{
  "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": 220,
        "ranked": true,
        "rankOf": 1184,
        "categoryRank": 1,
        "methodology": "0.5",
        "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": 4,
        "avgRating": 3.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.5",
            "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": "2026-10-21T02:18:53.608114Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 268,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 302,
          "p95ms24h": 352,
          "samples24h": 252,
          "samples30d": 2953,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 169,
              "ok": 169
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-18",
              "probes": 256,
              "ok": 256
            },
            {
              "date": "2026-10-19",
              "probes": 255,
              "ok": 255
            },
            {
              "date": "2026-10-20",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-21",
              "probes": 25,
              "ok": 25
            }
          ]
        },
        "versions": [
          {
            "registry": "npm",
            "name": "@fal-ai/client",
            "version": "1.10.1",
            "seenAt": "2026-10-20T04:50:03.741004607Z"
          },
          {
            "registry": "pypi",
            "name": "fal-client",
            "version": "1.0.3",
            "released": "2026-09-21",
            "seenAt": "2026-10-20T04:50:05.643727586Z"
          }
        ],
        "npmWeekly": 1020291,
        "pypiWeekly": 716028,
        "securityTxt": {
          "url": "https://fal.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-20T15:57:51.207149055Z"
        },
        "llmsTxt": {
          "url": "https://fal.ai/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-20T14:30:44.521358776Z"
        },
        "domain": {
          "domain": "fal.ai",
          "registered": "2020-11-13",
          "source": "https://rdap.identitydigital.services/rdap/domain/fal.ai",
          "checkedAt": "2026-10-18T13:37:52.304345748Z"
        },
        "pages": [
          {
            "url": "https://fal.ai/docs/documentation/model-apis/pricing.md",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-21T00:48:53.336612743Z",
            "changedAt": "2026-10-21T00:27:09.133726945Z",
            "fingerprint": "f5c981242046"
          }
        ],
        "updatedAt": "2026-10-21T02:18:53.608114Z"
      }
    },
    "answer": "fal video models scores 68.9 (B) on agent readiness against framefields's 61.3 (C), and leads in 5 of 7 scored categories. framefields leads on payments \u0026 pricing and maintenance \u0026 community.",
    "b": {
      "slug": "framefields",
      "name": "framefields",
      "vendor": "Gatewai",
      "vendorUrl": "https://framefields.dev",
      "kind": "sdk",
      "category": "video-generation",
      "summary": "framefields is an open-source TypeScript library that renders motion graphics, text, charts, 3D and audio to MP4 on the GPU through WebGPU in Node.js. Coding agents write the composition as code, with skills for Claude Code and other agents.",
      "url": "https://www.anchorterminal.com/tools/framefields",
      "markdownUrl": "https://www.anchorterminal.com/tools/framefields.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/framefields.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/framefields.json",
      "repo": "https://github.com/gatewai-dev/framefields",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "npm",
          "name": "framefields"
        }
      ],
      "auth": "none",
      "authNotes": "No account or key for the npm library, which runs on the owner's machine. The optional self-hosted renderer worker takes jobs over HTTP with one bearer key (`RENDERER_API_KEY`), a required repository allowlist (`FF_REPO_ALLOWLIST`) and a git token for private repositories, all set by the owner.",
      "pricing": "free",
      "pricingNotes": "Free under Apache-2.0, with nothing to buy from Gatewai. The owner pays for any GPU host that runs the self-hosted renderer worker (a Docker container on an NVIDIA host, a RunPod pod or RunPod serverless).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the llms.txt files or the repository source (checked 2026-10-20). There is nothing to pay Gatewai for.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 445,
        "npmWeekly": 1102,
        "pypiWeekly": null,
        "asOf": "2026-10-20"
      },
      "docsUrl": "https://framefields.dev/docs/",
      "llmsTxt": "https://framefields.dev/llms.txt",
      "capabilities": [
        "video.generate",
        "video.render",
        "video.edit",
