{
  "data": {
    "a": {
      "slug": "fal-video",
      "name": "fal video models",
      "vendor": "fal (Features \u0026 Labels, Inc.)",
      "vendorUrl": "https://fal.ai",
      "kind": "platform",
      "category": "video-generation",
      "summary": "fal hosts third-party and open-weights video models, including Seedance, Kling, Veo, MiniMax and Wan, behind one queue API, one key and a hosted MCP server.",
      "url": "https://www.anchorterminal.com/tools/fal-video",
      "markdownUrl": "https://www.anchorterminal.com/tools/fal-video.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fal-video.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fal-video.json",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://queue.fal.run",
      "packages": [
        {
          "registry": "npm",
          "name": "@fal-ai/client"
        },
        {
          "registry": "pypi",
          "name": "fal-client"
        }
      ],
      "auth": "mixed",
      "authNotes": "Self-serve API key from the fal dashboard, sent as `Authorization: Key $FAL_KEY`, with an API or ADMIN scope. The MCP relay uses OAuth with browser sign-in and no key. No partner or sales approval is needed for the Model APIs.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credit, priced per model, with no free tier or sandbox. Most video models bill per second of output by resolution or audio, and Seedance bills per 1,000 tokens. 5xx failures and queue time aren't billed. Purchased credits expire after 365 days (https://fal.ai/pricing, https://fal.ai/docs/documentation/model-apis/pricing.md).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the pricing page or the terms (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 187,
        "npmWeekly": 1929970,
        "pypiWeekly": 738438,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://fal.ai/docs",
      "llmsTxt": "https://fal.ai/docs/llms.txt",
      "openapi": "https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/kling-video/v3/pro/text-to-video",
      "capabilities": [
        "video.generate",
        "video.image-to-video",
        "video.edit",
        "video.audio"
      ],
      "tags": [
        "hosted",
        "model-platform",
        "async-jobs",
        "webhooks",
        "mcp",
        "oauth",
        "card-required",
        "python",
        "typescript",
        "llms-txt",
        "openapi",
        "status-page"
      ],
      "lastRelease": "2026-09-21",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 68.9,
        "grade": "B",
        "agentReady": false,
        "rank": 192,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 1,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 81,
          "payments": 20,
          "reliability": 77,
          "schema": 89,
          "security": 63,
          "transparency": 60
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "One key and one queue API reach 137 active text-to-video endpoints, each with a published price, an OpenAPI document and an llms.txt. Billing units, duration formats and audio pricing differ per model, there is no free tier, and a person must sign up in a browser and buy credit.",
        "bestFor": "An agent or team that wants to compare or switch between Seedance, Kling, Veo, MiniMax, Wan and open-weights video models with one key and one queue contract.",
        "strengths": [
          "159 text-to-video endpoints in the catalogue API on 8 October 2026, 137 active, plus image-to-video and video-to-video categories of more than 100 each",
          "Each model has a per-endpoint OpenAPI document and an llms.txt with schema, defaults, examples and price",
          "Queue with status, cancel, webhooks, server-side retries up to 10 times and backup domains `falrun.com` and `queue.falrun.com`",
          "5xx failures and queue time aren't billed, and typed errors carry `error_type` and an `X-Fal-Error-Type` header",
          "API Services terms say client content isn't used for training, and `X-Fal-Store-IO: 0` stops payload storage"
        ],
        "weaknesses": [
          "Billing differs per model (per second by resolution, per second by audio, per 1,000 tokens), and Kling v3 Pro shows $0.14 on the pricing page against $0.112 or $0.168 on its model page",
          "No standing free tier, no machine payment protocol, and sign-up and credit purchase need a person in a browser",
          "22 text-to-video endpoints, Sora 2 and Veo 3 among them, are marked deprecated in the catalogue with no removal date or changelog entry",
          "No idempotency key, so a repeated submit starts a second billable job",
          "No security.txt, and the trust centre with the SOC 2 material and subprocessor list renders only in a browser",
          "The terms of service bar scripts that integrate with the services without written authorisation, and bar robots and data gathering"
        ],
        "agentNotes": [
