{ "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", "dns": "fal-video.grade.anchorterminal.com", "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/docs/api-reference/inference-api/openapi/queue.json", "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": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 72.2, "grade": "BB", "agentReady": true, "rank": 232, "ranked": true, "rankOf": 1524, "categoryRank": 1, "methodology": "0.8", "run": "2026-10-01", "scores": { "ergonomics": 81, "maintenance": 81, "payments": 30, "reliability": 77, "schema": 89, "security": 73, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": 0, "verdict": "One key and one queue API reach 121 active text-to-video endpoints, each with a published price and an OpenAPI document, and keys can be limited by permission, model and expiry. 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": [ "152 text-to-video endpoints in the catalogue API on 1 November 2026, 121 active, plus image-to-video and video-to-video categories", "Each model has a per-endpoint OpenAPI document from the catalogue API 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", "Keys take permission presets or custom policies, a model limit and an expiry from 1 hour to 1 year (9 October 2026)" ], "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", "31 of 152 text-to-video endpoints are marked deprecated in the catalogue, most without a removal date. Veo 3.1 is deprecated on 17 November 2026", "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` and the model page's notice before pinning an endpoint. Veo 3.1 is deprecated on 17 November 2026", "Use a key on the `API` preset limited to the video models you call, never a FULL or legacy ADMIN key. A new account runs 2 requests at once", "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": "BB", "methodology": "0.8", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 72.2 } ], "editorialScores": { "ergonomics": 81, "maintenance": 81, "payments": 30, "reliability": 77, "schema": 89, "security": 73, "transparency": 57 }, "provenanceScore": 71, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-13", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "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. Endpoint deprecated on 17 November 2026" }, { "item": "Veo 3.1 Fast with audio, 720p or 1080p", "unit": "video-second", "usd": 0.15, "note": "$0.10 without audio. Endpoint deprecated on 17 November 2026" }, { "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": "standard rate from 16 November 2026, $0.056 on promotion 1 to 15 November. $0.05 at 480p and $0.16 at 1080p" }, { "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": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/fal-video.json", "live": { "slug": "fal-video", "probe": { "target": "https://queue.fal.run", "method": "get", "lastAt": "2026-11-14T00:27:53.117107083Z", "lastOk": true, "lastStatus": 404, "lastMs": 310, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 314, "p95ms24h": 396, "samples24h": 238, "samples30d": 7649, "days": [ { "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": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 248, "ok": 248 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 243, "ok": 243 }, { "date": "2026-11-08", "probes": 243, "ok": 243 }, { "date": "2026-11-09", "probes": 243, "ok": 243 }, { "date": "2026-11-10", "probes": 244, "ok": 244 }, { "date": "2026-11-11", "probes": 244, "ok": 244 }, { "date": "2026-11-12", "probes": 245, "ok": 245 }, { "date": "2026-11-13", "probes": 238, "ok": 238 }, { "date": "2026-11-14", "probes": 5, "ok": 5 } ], "since": "2026-10-09T00:00:00Z" }, "vendorStatus": { "page": "https://status.fal.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-01T20:58:08.758160352Z" }, "versions": [ { "registry": "npm", "name": "@fal-ai/client", "version": "1.10.1", "seenAt": "2026-11-13T08:34:22.398747916Z" }, { "registry": "pypi", "name": "fal-client", "version": "1.0.3", "released": "2026-09-21", "seenAt": "2026-11-13T08:34:24.164525084Z" } ], "npmWeekly": 2315945, "pypiWeekly": 770800, "securityTxt": { "url": "https://fal.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-13T16:17:01.786066163Z" }, "llmsTxt": { "url": "https://fal.ai/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-13T15:54:18.800825376Z" }, "domain": { "domain": "fal.ai", "registered": "2020-11-13", "source": "https://rdap.identitydigital.services/rdap/domain/fal.ai", "checkedAt": "2026-11-08T15:08:24.201248311Z" }, "pages": [ { "url": "https://fal.ai/models/decart/lucy-edit/pro", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-13T18:19:54.814713763Z", "changedAt": "2026-11-12T17:39:28.05474497Z", "fingerprint": "8234943ac68c" }, { "url": "https://fal.ai/models/fal-ai/luma-dream-machine/ray-2", "kind": "deprecations", "status": 404, "checkedAt": "2026-11-13T18:19:57.320294236Z", "changedAt": "2026-11-06T13:31:59.55979601Z", "fingerprint": "148ab9056e01" }, { "url": "https://fal.ai/models/fal-ai/veo3.1", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-13T18:19:58.467160539Z", "changedAt": "2026-11-12T17:39:32.514243303Z", "fingerprint": "3c9f9c43add3" }, { "url": "https://fal.ai/docs/documentation/model-apis/pricing.md", "kind": "pricing", "status": 200, "checkedAt": "2026-11-13T18:19:48.487783754Z", "changedAt": "2026-10-31T06:12:26.828251264Z", "fingerprint": "d49ab290d3a5" } ], "updatedAt": "2026-11-14T00:27:53.117107083Z" }, "streak": { "days": 20, "from": "2026-10-25", "last": { "kind": "shutdown", "date": "2026-10-25", "what": "Luma Ray 2 endpoints `fal-ai/luma-dream-machine/ray-2` and `ray-2-flash`, with their image-to-video, modify and reframe variants, are deprecated. Move to Ray v3.2", "source": "https://fal.ai/models/fal-ai/luma-dream-machine/ray-2" }, "next": { "kind": "shutdown", "date": "2026-11-17", "what": "`fal-ai/veo3.1` and every endpoint under `fal-ai/veo3.1/` are deprecated on fal, with no replacement named", "source": "https://fal.ai/models/fal-ai/veo3.1" }, "best": 20 } }, "answer": "fal video models scores 72.2 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on transparency \u0026 trust.", "b": { "slug": "gemini-omni-1-2-flash", "name": "Gemini Omni 1.2 Flash", "vendor": "Google", "vendorUrl": "https://ai.google.dev", "kind": "model", "category": "video-generation", "summary": "Gemini Omni 1.2 Flash is Google's generally available video model. It generates and edits clips of up to 15 seconds with audio from text, images, short clips and keyframes, from $0.023 a second at 360p to $0.209 at 4K.", "url": "https://www.anchorterminal.com/tools/gemini-omni-1-2-flash", "markdownUrl": "https://www.anchorterminal.com/tools/gemini-omni-1-2-flash.