu API", "url": "https://www.anchorterminal.com/compare/replicate-video-vs-vidu" } ], "scores": [ { "by": 25, "edge": "replicate-video", "key": "reliability", "luma": 50, "name": "Reliability", "replicate-video": 75, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 43, "edge": "replicate-video", "key": "schema", "luma": 43, "name": "Schema \u0026 documentation", "replicate-video": 86, "weight": 13 }, { "by": 6, "edge": "replicate-video", "key": "ergonomics", "luma": 66, "name": "Agent ergonomics", "replicate-video": 72, "weight": 13 }, { "by": 7, "edge": "luma", "key": "security", "luma": 48, "name": "Security \u0026 auth", "replicate-video": 41, "weight": 14 }, { "by": 10, "edge": "replicate-video", "key": "payments", "luma": 20, "name": "Payments \u0026 pricing", "replicate-video": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 9, "edge": "luma", "key": "maintenance", "luma": 57, "name": "Maintenance \u0026 community", "replicate-video": 48, "weight": 7 }, { "by": 19, "edge": "replicate-video", "key": "transparency", "luma": 53, "name": "Transparency \u0026 trust", "replicate-video": 72, "weight": 7 } ], "summary": "Replicate video models scores 62.1 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 5 of 7 scored categories. Luma AI API leads on security \u0026 auth and maintenance \u0026 community. Both do video generate.", "verdicts": { "luma": "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.", "replicate-video": "One bearer token reaches more than twenty official video models at published per-second prices, each with a typed input schema, and failed runs aren't charged. Tokens have no scopes or spend cap, no SLA is published, and the terms let Replicate withdraw any model without notice." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/luma-vs-replicate-video", "json": "https://www.anchorterminal.com/compare/luma-vs-replicate-video.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/luma-vs-replicate-video.md", "slim": "https://www.anchorterminal.com/compare/luma-vs-replicate-video.min.md" }, "markdown": "Replicate video models scores 62.1 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 5 of 7 scored categories. Luma AI API leads on security \u0026 auth and maintenance \u0026 community. Both do video generate.\n\n- Luma AI API: grade D, 48.2/100, rank #728 of 842. Markdown https://www.anchorterminal.com/tools/luma.md · JSON https://www.anchorterminal.com/api/v1/tools/luma.json\n- Replicate video models: grade B, 62.1/100, rank #402 of 842. Markdown https://www.anchorterminal.com/tools/replicate-video.md · JSON https://www.anchorterminal.com/api/v1/tools/replicate-video.json\n\n## Which one, for what\n\n### Luma AI API (D)\n\nGood for: Pipelines that want one model for generate, edit, extend and reframe, and colourists who want HDR and EXR.\n\nAhead on:\n- Security \u0026 auth, 48 against 41\n- Maintenance \u0026 community, 57 against 48\n\nWatch for: Video rates are marked as subject to change before general availability\n\n### Replicate video models (B)\n\nGood for: An agent that wants several vendors' video models behind one token and one request shape, or open models such as Wan next to closed ones.\n\nAhead on:\n- Reliability, 75 against 50\n- Schema \u0026 documentation, 86 against 43\n- Agent ergonomics, 72 against 66\n- Payments \u0026 pricing, 30 against 20\n- Transparency \u0026 trust, 72 against 53\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Tokens have no scopes, expiry or spend cap, and any token can run every model and delete account resources\n\n\n## Score by category\n\n| Category | Weight | Luma AI API | Replicate video models | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 75 | Replicate video models +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 43 | 86 | Replicate video models +43 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 72 | Replicate video models +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 48 | 41 | Luma AI API +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 30 | Replicate video models +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 57 | 48 | Luma AI API +9 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 53 | 72 | Replicate video models +19 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **48.2 · D** | **62.1 · B** | |\n\n## Facts side by side\n\n| Fact | Luma AI API | Replicate video models |\n| --- | --- | --- |\n| Kind | Model API | Model platform |\n| Vendor | Luma AI | Replicate (Cloudflare) |\n| Hosted endpoint | `https://agents.lumalabs.ai/v1` | `https://api.replicate.com/v1` |\n| Transports | HTTP | HTTP, SSE (legacy), stdio |\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 Replicate's terms of service. The Python and JavaScript clients and `replicate-mcp` are Apache-2.0, and each model carries its own licence |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-08-05 | 2026-09-15 |\n| Terms last updated | 2026-05-14 | 2026-04-01 |\n| Privacy policy last updated | 2026-04-20 | 2026-04-01 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | yes | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 2 stars, 982 npm/wk, 212 PyPI/wk | 917 stars, 705k npm/wk, 357k PyPI/wk |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\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**Replicate video models.