          "Submit to `queue.fal.run`, keep the `request_id`, then poll `status_url` or set `fal_webhook`. Never resubmit to check progress, because each submit is a new billable job",
          "Read `https://fal.ai/models/\u003cendpoint-id\u003e/llms.txt` before a call. `duration` is the string `\"5\"` on Kling, `\"8s\"` on Veo 3.1 and an integer on Wan 3.0",
          "Set `generate_audio` on purpose. It defaults to true and raises the Kling v3 Pro price from $0.112 to $0.168 a second and Veo 3.1 from $0.20 to $0.40",
          "Check `metadata.status` in `https://api.fal.ai/v1/models` before pinning an endpoint. Deprecated endpoints carry no removal date",
          "Use an API-scope key, never an ADMIN key. A new account runs 2 requests at once, so long video jobs queue behind each other",
          "The MCP relay has no server-side approval gate. Call `get_pricing` and get the owner's approval before `submit_job`"
        ],
        "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": 68.9
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 81,
          "payments": 20,
          "reliability": 77,
          "schema": 89,
          "security": 63,
          "transparency": 53
        },
        "provenanceScore": 66
      },
      "connect": {
        "install": "pip install fal-client   # or: npm install --save @fal-ai/client",
        "http": "curl -X POST https://queue.fal.run/fal-ai/kling-video/v3/pro/text-to-video -H \"Authorization: Key $FAL_KEY\" \\\n  -H \"Content-Type: application/json\" -d '{\"prompt\":\"ocean waves at sunset, slow dolly in\",\"duration\":\"5\",\"generate_audio\":false}'",
        "claudeCode": "claude mcp add --transport http --scope user fal https://mcp.fal.ai/mcp-relay"
      },
      "letme": {
        "capability": "https://letme.dev/video.generate",
        "tool": "https://letme.dev/fal-video"
      },
      "sameCompany": [
        "fal-image",
        "fal-music"
      ],
      "area": "content",
      "unitPrices": [
        {
          "item": "Kling v3 Pro with audio",
          "unit": "video-second",
          "usd": 0.168,
          "note": "$0.112 without audio, $0.196 with voice control"
        },
        {
          "item": "Kling v3 Standard with audio",
          "unit": "video-second",
          "usd": 0.126,
          "note": "$0.084 without audio"
        },
        {
          "item": "Veo 3.1 with audio, 720p or 1080p",
          "unit": "video-second",
          "usd": 0.4,
          "note": "$0.20 without audio, $0.60 at 4K with audio"
        },
        {
          "item": "Veo 3.1 Fast with audio, 720p or 1080p",
          "unit": "video-second",
          "usd": 0.15,
          "note": "$0.10 without audio"
        },
        {
          "item": "Seedance 2.5 720p",
          "unit": "video-second",
          "usd": 0.473,
          "note": "approximate, billed at $0.0214 per 1,000 tokens. About $0.2205 at 480p and $1.164 at 1080p"
        },
        {
          "item": "Wan 3.0 720p",
          "unit": "video-second",
          "usd": 0.1,
          "note": "$0.05 at 480p, $0.20 at 1080p"
        },
        {
          "item": "MiniMax H3 Max 768p",
          "unit": "video-second",
          "usd": 0.08,
          "note": "$0.048 on promotion until 15 October 2026. $0.05 at 480p and $0.16 at 1080p after"
        },
        {
          "item": "LTX 2.5 Fast 720p",
          "unit": "video-second",
          "usd": 0.09,
          "note": "audio included, $0.30 at 4K"
        },
        {
          "item": "Grok Imagine Video 1.5 720p",
          "unit": "video-second",
          "usd": 0.14,
          "note": "$0.08 at 480p, $0.25 at 1080p"
        }
      ],
      "provenance": {
        "legalEntity": "Features \u0026 Labels, Inc.",
        "domain": "fal.ai",
        "domainRegistered": "2020-11-13",
        "endpointOnVendorDomain": false,
        "terms": "https://fal.ai/legal/terms-of-service",
        "privacy": "https://fal.ai/legal/privacy-policy",
        "statusPage": "https://status.fal.ai",
        "changelog": "https://fal.ai/docs/changelog",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The API runs on fal.run and queue.fal.run, a separate domain from fal.ai, with backup domains falrun.com and queue.falrun.com. The catalogue and platform APIs are on api.fal.ai and the MCP relay on mcp.fal.ai.",
          "Legal entity and the address 2261 Market St, Suite 10467, San Francisco, CA 94114 from the terms of service, last updated 8 September 2026.",
          "The terms of service incorporate the API Services Supplemental Terms (https://fal.ai/legal/api-services) and the Data Processing Addendum of 31 July 2026 (https://fal.ai/legal/data-processing-addendum).",
          "The privacy policy, last updated 22 July 2026, says fal is a service provider for enterprise customers under contract.",
          "https://fal.ai/.well-known/security.txt returned 404 on 8 October 2026.",
          "RDAP for fal.ai gives a registration date of 2020-11-13."