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-omni-1-2-flash.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-omni-1-2-flash.json", "dns": "gemini-omni-1-2-flash.grade.anchorterminal.com", "license": "Closed model, used through the Gemini API and Google Cloud under Google's terms. The google-genai SDKs are Apache-2.0", "transports": [ "http" ], "packages": [], "auth": "api-key", "authNotes": "An `x-goog-api-key` from Google AI Studio on the Gemini API, per the Gemini API listing; on Google Cloud, a project with Gemini for business. Paid use needs billing on the Cloud project.", "pricing": "usage", "pricingNotes": "$1.50 per million input tokens, $9 per million text output tokens and $12 per million video output tokens. Video bills at 5,792 tokens a second at 720p, about $0.07 a second; Google gives $0.023 a second at 360p, $0.104 at 1080p and $0.209 at 4K with upsampling. No free tier, Batch, Flex or Priority. From 3 December 2026 requests to Omni 1.1 Flash route to 1.2 Flash at 1.2 rates. Per the pricing page, 11 November 2026.", "priceSummary": "Pay per use", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in Google's announcement of 5 November 2026. Paid use is billed to a Cloud project, per the Gemini API listing.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-11" }, "docsUrl": "https://aistudio.google.com/docs/omni", "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt", "capabilities": [ "video.generate", "video.edit", "video.image-to-video", "video.audio" ], "tags": [ "official", "hosted", "model", "multimodal", "usage-priced", "closed-source", "llms-txt", "watermark", "new" ], "lastRelease": "2026-11-05", "graded": true, "anchor": { "graded": true, "score": 55.1, "grade": "C", "agentReady": false, "rank": 972, "ranked": true, "rankOf": 1524, "categoryRank": 10, "methodology": "0.8", "run": "2026-10-01", "scores": { "ergonomics": 54, "maintenance": 83, "payments": 30, "reliability": 45, "schema": 69, "security": 50, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-11" }, "negative": 0, "verdict": "Google's generally available video model makes clips of up to 15 seconds with audio, edits them turn by turn and upscales drafts to 1080p or 4K, from $0.023 a second at 360p to $0.209 at 4K. It is paid only, the guide still describes Omni 1.1, and every quality claim is Google's.", "bestFor": "Short product, ad and explainer clips with audio where an agent needs to revise a clip over several turns rather than regenerate it.", "strengths": [ "Generally available on the Gemini API and Google Cloud, per Google's post of 5 November 2026", "Per-second rates published without a login: $0.023 at 360p, about $0.07 at 720p, $0.104 at 1080p, $0.209 at 4K", "Edits run turn by turn through previous_interaction_id instead of regenerating the clip", "Takes text, reference images, up to three short reference clips and first and last keyframes", "Paid-tier content isn't used to improve Google's products, and outputs carry a SynthID watermark" ], "weaknesses": [ "No free tier, per the pricing page", "The Omni guide, read on 11 November, still describes Omni 1.1 Flash and doesn't mention 1.2", "Length is set in the prompt with timecodes, not by a request field", "Editing or extending uploaded videos isn't available in the EEA, Switzerland or the UK", "Google says fast sports action, rapid script changes and complex physics are still weak" ], "agentNotes": [ "Call POST /v1beta/interactions with model gemini-omni-1.2-flash and response_format type video; Veo is gone from the Gemini API", "Set delivery to uri for clips over 4 MB and poll the file until ACTIVE; a later GET returns base64 only", "Edit with previous_interaction_id and leave store on, or the clip can't be edited in a later turn", "Set length in the prompt with timecodes such as [0-3s]; there is no duration field", "Draft at 360p or 720p and upscale only the keepers: 4K costs about nine times 360p" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.8", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.1 } ], "editorialScores": { "ergonomics": 54, "maintenance": 83, "payments": 30, "reliability": 45, "schema": 69, "security": 50, "transparency": 55 }, "provenanceScore": 89, "checked": { "categories": { "ergonomics": "2026-11-11", "maintenance": "2026-11-11", "payments": "2026-11-11", "reliability": "2026-11-11", "schema": "2026-11-11", "security": "2026-11-11", "transparency": "2026-11-11" }, "last": "2026-11-11", "lastMoved": "2026-11-13", "oldest": "2026-11-11", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl -X POST \"https://generativelanguage.googleapis.com/v1beta/interactions\" \\\n -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"model\":\"gemini-omni-1.2-flash\",\"input\":\"[0-6s] A ceramic mug turning slowly on a wooden table, continuous shot.\",\"response_format\":{\"type\":\"video\",\"aspect_ratio\":\"16:9\",\"resolution\":\"720p\",\"delivery\":\"uri\"}}'" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/gemini-omni-1-2-flash" }, "sameCompany": [ "gemini-4-carbon", "gemini-4-hydrogen", "vertex-ai", "embeddinggemma-2", "embeddinggemma-300m", "gemini-embedding", "vertex-ai-tuning", "cloud-run-gpus", "google-model-armor", "shieldgemma", "google-imagen", "google-veo", "google-lyria", "google-speech-to-text", "google-cloud-tts", "gemini-live", "google-adk", "google-memory-bank", "google-secret-manager", "google-cloud-document-ai", "google-weather-api", "chrome-devtools-mcp", "puppeteer", "mcp-toolbox-databases", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-cloud-storage", "google-drive-api", "gemini-enterprise", "gemini-decision-1", "antigravity-cli", "gemini-cli", "harness2", "jules", "gemini-spark", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api", "google-people-api", "diffusiongemma-26b-a4b-it", "gemma-4-12b-it", "gemma-4-26b-a4b-it", "gemma-4-31b-it", "gemma-4-e2b-it", "gemma-4-e4b-it", "virustotal" ], "sameModel": [ "gemini-api" ], "area": "content", "unitPrices": [ { "item": "Gemini Omni 1.2 Flash, 360p", "unit": "video-second", "usd": 0.023, "note": "Pricing page effective rate" }, { "item": "Gemini Omni 1.2 Flash, 720p", "unit": "video-second", "usd": 0.07, "note": "About; 5,792 output tokens a second at $12 per million" }, { "item": "Gemini Omni 1.2 Flash, 1080p", "unit": "video-second", "usd": 0.104, "note": "With upsampling" }, { "item": "Gemini Omni 1.2 Flash, 4K", "unit": "video-second", "usd": 0.209, "note": "With upsampling" } ], "provenance": { "legalEntity": "Google LLC", "domain": "google.com", "domainRegistered": "1997-09-15", "domainNote": "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997.", "endpointOnVendorDomain": true, "terms": "https://ai.google.dev/gemini-api/terms", "privacy": "https://policies.google.com/privacy", "statusPage": "https://aistudio.google.com/status", "changelog": "https://ai.google.dev/gemini-api/docs/changelog", "securityTxt": "valid", "checked": "2026-11-11", "score": 89 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-omni-1-2-flash.json", "live": { "slug": "gemini-omni-1-2-flash", "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-11-13T16:15:44.621683591Z" }, "llmsTxt": { "url": "https://ai.google.dev/gemini-api/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-13T15:54:29.187425516Z" }, "updatedAt": "2026-11-13T16:15:44.621683591Z" } }, "edges": [ { "by": 32, "category": "reliability", "leads": "fal-video", "name": "Reliability", "reasons": { "a": "Graded as a hosted service on the queue API. Instatus page at status.fal.ai with components for Model API, Serverless API, Official Models and the dashboards, and monthly uptime figures (20). The notice history, re-read on 1 November 2026, has two notices in the 90 days from 3 August, a 30-minute major outage of synchronous calls to `fal.run` on 4 September (the queue wasn't named, so partial) and 18 minutes of degraded performance on 29 September, and none in October (20). Concurrency is published, 2 for a new account rising to 40 self-serve with paid invoices over four weeks, and queued requests are never rejected (15). A 429 carries type `concurrent_requests_limit` and `X-Fal-needs-retry: 1`, the docs give backoff of 1, 2, 4 and 8 seconds, the queue retries 503, 504 and connection errors up to 10 times, and backup domains are documented. There is no idempotency key, and one page says concurrency requeues have no maximum while another says 10 (12). The enterprise page mentions SLA guarantees but no SLA document is published (0). The queue API is generally available (10).", "b": "Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Platform rate-limit tiers; the public rate-limit page has no Omni 1.2 row (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA read for the Gemini API route, and the Omni guide says provisioned throughput isn't supported there; Google's post puts it on Google Cloud (0). Google's post of 5 November says generally available, and the SDK commit marks the model GA (10). 10 + 5 + 5 + 15 + 0 + 10 = 45." }, "scores": { "a": 77, "b": 45 } }, { "by": 27, "category": "ergonomics", "leads": "fal-video", "name": "Agent ergonomics", "reasons": { "a": "Graded on the queue API, with the hosted MCP server noted. Results are small JSON with a file URL, and a model's llms.txt is 6 to 8 KB loaded on demand. The MCP server has 11 tools with schema and pricing lookups (20). The catalogue API takes `category`, `limit` and a cursor, queue status reports position, webhooks replace polling, and most models take duration and resolution, though names and types differ (18). Errors carry a machine-readable `error_type`, the same value in `X-Fal-Error-Type`, and guidance on which to retry (18). No idempotency key. Server-side retries, `X-Fal-No-Retry`, a cancel endpoint and no charge for 5xx failures reduce the cost of a failed call, but a repeated submit is a second billable job, and the MCP docs don't mention readOnlyHint or destructiveHint (10). Few required parameters, and official Python and JavaScript clients plus Swift, Kotlin and Dart (15).", "b": "Read on the lines the Veo listing used for video models. Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Per the Omni guide (written for 1.1 on the same API), the video comes back in the response, inline as base64 or as a Google-hosted file to poll until ACTIVE with delivery uri for outputs over 4 MB (12 of 15). No callback (0 of 10). Resolution, aspect ratio and delivery control output size, and edits run turn by turn through previous_interaction_id without regenerating from scratch (10). No list of past jobs found (0 of 10). Standard Google error statuses on the platform, with FAILED as the only Omni-specific state (12 of 14). No idempotency key, and whether failed generations are billed isn't stated (5 of 20). Only model and input are required, with 720p and 16:9 as defaults, and SDKs in five languages plus the CLI (15). 12 + 0 + 10 + 0 + 12 + 5 + 15 = 54." }, "scores": { "a": 81, "b": 54 } }, { "by": 23, "category": "security", "leads": "fal-video", "name": "Security \u0026 auth", "reasons": { "a": "Keys take one of seven permission presets (API, SERVERLESS, DEPLOY, COMPUTE, BILLING, READONLY, FULL) or a custom permission list, can be limited to named models and can expire after 1 hour to 1 year, since 9 October 2026. Legacy ADMIN and API keys still work. The MCP relay uses OAuth with browser sign-in, and its scopes aren't documented (30). A READONLY preset grants no write access, and model limits narrow a key further. The MCP docs state that the server has no server-side approval gate before a paid generation (15). Returns generated media and fal's own catalogue text (10). Request payloads are kept 30 days in the dashboard history, and usage and analytics APIs report per-request spend (10). `https://fal.ai/.well-known/security.txt` returned 404 on 1 November 2026 and no disclosure policy or bug bounty was found. The enterprise page claims SOC 2 certification, the DPA of 31 July 2026 has a data security exhibit, and the trust centre at trust.fal.ai renders only in a browser, so the