** One bearer token reaches more than twenty official video models at published per-second prices, each with a typed input schema, and failed runs aren't charged. Tokens have no scopes or spend cap, no SLA is published, and the terms let Replicate withdraw any model without notice.\n\n## Before you call either\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### Replicate video models\n\n1. Call official models at `POST /v1/models/{owner}/{name}/predictions` with no version, then poll `GET /v1/predictions/{id}` or pass `webhook`. Video jobs usually outlast the 60-second `Prefer: wait` window\n2. Download the output file within the hour. API predictions lose inputs, outputs and logs after 60 minutes\n3. Read the model's price tiers before setting `resolution`, `mode` or `generate_audio`. Kling 3.0 runs from $0.168 to $0.42 a second and Veo 3.1 doubles with audio\n4. Send `Cancel-After` on every create. There is no idempotency key, so a blind retry is a second paid video\n5. Keep credit above $20 or enable auto-reload. Low balances are throttled, and granted credit with no card is held to 6 requests a minute\n\n## Questions\n\n### Which is better for AI agents, Luma AI API or Replicate video models?\n\nReplicate video models scores 62.1 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 5 of 7 scored categories. Luma AI API leads on security \u0026 auth and maintenance \u0026 community.\n\n### Can an agent call Luma AI API and Replicate video models without installing anything?\n\nYes. Luma AI API has a hosted endpoint at https://agents.lumalabs.ai/v1 and Replicate video models at https://api.replicate.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/luma-vs-replicate-video.json, and with the fewest tokens: https://www.anchorterminal.com/compare/luma-vs-replicate-video.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"luma\", \"b\": \"replicate-video\"}`. From a terminal: `anchor compare luma replicate-video`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/luma.json and https://www.anchorterminal.com/api/v1/tools/replicate-video.json\n\n## Other comparisons with Luma AI API or Replicate video models\n\n- [Alibaba Wan (Model Studio) vs Luma AI API](https://www.anchorterminal.com/compare/alibaba-wan-vs-luma.md)\n- [Alibaba Wan (Model Studio) vs Replicate video models](https://www.anchorterminal.com/compare/alibaba-wan-vs-replicate-video.md)\n- [fal video models vs Luma AI API](https://www.anchorterminal.com/compare/fal-video-vs-luma.md)\n- [fal video models vs Replicate video models](https://www.anchorterminal.com/compare/fal-video-vs-replicate-video.md)\n- [Google Veo vs Luma AI API](https://www.anchorterminal.com/compare/google-veo-vs-luma.md)\n- [Google Veo vs Replicate video models](https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.md)\n- [Higgsfield API vs Luma AI API](https://www.anchorterminal.com/compare/higgsfield-vs-luma.md)\n- [Higgsfield API vs Replicate video models](https://www.anchorterminal.com/compare/higgsfield-vs-replicate-video.md)\n- [Kling AI API vs Luma AI API](https://www.anchorterminal.com/compare/kling-vs-luma.md)\n- [Kling AI API vs Replicate video models](https://www.anchorterminal.com/compare/kling-vs-replicate-video.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- [MiniMax Video API vs Replicate video models](https://www.anchorterminal.com/compare/minimax-video-vs-replicate-video.md)\n- [OpenAI Sora API vs Replicate video models](https://www.anchorterminal.com/compare/openai-sora-vs-replicate-video.md)\n- [Pika API vs Replicate video models](https://www.anchorterminal.com/compare/pika-vs-replicate-video.md)\n- [PixVerse API vs Replicate video models](https://www.anchorterminal.com/compare/pixverse-vs-replicate-video.md)\n- [Replicate video models vs Runway API](https://www.anchorterminal.com/compare/replicate-video-vs-runway.md)\n- [Replicate video models vs Vidu API](https://www.anchorterminal.com/compare/replicate-video-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": "Luma AI API vs Replicate video models", "url": "" } ], "description": "Replicate video models scores 62.1 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 5 of 7 scored categories. Luma AI API leads on security \u0026 auth and maintenance \u0026 community. Both do video generate. Category scores, facts, verdicts and agent notes side by…", "facts": [ "Luma AI API D 48.2", "Replicate video models B 62.1", "scores" ], "h1": "Luma AI API vs Replicate video models", "image": "https://www.anchorterminal.com/assets/og/compare-luma-vs-replicate-video.png", "path": "/compare/luma-vs-replicate-video", "published": "2026-10-01", "section": "tools", "title": "Luma AI API vs Replicate video models for AI agents, D 48.2 vs B 62.1", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/luma-vs-replicate-video" }, "tokens": { "markdown": 2350, "slim": 730 }, "version": 1 }