        ],
        "score": 66
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/fal-video.json",
      "live": {
        "slug": "fal-video",
        "probe": {
          "target": "https://queue.fal.run",
          "method": "get",
          "lastAt": "2026-10-09T10:42:43.194130915Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 103,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 135,
          "p95ms24h": 240,
          "samples24h": 33,
          "samples30d": 33,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 33,
              "ok": 33
            }
          ]
        },
        "updatedAt": "2026-10-09T10:42:43.194130915Z"
      }
    },
    "answer": "fal video models scores 68.9 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 6 of 7 scored categories.",
    "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": 48.2,
        "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": "2026-10-09T10:42:48.115710511Z",
          "lastOk": false,
          "lastStatus": 503,
          "lastMs": 388,
          "lastNote": "server error",
          "authRequired": false,
          "uptime24h": 0,
          "uptime30d": 0,
          "p50ms24h": 0,
          "p95ms24h": 0,
          "samples24h": 260,
          "samples30d": 2300,
          "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": 114,
              "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": "2026-10-09T10:42:48.115710511Z"
      }
    },
    "facts": [
      {
        "a": "Model platform",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "fal (Features \u0026 Labels, Inc.)",
        "b": "Luma AI",
        "name": "Vendor"
      },
      {
        "a": "https://queue.fal.run",
        "b": "https://agents.lumalabs.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "none",
        "b": "Apache-2.0 (SDKs)",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-21",
        "b": "2026-08-05",
        "name": "Last release"
      },
      {
        "a": "2026-09-08",
        "b": "2026-05-14",
        "name": "Terms last updated"
      },
      {
        "a": "2026-07-22",
        "b": "2026-04-20",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "187 stars, 1.9M npm/wk, 738k PyPI/wk",
        "b": "2 stars, 982 npm/wk, 212 PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "fal video models scores 68.9 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, fal video models or Luma AI API?"
      },
      {
        "answer": "Yes. fal video models has a hosted endpoint at https://queue.fal.run and Luma AI API at https://agents.lumalabs.ai/v1.",
        "question": "Can an agent call fal video models and Luma AI API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 77 against 50",
          "Schema \u0026 documentation, 89 against 43",
          "Agent ergonomics, 81 against 66",
          "Security \u0026 auth, 63 against 48",
          "Maintenance \u0026 community, 81 against 57",
          "Transparency \u0026 trust, 60 against 53"
        ],
        "also": null,
        "goodFor": "An agent or team that wants to compare or switch between Seedance, Kling, Veo, MiniMax, Wan and open-weights video models with one key and one queue contract.",
        "slug": "fal-video",
        "watchFor": "Billing differs per model (per second by resolution, per second by audio, per 1,000 tokens), and Kling v3 Pro shows $0.14 on the pricing page against $0.112 or $0.168 on its model page"
      },
      {
        "aheadOn": null,
        "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"
      }
    ],
    "job": {
      "capability": "video.generate",
      "name": "Video generate"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-fal-video.json",
        "title": "Alibaba Wan (Model Studio) vs fal video models",
        "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-fal-video"
      },
      {
        "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/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/fal-video-vs-kling.json",
        "title": "fal video models vs Kling AI API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-kling"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-minimax-video.json",
        "title": "fal video models vs MiniMax Video API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-minimax-video"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-openai-sora.json",
        "title": "fal video models vs OpenAI Sora API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-openai-sora"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-pika.json",
        "title": "fal video models vs Pika API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-pika"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-pixverse.json",
        "title": "fal video models vs PixVerse API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-pixverse"
      },
      {
        "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/fal-video-vs-runway.json",