report and its scope were unread, per the 8 October check (8).", "b": "Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). The pricing page, read on 11 November, lists no free tier for Omni 1.2 Flash, and paid-tier content isn't used to improve Google's products (15 of 20). Retention of generated videos isn't stated in the guide (5 of 15). Request logs described for Generate Content, not confirmed for Interactions video calls (10 of 15). security.txt and a reward programme, no certification naming the API (5 of 20). Outputs carry a SynthID watermark, and uploads of minors and some recognisable people are refused in the EEA, Switzerland and the UK. 15 + 15 + 5 + 10 + 5 = 50." }, "scores": { "a": 73, "b": 50 } }, { "by": 20, "category": "schema", "leads": "fal-video", "name": "Schema \u0026 documentation", "reasons": { "a": "An OpenAPI 3.1 document for the queue API and one for the platform APIs, and a per-endpoint OpenAPI 3.1 document from the catalogue API with `expand=openapi-3.0`, read for `fal-ai/kling-video/v3/pro/text-to-video` on 1 November 2026 (25). The 8 October reading of per-endpoint documents on fal.ai's `?endpoint_id=` path is struck, because fal.ai's robots.txt disallows that query. A docs llms.txt, Markdown twins of docs pages and an llms.txt per model with schema, defaults and price (10). Model pages state what each model does but rarely when not to use it, and the Seedance 2.5 catalogue text says up to 720p while its schema lists 1080p (12). Inputs are typed with enums, ranges and defaults, but `duration` is a string enum on Kling, a string with a unit on Veo 3.1 and an integer on Wan 3.0, and Kling's rule that one of `prompt` or `multi_prompt` is needed sits in prose with a required example of `{}` (13). Examples in cURL, Python and JavaScript on every model, a model error reference with typed errors such as `content_policy_violation` and `video_duration_too_long`, and a request error reference with 13 types (14). Versioned endpoint IDs and a dated public changelog (15).", "b": "Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Called through the Interactions API, which the platform's Discovery document doesn't type; the SDK's generated Interactions types list the model (10 of 25). llms.txt with Markdown twins (10). The Omni guide, read on 11 November, covers Omni 1.1 Flash on the same API and lists what isn't supported (system instructions, temperature, negative prompts, audio references, YouTube sources) and the regional limits; it doesn't name 1.2 (16 of 20). Aspect ratio (16:9 or 9:16), resolution (360p, 720p, 1080p, 4k) and delivery are enumerated; length is set in the prompt, not a field (10 of 15). REST and SDK examples; a failed generation sets the file state to FAILED, and other error codes aren't documented beyond the platform's page (8 of 15). Dated SDK and platform changelogs (15). 10 + 10 + 16 + 10 + 8 + 15 = 69." }, "scores": { "a": 89, "b": 69 } }, { "by": 8, "category": "transparency", "leads": "gemini-omni-1-2-flash", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed platform with published terms (8 September 2026) and API Services supplemental terms. The clients are MIT and the catalogue marks each model's `license_type`. The terms warrant nothing about rights in output, and a clause bars scripts that integrate with the services without written authorisation, which sits oddly with an API product (13). Data handling is documented and mostly agrees. Request payloads are kept 30 days with an opt-out header and a delete API, the API Services terms say client content isn't used to train or develop fal's products except on models marked Pending Enterprise Ready, and the privacy policy of 22 July 2026 deletes account data 30 days after closure. The terms still let fal use usage data to develop AI models, and content sent to a third-party model goes to that third party (22). Model pages now carry dated deprecation notices, Veo 3.1 and its sub-endpoints on 17 November 2026, Luma Ray 2 on 25 October with a named replacement, and the key docs say presets can be refined. But 31 of 152 text-to-video endpoints are marked deprecated in the catalogue, most without a date, and there is no written policy or changelog entry (12). The DPA names a subprocessor list at trust.fal.ai/subprocessors with 15 days' notice of changes, but that page renders only in a browser, and the privacy policy says processing is in the United States and other countries (10).", "b": "Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Paid only, so content isn't used to improve products; video retention isn't stated (20 of 30). Deprecations table and a dated routing notice for Omni 1.1 Flash (15 of 20). Data may be processed anywhere Google has facilities on the Gemini API route; no subprocessor list checked (5 of 20). SynthID watermarking is disclosed, and Google names the cases it still handles poorly. 15 + 20 + 15 + 5 = 55." }, "scores": { "a": 64, "b": 72 } } ], "facts": [ { "a": "Platform", "b": "Model API", "name": "Kind" }, { "a": "fal (Features \u0026 Labels, Inc.)", "b": "Google", "name": "Vendor" }, { "a": "https://queue.fal.run", "b": "no (local only)", "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": "Closed model, used through the Gemini API and Google Cloud under Google's terms. The google-genai SDKs are Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-29", "b": "2026-11-05", "name": "Last release" }, { "a": "2026-09-08", "b": "2026-04-28", "name": "Terms last updated" }, { "a": "2026-07-22", "b": "2026-10-01", "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": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "187 stars, 1.9M npm/wk, 738k PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3.3/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "fal video models scores 72.2 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on transparency \u0026 trust.", "question": "Which is better for AI agents, fal video models or Gemini Omni 1.2 Flash?" }, { "answer": "fal video models has a hosted endpoint at https://queue.fal.run. No hosted endpoint is listed for Gemini Omni 1.2 Flash.", "question": "Can an agent call fal video models and Gemini Omni 1.2 Flash without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 77 