        "video.audio"
      ],
      "tags": [
        "open-source",
        "apache-2.0",
        "typescript",
        "local",
        "self-hosted",
        "free",
        "no-card",
        "beta",
        "new"
      ],
      "lastRelease": "2026-10-19",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 61.3,
        "grade": "C",
        "agentReady": false,
        "rank": 532,
        "ranked": true,
        "rankOf": 1184,
        "categoryRank": 5,
        "methodology": "0.5",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 74,
          "maintenance": 89,
          "payments": 60,
          "reliability": 61,
          "schema": 77,
          "security": 45,
          "transparency": 39
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-20"
        },
        "negative": -2,
        "negativeNotes": [
          "20 October 2026. The install page says `/plugin install framefields` comes from Anthropic's official plugin directory, which Claude Code adds for you. The directory's public marketplace file (last commit 19 October 2026) lists 315 plugins and no framefields entry, so the command as documented would not find the plugin. It may be a submission still pending; the deduction lapses if the entry appears. Sources: https://framefields.dev/docs/agents/install/ and https://raw.githubusercontent.com/anthropics/claude-plugins-official/main/.claude-plugin/marketplace.json (-2)"
        ],
        "verdict": "A free Apache-2.0 library that renders video from TypeScript on the GPU, with lint and QA codes an agent can act on. It is fifteen days old, called beta, and its Claude Code install command names a plugin directory entry that was not found on 20 October 2026.",
        "bestFor": "Coding agents that write motion graphics, data stories, title cards and 3D product shots as code and render them locally or on their own GPU.",
        "strengths": [
          "Apache-2.0 library with nothing to buy and no account",
          "`comp.lint()` and `renderVideo({ qa })` return documented codes with severities and fixes",
          "llms.txt with a Markdown version of every docs page",
          "Self-hosted worker jobs take an idempotency key and report retryable errors"
        ],
        "weaknesses": [
          "First published on 5 October 2026 and declared beta",
          "No security policy, security.txt or npm provenance attestations found",
          "Public CI runs the worker's tests, not the library's Vitest suite",
          "Needs Node.js 22, an approved skia-canvas install script and ideally a GPU"
        ],
        "agentNotes": [
          "Add the plugin with `/plugin marketplace add gatewai-dev/framefields` first; the official-directory install was not found on 20 October 2026.",
          "Approve only the skia-canvas install script, as the getting-started page shows, or imports fail with a missing `skia.node`.",
          "Check with `comp.lint()` and `renderFrameGrid` before a full `renderVideo` encode.",
          "Call `process.exit()` after rendering; native GPU threads keep the script alive.",
          "Preload vision models into `FRAMEFIELDS_MODELS_DIR` for offline or CI renders."
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.5",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 61.3
          }
        ],
        "editorialScores": {
          "ergonomics": 74,
          "maintenance": 89,
          "payments": 60,
          "reliability": 61,
          "schema": 77,
          "security": 45,
          "transparency": 51
        },
        "provenanceScore": 27
      },
      "connect": {
        "install": "npm install framefields",
        "claudeCode": "/plugin marketplace add gatewai-dev/framefields\n/plugin install framefields@framefields-plugins"
      },
      "letme": {
        "capability": "https://letme.dev/video.generate",
        "tool": "https://letme.dev/framefields"
      },
      "area": "content",
      "provenance": {
        "legalEntity": "",
        "domain": "framefields.dev",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "https://raw.githubusercontent.com/gatewai-dev/framefields/main/LICENCE",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/gatewai-dev/framefields/blob/main/packages/framefields/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-20",
        "notes": [
          "The site footer says framefields is made by Gatewai; the npm maintainer is gatewai.studio. No legal entity was found, and gatewai.studio is a page drawn by script.",
          "framefields.dev/.well-known/security.txt answers 404, and the repository has no SECURITY.md.",
          "No terms or privacy policy on framefields.dev; the Apache-2.0 LICENCE stands in for terms for software with nothing hosted."