        "title": "fal video models vs Runway API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-runway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-vidu.json",
        "title": "fal video models vs Vidu API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-vidu"
      },
      {
        "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/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/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/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-replicate-video.json",
        "title": "Luma AI API vs Replicate video models",
        "url": "https://www.anchorterminal.com/compare/luma-vs-replicate-video"
      },
      {
        "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"
      }
    ],
    "scores": [
      {
        "by": 27,
        "edge": "fal-video",
        "fal-video": 77,
        "key": "reliability",
        "luma": 50,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 46,
        "edge": "fal-video",
        "fal-video": 89,
        "key": "schema",
        "luma": 43,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 15,
        "edge": "fal-video",
        "fal-video": 81,
        "key": "ergonomics",
        "luma": 66,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 15,
        "edge": "fal-video",
        "fal-video": 63,
        "key": "security",
        "luma": 48,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "fal-video": 20,
        "key": "payments",
        "luma": 20,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 24,
        "edge": "fal-video",
        "fal-video": 81,
        "key": "maintenance",
        "luma": 57,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 7,
        "edge": "fal-video",
        "fal-video": 60,
        "key": "transparency",
        "luma": 53,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "fal video models scores 68.9 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 6 of 7 scored categories. Both do video generate.",
    "verdicts": {
      "fal-video": "One key and one queue API reach 137 active text-to-video endpoints, each with a published price, an OpenAPI document and an llms.txt. Billing units, duration formats and audio pricing differ per model, there is no free tier, and a person must sign up in a browser and buy credit.",
      "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."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/fal-video-vs-luma",
    "json": "https://www.anchorterminal.com/compare/fal-video-vs-luma.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/fal-video-vs-luma.md",
    "slim": "https://www.anchorterminal.com/compare/fal-video-vs-luma.min.md"
  },
  "markdown": "fal video models scores 68.9 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 6 of 7 scored categories. Both do video generate.\n\n- fal video models: grade B, 68.9/100, rank #192 of 842. Markdown https://www.anchorterminal.com/tools/fal-video.md · JSON https://www.anchorterminal.com/api/v1/tools/fal-video.json\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\n## Which one, for what\n\n### fal video models (B)\n\nGood for: An agent or team that wants to compare or switch between Seedance, Kling, Veo, MiniMax, Wan and open-weights video models with one key and one queue contract.\n\nAhead on:\n- Reliability, 77 against 50\n- Schema \u0026 documentation, 89 against 43\n- Agent ergonomics, 81 against 66\n- Security \u0026 auth, 63 against 48\n- Maintenance \u0026 community, 81 against 57\n- Transparency \u0026 trust, 60 against 53\n\nWatch for: Billing differs per model (per second by resolution, per second by audio, per 1,000 tokens), and Kling v3 Pro shows $0.14 on the pricing page against $0.112 or $0.168 on its model page\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\nWatch for: Video rates are marked as subject to change before general availability\n\n\n## Score by category\n\n| Category | Weight | fal video models | Luma AI API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 77 | 50 | fal video models +27 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 43 | fal video models +46 |\n| Agent ergonomics | 13% (16.2 this run) | 81 | 66 | fal video models +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 63 | 48 | fal video models +15 |\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) | 81 | 57 | fal video models +24 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 60 | 53 | fal video models +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **68.9 · B** | **48.2 · D** | |\n\n## Facts side by side\n\n| Fact | fal video models | Luma AI API |\n| --- | --- | --- |\n| Kind | Model platform | Model API |\n| Vendor | fal (Features \u0026 Labels, Inc.) | Luma AI |\n| Hosted endpoint | `https://queue.fal.run` | `https://agents.lumalabs.ai/v1` |\n| Transports | HTTP, Streamable HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | none | Apache-2.0 (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-09-21 | 2026-08-05 |\n| Terms last updated | 2026-09-08 | 2026-05-14 |\n| Privacy policy last updated | 2026-07-22 | 2026-04-20 |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 187 stars, 1.9M npm/wk, 738k PyPI/wk | 2 stars, 982 npm/wk, 212 PyPI/wk |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\n\n**fal video models.