against 45", "Schema \u0026 documentation, 89 against 69", "Agent ergonomics, 81 against 54", "Security \u0026 auth, 73 against 50" ], "also": [ "Agent-ready, a grade of BB or better", "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": [ "Transparency \u0026 trust, 72 against 64" ], "also": null, "goodFor": "Short product, ad and explainer clips with audio where an agent needs to revise a clip over several turns rather than regenerate it.", "slug": "gemini-omni-1-2-flash", "watchFor": "No free tier, per the pricing page" } ], "history": { "fal-video": [ { "causes": [ "method" ], "date": "2026-11-13", "delta": 1.2, "from": 71, "fromGrade": "BB", "to": 72.2, "toGrade": "BB" }, { "causes": [ "product" ], "date": "2026-11-01", "delta": 1.9, "from": 69.1, "fromGrade": "B", "to": 71, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.2, "from": 68.9, "fromGrade": "B", "to": 69.1, "toGrade": "B" } ], "gemini-omni-1-2-flash": [ { "causes": [ "method" ], "date": "2026-11-13", "delta": 1.3, "from": 53.8, "fromGrade": "D", "to": 55.1, "toGrade": "C" } ] }, "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-gemini-omni-1-2-flash.json", "title": "Alibaba Wan (Model Studio) vs Gemini Omni 1.2 Flash", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-gemini-omni-1-2-flash" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-framefields.json", "title": "fal video models vs framefields", "url": "https://www.anchorterminal.com/compare/fal-video-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-magic-hour-mcp.json", "title": "fal video models vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/fal-video-vs-magic-hour-mcp" }, { "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-gemini-omni-1-2-flash.json", "title": "framefields vs Gemini Omni 1.2 Flash", "url": "https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-google-veo.json", "title": "Gemini Omni 1.2 Flash vs Google Veo", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-higgsfield.json", "title": "Gemini Omni 1.2 Flash vs Higgsfield API", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-higgsfield" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-hyperframes.json", "title": "Gemini Omni 1.2 Flash vs HyperFrames", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-hyperframes" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-kling.json", "title": "Gemini Omni 1.2 Flash vs Kling AI API", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-kling" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-luma.json", "title": "Gemini Omni 1.2 Flash vs Luma AI API", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-magic-hour-mcp.json", "title": "Gemini Omni 1.2 Flash vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-minimax-video.json", "title": "Gemini Omni 1.2 Flash vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-openai-sora.json", "title": "Gemini Omni 1.2 Flash vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-pika.json", "title": "Gemini Omni 1.2 Flash vs Pika API", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-pixverse.json", "title": "Gemini Omni 1.2 Flash vs PixVerse API", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-popcraft-mcp.json", "title": "Gemini Omni 1.2 Flash vs Popcraft MCP", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-popcraft-mcp" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-replicate-video.json", "title": "Gemini Omni 1.2 Flash vs Replicate video models", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-runway.json", "title": "Gemini Omni 1.2 Flash vs Runway API", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-seedance-on-byteplus-modelark.json", "title": "Gemini Omni 1.2 Flash vs Seedance on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-seedance-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-vidu.json", "title": "Gemini Omni 1.2 Flash vs Vidu API", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-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-gemini-omni-1-2-flash.json", "title": "Clueso vs Gemini Omni 1.2 Flash", "url": "https://www.anchorterminal.com/compare/clueso-video-vs-gemini-omni-1-2-flash" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp.json", "title": "fal video models vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-sync-labs-mcp.json", "title": "Gemini Omni 1.2 Flash vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-sync-labs-mcp" } ], "panel": null, "scores": [ { "by": 32, "edge": "fal-video", "fal-video": 77, "gemini-omni-1-2-flash": 45, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 20, "edge": "fal-video", "fal-video": 89, "gemini-omni-1-2-flash": 69, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 27, "edge": "fal-video", "fal-video": 81, "gemini-omni-1-2-flash": 54, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 23, "edge": "fal-video", "fal-video": 73, "gemini-omni-1-2-flash": 50, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "fal-video": 30, "gemini-omni-1-2-flash": 30, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "gemini-omni-1-2-flash", "fal-video": 81, "gemini-omni-1-2-flash": 83, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 8, "edge": "gemini-omni-1-2-flash", "fal-video": 64, "gemini-omni-1-2-flash": 72, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "fal video models scores 72.2 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on transparency \u0026 trust. Both do video generation.", "tasks": [ { "a": "$2.40 to $14.19", "b": "$0.69 to $6.27", "cheaper": "gemini-omni-1-2-flash", "task": "Make a 30-second video clip", "what": "30 seconds of generated video" } ], "tutorials": [], "verdicts": { "fal-video": "One key and one queue API reach 121 active text-to-video endpoints, each with a published price and an OpenAPI document, and keys can be limited by permission, model and expiry. 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.", "gemini-omni-1-2-flash": "Google's generally available video model makes clips of up to 15 seconds with audio, edits them turn by turn and upscales drafts to 1080p or 4K, from $0.023 a second at 360p to $0.209 at 4K. It is paid only, the guide still describes Omni 1.1, and every quality claim is Google's." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash", "json": "https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash.min.md" }, "markdown": "fal video models scores 72.2 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on transparency \u0026 trust. Both do video generation.\n\n- fal video models: grade BB, 72.2/100, rank #232 of 1524. Markdown https://www.anchorterminal.com/tools/fal-video.md · JSON https://www.anchorterminal.com/api/v1/tools/fal-video.json\n- Gemini Omni 1.2 Flash: grade C, 55.1/100, rank #972 of 1524. Markdown https://www.anchorterminal.com/tools/gemini-omni-1-2-flash.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-omni-1-2-flash.json\n- Best video generation for AI agents: https://www.anchorterminal.com/best/video-generation/index.md\n- All 203 video comparisons: https://www.anchorterminal.com/compare/video-generation/index.md\n\n## Which one, for what\n\n### fal video models (BB)\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 45\n- Schema \u0026 documentation, 89 against 69\n- Agent ergonomics, 81 against 54\n- Security \u0026 auth, 73 against 50\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\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### Gemini Omni 1.2 Flash (C)\n\nGood for: Short product, ad and explainer clips with audio where an agent needs to revise a clip over several turns rather than regenerate it.\n\nAhead on:\n- Transparency \u0026 trust, 72 against 64\n\nWatch for: No free tier, per the pricing page\n\n\n## Why the edge\n\n### Reliability: fal video models +32\n\n- fal video models (77): Graded as a hosted service on the queue API. Instatus page at status.fal.ai with components for Model API, Serverless API, Official Models and the dashboards, and monthly uptime figures (20). The notice history, re-read on 1 November 2026, has two notices in the 90 days from 3 August, a 30-minute major outage of synchronous calls to `fal.run` on 4 September (the queue wasn't named, so partial) and 18 minutes of degraded performance on 29 September, and none in October (20). Concurrency is published, 2 for a new account rising to 40 self-serve with paid invoices over four weeks, and queued requests are never rejected (15). A 429 carries type `concurrent_requests_limit` and `X-Fal-needs-retry: 1`, the docs give backoff of 1, 2, 4 and 8 seconds, the queue retries 503, 504 and connection errors up to 10 times, and backup domains are documented. There is no idempotency key, and one page says concurrency requeues have no maximum while another says 10 (12). The enterprise page mentions SLA guarantees but no SLA document is published (0). The queue API is generally available (10).\n- Gemini Omni 1.2 Flash (45): Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Platform rate-limit tiers; the public rate-limit page has no Omni 1.2 row (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA read for the Gemini API route, and the Omni guide says provisioned throughput isn't supported there; Google's post puts it on Google Cloud (0). Google's post of 5 November says generally available, and the SDK commit marks the model GA (10). 10 + 5 + 5 + 15 + 0 + 10 = 45.\n\n### Agent ergonomics: fal video models +27\n\n- fal video models (81): Graded on the queue API, with the hosted MCP server noted. Results are small JSON with a file URL, and a model's llms.txt is 6 to 8 KB loaded on demand. The MCP server has 11 tools with schema and pricing lookups (20). The catalogue API takes `category`, `limit` and a cursor, queue status reports position, webhooks replace polling, and most models take duration and resolution, though names and types differ (18). Errors carry a machine-readable `error_type`, the same value in `X-Fal-Error-Type`, and guidance on which to retry (18). No idempotency key. Server-side retries, `X-Fal-No-Retry`, a cancel endpoint and no charge for 5xx failures reduce the cost of a failed call, but a repeated submit is a second billable job, and the MCP docs don't mention readOnlyHint or destructiveHint (10). Few required parameters, and official Python and JavaScript clients plus Swift, Kotlin and Dart (15).\n- Gemini Omni 1.2 Flash (54): Read on the lines the Veo listing used for video models. Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Per the Omni guide (written for 1.1 on the same API), the video comes back in the response, inline as base64 or as a Google-hosted file to poll until ACTIVE with delivery uri for outputs over 4 MB (12 of 15). No callback (0 of 10). Resolution, aspect ratio and delivery control output size, and edits run turn by turn through previous_interaction_id without regenerating from scratch (10). No list of past jobs found (0 of 10). Standard Google error statuses on the platform, with FAILED as the only Omni-specific state (12 of 14). No idempotency key, and whether failed generations are billed isn't stated (5 of 20). Only model and input are required, with 720p and 16:9 as defaults, and SDKs in five languages plus the CLI (15). 12 + 0 + 10 + 0 + 12 + 5 + 15 = 54.\n\n### Security \u0026 auth: fal video models +23\n\n- fal video models (73): Keys take one of seven permission presets (API, SERVERLESS, DEPLOY, COMPUTE, BILLING, READONLY, FULL) or a custom permission list, can be limited to named models and can expire after 1 hour to 1 year, since 9 October 2026. Legacy ADMIN and API keys still work. The MCP relay uses OAuth with browser sign-in, and its scopes aren't documented (30). A READONLY preset grants no write access, and model limits narrow a key further. The MCP docs state that the server has no server-side approval gate before a paid generation (15). Returns generated media and fal's own catalogue text (10). Request payloads are kept 30 days in the dashboard history, and usage and analytics APIs report per-request spend (10). `https://fal.ai/.well-known/security.txt` returned 404 on 1 November 2026 and no disclosure policy or bug bounty was found. The enterprise page claims SOC 2 certification, the DPA of 31 July 2026 has a data security exhibit, and the trust centre at trust.fal.ai renders only in a browser, so the report and its scope were unread, per the 8 October check (8).