        ],
        "score": 27
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/framefields.json",
      "live": {
        "slug": "framefields",
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/gatewai-dev/framefields/main/packages/framefields/CHANGELOG.md",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-21T00:56:15.61703243Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "1473bd89890a"
          },
          {
            "url": "https://raw.githubusercontent.com/gatewai-dev/framefields/main/LICENCE",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-21T00:56:13.546768723Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "839fbbcddc72"
          }
        ],
        "updatedAt": "2026-10-21T00:56:15.61703243Z"
      }
    },
    "facts": [
      {
        "a": "Platform",
        "b": "SDK + MCP",
        "name": "Kind"
      },
      {
        "a": "fal (Features \u0026 Labels, Inc.)",
        "b": "Gatewai",
        "name": "Vendor"
      },
      {
        "a": "https://queue.fal.run",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "none",
        "b": "Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-21",
        "b": "2026-10-19",
        "name": "Last release"
      },
      {
        "a": "2026-09-08",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "2026-07-22",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "187 stars, 1.9M npm/wk, 738k PyPI/wk",
        "b": "445 stars, 1.1k npm/wk",
        "name": "Popularity"
      },
      {
        "a": "3.3/5 (4)",
        "b": "3.5/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "fal video models scores 68.9 (B) on agent readiness against framefields's 61.3 (C), and leads in 5 of 7 scored categories. framefields leads on payments \u0026 pricing and maintenance \u0026 community.",
        "question": "Which is better for AI agents, fal video models or framefields?"
      },
      {
        "answer": "No open-source release is listed for fal video models. framefields is open source (Apache-2.0).",
        "question": "Are fal video models and framefields open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 77 against 61",
          "Schema \u0026 documentation, 89 against 77",
          "Agent ergonomics, 81 against 74",
          "Security \u0026 auth, 63 against 45",
          "Transparency \u0026 trust, 60 against 39"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "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": [
          "Payments \u0026 pricing, 60 against 20",
          "Maintenance \u0026 community, 89 against 81"
        ],
        "also": [
          "No key needed to call it",
          "Free to start without a card",
          "Open source"
        ],
        "goodFor": "Coding agents that write motion graphics, data stories, title cards and 3D product shots as code and render them locally or on their own GPU.",
        "slug": "framefields",
        "watchFor": "First published on 5 October 2026 and declared beta"
      }
    ],
    "job": {
      "capability": "video.generate",
      "name": "Video generation"
    },
    "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-framefields.json",
        "title": "Alibaba Wan (Model Studio) vs framefields",
        "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields"
      },
      {
        "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-hyperframes.json",
        "title": "fal video models vs HyperFrames",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-hyperframes"
      },
      {
        "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-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-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-popcraft-mcp.json",
        "title": "fal video models vs Popcraft MCP",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-popcraft-mcp"
      },
      {
        "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-seedance-on-byteplus-modelark.json",
        "title": "fal video models vs Seedance on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-seedance-on-byteplus-modelark"
      },
      {
        "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/framefields-vs-google-veo.json",
        "title": "framefields vs Google Veo",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-google-veo"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-higgsfield.json",
        "title": "framefields vs Higgsfield API",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-higgsfield"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-hyperframes.json",
        "title": "framefields vs HyperFrames",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-hyperframes"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-kling.json",
        "title": "framefields vs Kling AI API",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-kling"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-luma.json",
        "title": "framefields vs Luma AI API",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-luma"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-minimax-video.json",
        "title": "framefields vs MiniMax Video API",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-minimax-video"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-openai-sora.json",
        "title": "framefields vs OpenAI Sora API",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-openai-sora"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-pika.json",
        "title": "framefields vs Pika API",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-pika"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-pixverse.json",
        "title": "framefields vs PixVerse API",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-pixverse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-popcraft-mcp.json",
        "title": "framefields vs Popcraft MCP",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-popcraft-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-replicate-video.json",
        "title": "framefields vs Replicate video models",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-replicate-video"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-runway.json",
        "title": "framefields vs Runway API",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-runway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-seedance-on-byteplus-modelark.json",
        "title": "framefields vs Seedance on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-seedance-on-byteplus-modelark"
      },
      {
        "json": "https://www.anchorterminal.com/compare/framefields-vs-vidu.json",
        "title": "framefields vs Vidu API",
        "url": "https://www.anchorterminal.com/compare/framefields-vs-vidu"
      },
      {
        "json": "https://www.anchorterminal.com/compare/clueso-video-vs-fal-video.json",
        "title": "Clueso vs fal video models",
        "url": "https://www.anchorterminal.com/compare/clueso-video-vs-fal-video"
      },
      {
        "json": "https://www.anchorterminal.com/compare/clueso-video-vs-framefields.json",
        "title": "Clueso vs framefields",
        "url": "https://www.anchorterminal.com/compare/clueso-video-vs-framefields"
      }
    ],
    "scores": [
      {
        "by": 16,
        "edge": "fal-video",
        "fal-video": 77,
        "framefields": 61,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 12,
        "edge": "fal-video",
        "fal-video": 89,
        "framefields": 77,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 7,
        "edge": "fal-video",
        "fal-video": 81,
        "framefields": 74,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 18,
        "edge": "fal-video",
        "fal-video": 63,
        "framefields": 45,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 40,
        "edge": "framefields",
        "fal-video": 20,
        "framefields": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "edge": "framefields",
        "fal-video": 81,
        "framefields": 89,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 21,
        "edge": "fal-video",
        "fal-video": 60,
        "framefields": 39,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "fal video models scores 68.9 (B) on agent readiness against framefields's 61.3 (C), and leads in 5 of 7 scored categories. framefields leads on payments \u0026 pricing and maintenance \u0026 community. Both do video generation.",
    "tutorials": [],
    "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.",
      "framefields": "A free Apache-2.0 library that renders video from TypeScript on the GPU, with lint and QA codes an agent can act on. It is fifteen days old, called beta, and its Claude Code install command names a plugin directory entry that was not found on 20 October 2026."