** One key and one queue API reach 137 active text-to-video endpoints, each with a published price, an OpenAPI document and an llms.txt. Billing units, duration formats and audio pricing differ per model, there is no free tier, and a person must sign up in a browser and buy credit.\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### fal video models\n\n1. Submit to `queue.fal.run`, keep the `request_id`, then poll `status_url` or set `fal_webhook`. Never resubmit to check progress, because each submit is a new billable job\n2. Read `https://fal.ai/models/\u003cendpoint-id\u003e/llms.txt` before a call. `duration` is the string `\"5\"` on Kling, `\"8s\"` on Veo 3.1 and an integer on Wan 3.0\n3. Set `generate_audio` on purpose. It defaults to true and raises the Kling v3 Pro price from $0.112 to $0.168 a second and Veo 3.1 from $0.20 to $0.40\n4. Check `metadata.status` in `https://api.fal.ai/v1/models` before pinning an endpoint. Deprecated endpoints carry no removal date\n5. Use an API-scope key, never an ADMIN key. A new account runs 2 requests at once, so long video jobs queue behind each other\n6. The MCP relay has no server-side approval gate. Call `get_pricing` and get the owner's approval before `submit_job`\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## Questions\n\n### Which is better for AI agents, fal video models or Luma AI API?\n\nfal video models scores 68.9 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 6 of 7 scored categories.\n\n### Can an agent call fal video models and Luma AI API without installing anything?\n\nYes. fal video models has a hosted endpoint at https://queue.fal.run and Luma AI API at https://agents.lumalabs.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/fal-video-vs-luma.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fal-video-vs-luma.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fal-video\", \"b\": \"luma\"}`. From a terminal: `anchor compare fal-video luma`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fal-video.json and https://www.anchorterminal.com/api/v1/tools/luma.json\n\n## Other comparisons with fal video models or Luma AI API\n\n- [Alibaba Wan (Model Studio) vs fal video models](https://www.anchorterminal.com/compare/alibaba-wan-vs-fal-video.md)\n- [Alibaba Wan (Model Studio) vs Luma AI API](https://www.anchorterminal.com/compare/alibaba-wan-vs-luma.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- [fal video models vs Kling AI API](https://www.anchorterminal.com/compare/fal-video-vs-kling.md)\n- [fal video models vs MiniMax Video API](https://www.anchorterminal.com/compare/fal-video-vs-minimax-video.md)\n- [fal video models vs OpenAI Sora API](https://www.anchorterminal.com/compare/fal-video-vs-openai-sora.md)\n- [fal video models vs Pika API](https://www.anchorterminal.com/compare/fal-video-vs-pika.md)\n- [fal video models vs PixVerse API](https://www.anchorterminal.com/compare/fal-video-vs-pixverse.md)\n- [fal video models vs Replicate video models](https://www.anchorterminal.com/compare/fal-video-vs-replicate-video.md)\n- [fal video models vs Runway API](https://www.anchorterminal.com/compare/fal-video-vs-runway.md)\n- [fal video models vs Vidu API](https://www.anchorterminal.com/compare/fal-video-vs-vidu.md)\n- [Google Veo vs Luma AI API](https://www.anchorterminal.com/compare/google-veo-vs-luma.md)\n- [Higgsfield API vs Luma AI API](https://www.anchorterminal.com/compare/higgsfield-vs-luma.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 Replicate video models](https://www.anchorterminal.com/compare/luma-vs-replicate-video.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": "2026-10-09",
    "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": "fal video models vs Luma AI API",
        "url": ""
      }
    ],
    "description": "fal video models scores 68.9 (B) on agent readiness against Luma AI API's 48.2 (D), and leads in 6 of 7 scored categories. Both do video generate. Category scores, facts, verdicts and agent notes side by side.",
    "facts": [
      "fal video models B 68.9",
      "Luma AI API D 48.2",
      "scores"
    ],
    "h1": "fal video models vs Luma AI API",
    "image": "https://www.anchorterminal.com/assets/og/compare-fal-video-vs-luma.png",
    "path": "/compare/fal-video-vs-luma",
    "published": "2026-10-01",
    "section": "tools",
    "title": "fal video models vs Luma AI API for AI agents, B 68.9 vs D 48.2",
    "toc": null,
    "updated": "2026-10-09",
    "url": "https://www.anchorterminal.com/compare/fal-video-vs-luma"
  },
  "tokens": {
    "markdown": 2250,
    "slim": 630
  },
  "version": 1
}