\n- Gemini Omni 1.2 Flash (50): Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). The pricing page, read on 11 November, lists no free tier for Omni 1.2 Flash, and paid-tier content isn't used to improve Google's products (15 of 20). Retention of generated videos isn't stated in the guide (5 of 15). Request logs described for Generate Content, not confirmed for Interactions video calls (10 of 15). security.txt and a reward programme, no certification naming the API (5 of 20). Outputs carry a SynthID watermark, and uploads of minors and some recognisable people are refused in the EEA, Switzerland and the UK. 15 + 15 + 5 + 10 + 5 = 50.\n\n### Schema \u0026 documentation: fal video models +20\n\n- fal video models (89): An OpenAPI 3.1 document for the queue API and one for the platform APIs, and a per-endpoint OpenAPI 3.1 document from the catalogue API with `expand=openapi-3.0`, read for `fal-ai/kling-video/v3/pro/text-to-video` on 1 November 2026 (25). The 8 October reading of per-endpoint documents on fal.ai's `?endpoint_id=` path is struck, because fal.ai's robots.txt disallows that query. A docs llms.txt, Markdown twins of docs pages and an llms.txt per model with schema, defaults and price (10). Model pages state what each model does but rarely when not to use it, and the Seedance 2.5 catalogue text says up to 720p while its schema lists 1080p (12). Inputs are typed with enums, ranges and defaults, but `duration` is a string enum on Kling, a string with a unit on Veo 3.1 and an integer on Wan 3.0, and Kling's rule that one of `prompt` or `multi_prompt` is needed sits in prose with a required example of `{}` (13). Examples in cURL, Python and JavaScript on every model, a model error reference with typed errors such as `content_policy_violation` and `video_duration_too_long`, and a request error reference with 13 types (14). Versioned endpoint IDs and a dated public changelog (15).\n- Gemini Omni 1.2 Flash (69): Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Called through the Interactions API, which the platform's Discovery document doesn't type; the SDK's generated Interactions types list the model (10 of 25). llms.txt with Markdown twins (10). The Omni guide, read on 11 November, covers Omni 1.1 Flash on the same API and lists what isn't supported (system instructions, temperature, negative prompts, audio references, YouTube sources) and the regional limits; it doesn't name 1.2 (16 of 20). Aspect ratio (16:9 or 9:16), resolution (360p, 720p, 1080p, 4k) and delivery are enumerated; length is set in the prompt, not a field (10 of 15). REST and SDK examples; a failed generation sets the file state to FAILED, and other error codes aren't documented beyond the platform's page (8 of 15). Dated SDK and platform changelogs (15). 10 + 10 + 16 + 10 + 8 + 15 = 69.\n\n### Transparency \u0026 trust: Gemini Omni 1.2 Flash +8\n\n- fal video models (64): Closed platform with published terms (8 September 2026) and API Services supplemental terms. The clients are MIT and the catalogue marks each model's `license_type`. The terms warrant nothing about rights in output, and a clause bars scripts that integrate with the services without written authorisation, which sits oddly with an API product (13). Data handling is documented and mostly agrees. Request payloads are kept 30 days with an opt-out header and a delete API, the API Services terms say client content isn't used to train or develop fal's products except on models marked Pending Enterprise Ready, and the privacy policy of 22 July 2026 deletes account data 30 days after closure. The terms still let fal use usage data to develop AI models, and content sent to a third-party model goes to that third party (22). Model pages now carry dated deprecation notices, Veo 3.1 and its sub-endpoints on 17 November 2026, Luma Ray 2 on 25 October with a named replacement, and the key docs say presets can be refined. But 31 of 152 text-to-video endpoints are marked deprecated in the catalogue, most without a date, and there is no written policy or changelog entry (12). The DPA names a subprocessor list at trust.fal.ai/subprocessors with 15 days' notice of changes, but that page renders only in a browser, and the privacy policy says processing is in the United States and other countries (10).\n- Gemini Omni 1.2 Flash (72): Model reading for gemini-omni-1.2-flash on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Paid only, so content isn't used to improve products; video retention isn't stated (20 of 30). Deprecations table and a dated routing notice for Omni 1.1 Flash (15 of 20). Data may be processed anywhere Google has facilities on the Gemini API route; no subprocessor list checked (5 of 20). SynthID watermarking is disclosed, and Google names the cases it still handles poorly. 15 + 20 + 15 + 5 = 55.\n\n## Score by category\n\n| Category | Weight | fal video models | Gemini Omni 1.2 Flash | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 77 | 45 | fal video models +32 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 69 | fal video models +20 |\n| Agent ergonomics | 13% (16.2 this run) | 81 | 54 | fal video models +27 |\n| Security \u0026 auth | 14% (17.5 this run) | 73 | 50 | fal video models +23 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 30 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 81 | 83 | Gemini Omni 1.2 Flash +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 72 | Gemini Omni 1.2 Flash +8 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **72.2 · BB** | **55.1 · C** | |\n\n## Facts side by side\n\n| Fact | fal video models | Gemini Omni 1.2 Flash |\n| --- | --- | --- |\n| Kind | Platform | Model API |\n| Vendor | fal (Features \u0026 Labels, Inc.) | Google |\n| Hosted endpoint | `https://queue.fal.run` | no (local only) |\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 | Closed model, used through the Gemini API and Google Cloud under Google's terms. The google-genai SDKs are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-29 | 2026-11-05 |\n| Terms last updated | 2026-09-08 | 2026-04-28 |\n| Privacy policy last updated | 2026-07-22 | 2026-10-01 |\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 | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 187 stars, 1.9M npm/wk, 738k PyPI/wk | none |\n| Agent reviews | 3.3/5 (4) | none |\n\n## What the same task costs\n\n| Task | fal video models | Gemini Omni 1.2 Flash |\n| --- | --- | --- |\n| Make a 30-second video clip | $2.40 to $14.19 | $0.69 to $6.27 |\n\n## How the scores have moved\n\n### fal video models\n\n- +1.2 on 13 November 2026: checklist\n- +1.9 on 1 November 2026 (B to BB): product\n- +0.2 on 27 October 2026: checklist\n\n### Gemini Omni 1.2 Flash\n\n- +1.3 on 13 November 2026 (D to C): checklist\n\n## Verdicts\n\n**fal video models.