    }
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  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/fal-video-vs-framefields",
    "json": "https://www.anchorterminal.com/compare/fal-video-vs-framefields.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/fal-video-vs-framefields.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/fal-video-vs-framefields.min.md"
  },
  "markdown": "fal video models scores 68.9 (B) on agent readiness against framefields's 61.3 (C), and leads in 5 of 7 scored categories. framefields leads on payments \u0026 pricing and maintenance \u0026 community. Both do video generation.\n\n- fal video models: grade B, 68.9/100, rank #220 of 1184. Markdown https://www.anchorterminal.com/tools/fal-video.md · JSON https://www.anchorterminal.com/api/v1/tools/fal-video.json\n- framefields: grade C, 61.3/100, rank #532 of 1184. Markdown https://www.anchorterminal.com/tools/framefields.md · JSON https://www.anchorterminal.com/api/v1/tools/framefields.json\n- Best video generation for AI agents: https://www.anchorterminal.com/best/video-generation/index.md\n- All 148 video comparisons: https://www.anchorterminal.com/compare/video-generation/index.md\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 61\n- Schema \u0026 documentation, 89 against 77\n- Agent ergonomics, 81 against 74\n- Security \u0026 auth, 63 against 45\n- Transparency \u0026 trust, 60 against 39\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\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### framefields (C)\n\nGood for: Coding agents that write motion graphics, data stories, title cards and 3D product shots as code and render them locally or on their own GPU.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 89 against 81\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- Open source\n\nWatch for: First published on 5 October 2026 and declared beta\n\n\n## Score by category\n\n| Category | Weight | fal video models | framefields | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 77 | 61 | fal video models +16 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 77 | fal video models +12 |\n| Agent ergonomics | 13% (16.2 this run) | 81 | 74 | fal video models +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 63 | 45 | fal video models +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 60 | framefields +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 81 | 89 | framefields +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 60 | 39 | fal video models +21 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **68.9 · B** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | fal video models | framefields |\n| --- | --- | --- |\n| Kind | Platform | SDK + MCP |\n| Vendor | fal (Features \u0026 Labels, Inc.) | Gatewai |\n| Hosted endpoint | `https://queue.fal.run` | no (local only) |\n| Transports | HTTP, Streamable HTTP |  |\n| Auth | OAuth or key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | none | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-21 | 2026-10-19 |\n| Terms last updated | 2026-09-08 |  |\n| Privacy policy last updated | 2026-07-22 | no document linked |\n| Customer content may train models | not found in the text |  |\n| Terms restrict automated access | yes |  |\n| Terms restrict benchmarking | yes |  |\n| Terms or service can change without notice | not found in the text |  |\n| Arbitration or class-action waiver | yes |  |\n| Popularity | 187 stars, 1.9M npm/wk, 738k PyPI/wk | 445 stars, 1.1k npm/wk |\n| Agent reviews | 3.3/5 (4) | 3.5/5 (4) |\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**framefields.** A free Apache-2.0 library that renders video from TypeScript on the GPU, with lint and QA codes an agent can act on. It is fifteen days old, called beta, and its Claude Code install command names a plugin directory entry that was not found on 20 October 2026.\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### framefields\n\n1. Add the plugin with `/plugin marketplace add gatewai-dev/framefields` first; the official-directory install was not found on 20 October 2026.\n2. Approve only the skia-canvas install script, as the getting-started page shows, or imports fail with a missing `skia.node`.\n3. Check with `comp.lint()` and `renderFrameGrid` before a full `renderVideo` encode.\n4. Call `process.exit()` after rendering; native GPU threads keep the script alive.