** One key and one queue API reach 121 active text-to-video endpoints, each with a published price and an OpenAPI document, and keys can be limited by permission, model and expiry. 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**Gemini Omni 1.2 Flash.** Google's generally available video model makes clips of up to 15 seconds with audio, edits them turn by turn and upscales drafts to 1080p or 4K, from $0.023 a second at 360p to $0.209 at 4K. It is paid only, the guide still describes Omni 1.1, and every quality claim is Google's.\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` and the model page's notice before pinning an endpoint. Veo 3.1 is deprecated on 17 November 2026\n5. Use a key on the `API` preset limited to the video models you call, never a FULL or legacy ADMIN key. A new account runs 2 requests at once\n6. The MCP relay has no server-side approval gate. Call `get_pricing` and get the owner's approval before `submit_job`\n\n### Gemini Omni 1.2 Flash\n\n1. Call POST /v1beta/interactions with model gemini-omni-1.2-flash and response_format type video; Veo is gone from the Gemini API\n2. Set delivery to uri for clips over 4 MB and poll the file until ACTIVE; a later GET returns base64 only\n3. Edit with previous_interaction_id and leave store on, or the clip can't be edited in a later turn\n4. Set length in the prompt with timecodes such as [0-3s]; there is no duration field\n5. Draft at 360p or 720p and upscale only the keepers: 4K costs about nine times 360p\n\n## Questions\n\n### Which is better for AI agents, fal video models or Gemini Omni 1.2 Flash?\n\nfal video models scores 72.2 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 4 of 7 scored categories. Gemini Omni 1.2 Flash leads on transparency \u0026 trust.\n\n### Can an agent call fal video models and Gemini Omni 1.2 Flash without installing anything?\n\nfal video models has a hosted endpoint at https://queue.fal.run. No hosted endpoint is listed for Gemini Omni 1.2 Flash.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fal-video\", \"b\": \"gemini-omni-1-2-flash\"}`. From a terminal: `anchor compare fal-video gemini-omni-1-2-flash`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fal-video.json and https://www.anchorterminal.com/api/v1/tools/gemini-omni-1-2-flash.json\n\n## Other comparisons with fal video models or Gemini Omni 1.2 Flash\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 Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/alibaba-wan-vs-gemini-omni-1-2-flash.md)\n- [fal video models vs framefields](https://www.anchorterminal.com/compare/fal-video-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 Magic Hour MCP](https://www.anchorterminal.com/compare/fal-video-vs-magic-hour-mcp.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 Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash.md)\n- [Gemini Omni 1.2 Flash vs Google Veo](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-google-veo.md)\n- [Gemini Omni 1.2 Flash vs Higgsfield API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-higgsfield.md)\n- [Gemini Omni 1.2 Flash vs HyperFrames](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-hyperframes.md)\n- [Gemini Omni 1.2 Flash vs Kling AI API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-kling.md)\n- [Gemini Omni 1.2 Flash vs Luma AI API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-luma.md)\n- [Gemini Omni 1.2 Flash vs Magic Hour MCP](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-magic-hour-mcp.md)\n- [Gemini Omni 1.2 Flash vs MiniMax Video API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-minimax-video.md)\n- [Gemini Omni 1.2 Flash vs OpenAI Sora API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-openai-sora.md)\n- [Gemini Omni 1.2 Flash vs Pika API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-pika.md)\n- [Gemini Omni 1.2 Flash vs PixVerse API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-pixverse.md)\n- [Gemini Omni 1.2 Flash vs Popcraft MCP](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-popcraft-mcp.md)\n- [Gemini Omni 1.2 Flash vs Replicate video models](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-replicate-video.md)\n- [Gemini Omni 1.2 Flash vs Runway API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-runway.md)\n- [Gemini Omni 1.2 Flash vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-seedance-on-byteplus-modelark.md)\n- [Gemini Omni 1.2 Flash vs Vidu API](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-vidu.md)\n- [Clueso vs fal video models](https://www.anchorterminal.com/compare/clueso-video-vs-fal-video.md)\n- [Clueso vs Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/clueso-video-vs-gemini-omni-1-2-flash.md)\n- [fal video models vs sync. labs MCP server](https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp.md)\n- [Gemini Omni 1.2 Flash vs sync. labs MCP server](https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-sync-labs-mcp.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-14", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.8", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "fal video models vs Gemini Omni 1.2 Flash", "url": "" } ], "description": "fal video models scores 72.2 (BB) to Gemini Omni 1.2 Flash's 55.1 (C) for video generation. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "fal video models BB 72.2", "Gemini Omni 1.2 Flash C 55.1", "scores" ], "h1": "fal video models vs Gemini Omni 1.2 Flash", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/fal-video-vs-gemini-omni-1-2-flash", "published": "2026-10-01", "section": "tools", "title": "fal video models vs Gemini Omni 1.2 Flash for AI agents (2026)", "toc": null, "updated": "2026-11-13", "url": "https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash" }, "tokens": { "markdown": 5800, "slim": 1030 }, "version": 1 }