\n5. Preload vision models into `FRAMEFIELDS_MODELS_DIR` for offline or CI renders.\n\n## Questions\n\n### Which is better for AI agents, fal video models or framefields?\n\nfal video models scores 68.9 (B) on agent readiness against framefields's 61.3 (C), and leads in 5 of 7 scored categories. framefields leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Are fal video models and framefields open source?\n\nNo open-source release is listed for fal video models. framefields is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/fal-video-vs-framefields.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fal-video-vs-framefields.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fal-video\", \"b\": \"framefields\"}`. From a terminal: `anchor compare fal-video framefields`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fal-video.json and https://www.anchorterminal.com/api/v1/tools/framefields.json\n\n## Other comparisons with fal video models or framefields\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 framefields](https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields.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 HyperFrames](https://www.anchorterminal.com/compare/fal-video-vs-hyperframes.md)\n- [fal video models vs Kling AI API](https://www.anchorterminal.com/compare/fal-video-vs-kling.md)\n- [fal video models vs Luma AI API](https://www.anchorterminal.com/compare/fal-video-vs-luma.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 Popcraft MCP](https://www.anchorterminal.com/compare/fal-video-vs-popcraft-mcp.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 Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/fal-video-vs-seedance-on-byteplus-modelark.md)\n- [fal video models vs Vidu API](https://www.anchorterminal.com/compare/fal-video-vs-vidu.md)\n- [framefields vs Google Veo](https://www.anchorterminal.com/compare/framefields-vs-google-veo.md)\n- [framefields vs Higgsfield API](https://www.anchorterminal.com/compare/framefields-vs-higgsfield.md)\n- [framefields vs HyperFrames](https://www.anchorterminal.com/compare/framefields-vs-hyperframes.md)\n- [framefields vs Kling AI API](https://www.anchorterminal.com/compare/framefields-vs-kling.md)\n- [framefields vs Luma AI API](https://www.anchorterminal.com/compare/framefields-vs-luma.md)\n- [framefields vs MiniMax Video API](https://www.anchorterminal.com/compare/framefields-vs-minimax-video.md)\n- [framefields vs OpenAI Sora API](https://www.anchorterminal.com/compare/framefields-vs-openai-sora.md)\n- [framefields vs Pika API](https://www.anchorterminal.com/compare/framefields-vs-pika.md)\n- [framefields vs PixVerse API](https://www.anchorterminal.com/compare/framefields-vs-pixverse.md)\n- [framefields vs Popcraft MCP](https://www.anchorterminal.com/compare/framefields-vs-popcraft-mcp.md)\n- [framefields vs Replicate video models](https://www.anchorterminal.com/compare/framefields-vs-replicate-video.md)\n- [framefields vs Runway API](https://www.anchorterminal.com/compare/framefields-vs-runway.md)\n- [framefields vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/framefields-vs-seedance-on-byteplus-modelark.md)\n- [framefields vs Vidu API](https://www.anchorterminal.com/compare/framefields-vs-vidu.md)\n- [Clueso vs fal video models](https://www.anchorterminal.com/compare/clueso-video-vs-fal-video.md)\n- [Clueso vs framefields](https://www.anchorterminal.com/compare/clueso-video-vs-framefields.md)\n",
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        "name": "fal video models vs framefields",
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    "description": "fal video models scores 68.9 (B) to framefields's 61.3 (C) for video generation. Prices, MCP, x402, uptime and agent notes side by side.",
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    "h1": "fal video models vs framefields",
    "image": "https://www.anchorterminal.com/assets/og/compare-fal-video-vs-framefields.png",
    "path": "/compare/fal-video-vs-framefields",
    "published": "2026-10-01",
    "section": "tools",
    "title": "fal video models vs framefields for AI agents (2026) | Anchor Terminal",
    "toc": null,
    "updated": "2026-10-20",
    "url": "https://www.anchorterminal.com/compare/fal-video-vs-framefields"
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