{ "data": { "a": { "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" } }, "answer": "Google Veo scores 70.6 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 5 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community.", "b": { "slug": "google-veo", "name": "Google Veo", "vendor": "Google", "vendorUrl": "https://ai.google.dev", "kind": "model", "category": "video-generation", "summary": "Google's Veo video models with native audio, through Vertex AI (Gemini Enterprise Agent Platform). The Gemini API's Veo models shut down by 22 October 2026.", "url": "https://www.anchorterminal.com/tools/google-veo", "markdownUrl": "https://www.anchorterminal.com/tools/google-veo.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/google-veo.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/google-veo.json", "dns": "google-veo.grade.anchorterminal.com", "repo": "https://github.com/googleapis/python-genai", "license": "Apache-2.0 (SDKs)", "transports": [ "http" ], "remoteUrl": "https://us-central1-aiplatform.googleapis.com/v1", "packages": [ { "registry": "pypi", "name": "google-genai" }, { "registry": "npm", "name": "@google/genai" } ], "auth": "api-key", "authNotes": "Google Cloud OAuth (service account or gcloud token) with IAM on Vertex AI. Google's OAuth guide and the Vertex AI discovery document also document an `access_token` query parameter. The Gemini API route with an AI Studio key no longer serves Veo.", "pricing": "usage", "pricingNotes": "No free tier for Veo. Vertex AI bills per count of generated video. Veo 3.1 with audio $0.40 at 720p and 1080p, $0.60 at 4K, or $0.20 and $0.40 without audio. Veo 3.1 Fast with audio $0.10 at 720p, $0.12 at 1080p, $0.30 at 4K. Veo 3.1 Lite with audio $0.05 at 720p and $0.08 at 1080p, or $0.03 and $0.05 without audio (https://cloud.google.com/model-garden/pricing).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No machine payment. Needs billing on a Google Cloud project (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/veo/3-1-generate", "rateLimitsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/quotas", "llmsTxt": "https://aistudio.google.com/llms.txt", "capabilities": [ "video.generate", "video.image-to-video", "video.audio", "video.extend" ], "tags": [ "official", "hosted", "closed-source", "card-required", "llms-txt", "async-jobs", "python", "typescript", "watermark" ], "lastRelease": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 70.6, "grade": "BB", "agentReady": true, "rank": 290, "ranked": true, "rankOf": 1524, "categoryRank": 2, "methodology": "0.8", "run": "2026-10-01", "scores": { "ergonomics": 64, "maintenance": 77, "payments": 30, "reliability": 87, "schema": 71, "security": 80, "transparency": 77 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "negative": 0, "verdict": "Veo now runs only on Vertex AI, where Veo 3.1 and 3.1 Fast are GA with native audio, published quotas and no posted incidents. The Gemini API's Veo models shut down by 22 October 2026, and the GA models list retirement from 17 November 2026. There is no free tier and no SLA for the Veo call.", "bestFor": "Teams already on Google Cloud who want GA video with sound, in us-central1, and can plan for a retirement date from 17 November 2026.", "strengths": [ "Veo 3.1 and 3.1 Fast are GA on Vertex AI, with native audio and up to 4K", "Google Cloud's status dashboard tracks Veo as its own product, with no incident posted", "50 requests a minute per base model and backoff guidance for 429s are published", "Data Access audit logs and IAM roles on Vertex AI, with ISO/IEC 27001 naming the platform", "Lite at $0.05 for 720p with audio, $0.03 without, in preview" ], "weaknesses": [ "Every Veo model on the Gemini API shut down by 22 October 2026", "The GA Veo 3.1 models list a retirement date of 17 November 2026 or later", "The API reads an OAuth token from the URL query string", "No free tier, and the Veo call isn't covered by Google's SLA", "us-central1 is the only region" ], "agentNotes": [ "Call Veo on Vertex AI with veo-3.1-generate-001 or veo-3.1-fast-generate-001; the Gemini API's veo-3.1-*-preview IDs shut down on 22 October 2026", "Check the model page before relying on Veo after 17 November 2026, its earliest listed retirement date, or plan a move to gemini-omni-1.1-flash", "Send the OAuth token in the Authorization header, never as the documented `?access_token=` query parameter", "Poll the returned operation about every 10 seconds; jobs take 11 seconds to 6 minutes at peak", "On a 429, back off with truncated exponential retries; Veo has a fixed quota of 50 requests a minute per base model in us-central1" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.8", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70.6 } ], "editorialScores": { "ergonomics": 64, "maintenance": 77, "payments": 30, "reliability": 87, "schema": 71, "security": 80, "transparency": 65 }, "provenanceScore": 89, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "lastMoved": "2026-11-13", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install google-genai # or: npm i @google/genai, with vertexai enabled", "http": "curl -X POST \"https://us-central1-aiplatform.googleapis.com/v1/projects/$PROJECT_ID/locations/us-central1/publishers/google/models/veo-3.1-generate-001:predictLongRunning\" \\\n -H \"Authorization: Bearer $(gcloud auth print-access-token)\" -H \"Content-Type: application/json\" \\\n -d '{\"instances\":[{\"prompt\":\"a paper boat drifting down a rainy street\"}]}'" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/google-veo" }, "sameCompany": [ "gemini-4-carbon", "gemini-4-hydrogen", "gemini-api", "vertex-ai", "embeddinggemma-2", "embeddinggemma-300m", "gemini-embedding", "vertex-ai-tuning", "cloud-run-gpus", "google-model-armor", "shieldgemma", "google-imagen", "gemini-omni-1-2-flash", "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" ], "area": "content", "unitPrices": [ { "item": "Veo 3.1 720p or 1080p", "unit": "video-second", "usd": 0.4, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 4K", "unit": "video-second", "usd": 0.6, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 Fast 720p", "unit": "video-second", "usd": 0.1, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 Fast 1080p", "unit": "video-second", "usd": 0.12, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 Fast 4K", "unit": "video-second", "usd": 0.3, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 Lite 720p", "unit": "video-second", "usd": 0.05, "note": "with audio, Vertex AI (preview)" }, { "item": "Veo 3.1 Lite 1080p", "unit": "video-second", "usd": 0.08, "note": "with audio, Vertex AI (preview)" } ], "provenance": { "legalEntity": "Google LLC", "domain": "google.com", "domainRegistered": "1997-09-15", "endpointOnVendorDomain": true, "terms": "https://ai.google.dev/gemini-api/terms", "privacy": "https://policies.google.com/privacy", "statusPage": "https://status.cloud.google.com/products/p5rCvyraXdeC6HFE8XJJ/history", "changelog": "https://aistudio.google.com/docs/changelog", "securityTxt": "valid", "checked": "2026-11-04", "notes": [ "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997", "Vertex AI is now called Gemini Enterprise Agent Platform in Google's docs", "The Gemini API docs moved from ai.google.dev to aistudio.google.com by 4 November 2026; the terms URL redirects there" ], "score": 89 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/google-veo.json", "live": { "slug": "google-veo", "probe": { "target": "https://us-central1-aiplatform.googleapis.com/v1", "method": "get", "lastAt": "2026-11-14T00:10:01.313613402Z", "lastOk": true, "lastStatus": 404, "lastMs": 614, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 614, "p95ms24h": 716, "samples24h": 239, "samples30d": 7646, "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": 2, "ok": 2 } ], "since": "2026-10-08T00:00:00Z" }, "vendorStatus": { "page": "https://status.cloud.google.com/products/p5rCvyraXdeC6HFE8XJJ/history", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-13T23:54:33.526146315Z" }, "versions": [ { "registry": "github", "name": "googleapis/python-genai", "version": "v3.3.0", "released": "2026-11-12", "seenAt": "2026-11-13T08:39:19.059028549Z" }, { "registry": "npm", "name": "@google/genai", "version": "3.3.0", "seenAt": "2026-11-13T08:39:18.842774201Z" }, { "registry": "pypi", "name": "google-genai", "version": "3.3.0", "released": "2026-11-12", "seenAt": "2026-11-13T08:39:18.727711255Z" } ], "githubStars": 4066, "npmWeekly": 30303311, "pypiWeekly": 38621828, "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://aistudio.google.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-13T15:54:30.3021032Z" }, "domain": { "domain": "google.com", "registered": "1997-09-15", "source": "https://rdap.verisign.com/com/v1/domain/google.com", "checkedAt": "2026-11-08T15:01:59.545325134Z" }, "pages": [ { "url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/veo/3-1-generate", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-13T18:15:38.560890819Z", "changedAt": "2026-11-10T16:16:15.005388558Z", "fingerprint": "446265674c4d" }, { "url": "https://cloud.google.com/model-garden/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-13T18:11:21.2393492Z", "changedAt": "2026-11-13T18:11:21.2393492Z", "fingerprint": "d95c1f03351f" } ], "github": { "repo": "googleapis/python-genai", "checkedAt": "2026-11-09T09:47:04.856295504Z", "stars": 4058, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-08T20:32:42Z", "openIssues": 224, "openPRs": 170, "issuesOpened90d": 83, "issuesClosed90d": 49, "prsMerged90d": 219, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-11-06T02:02:46Z" }, "replies": { "sampled": 25, "unanswered": 9, "medianDays": 2.6 } }, "updatedAt": "2026-11-14T00:10:01.313613402Z" }, "streak": { "days": 23, "from": "2026-10-22", "last": { "kind": "shutdown", "date": "2026-10-22", "what": "`veo-3.1-generate-preview`, `veo-3.1-fast-generate-preview` and `veo-3.1-lite-generate-preview` shut down, replacement `gemini-omni-1.1-flash`", "source": "https://ai.google.dev/gemini-api/docs/deprecations" }, "next": { "kind": "shutdown", "date": "2026-11-17", "what": "`veo-3.1-generate-001` and `veo-3.1-fast-generate-001` on Vertex AI, earliest retirement ('November 17, 2026 or later')", "source": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/veo/3-1-generate" }, "best": 23 } }, "edges": [ { "by": 42, "category": "reliability", "leads": "google-veo", "name": "Reliability", "reasons": { "a": "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.", "b": "Graded on Vertex AI (Gemini Enterprise Agent Platform), the route the listing names that still serves Veo, since every Veo model on the Gemini API shut down by 22 October 2026. Google Cloud's status dashboard lists Veo on Agent Platform as its own product with a history page (20). That page reads 'No incidents reported' on 4 November 2026, and the dashboard posts incidents for other products, so a clean record (30). The 1 October readings of the AI Studio page and a third-party monitor are dropped (the monitor is a barred copy of a status page). The Veo 3.1 model page publishes 50 regional online prediction requests a minute per base model in us-central1 (15). The Agent Platform error 429 page gives truncated exponential backoff, quota increase requests and traffic smoothing. A Veo request starts a billed generation job and no idempotency key is documented, so backoff guidance without keys, as runway and fal-video read their video job APIs (12). The Gemini online inference SLA, last modified 30 June 2026 and re-read on 4 November, covers only generateContent and streamGenerateContent, not the predictLongRunning call Veo uses (0). veo-3.1-generate-001 and veo-3.1-fast-generate-001 are GA, Lite is preview (10). 20 + 30 + 15 + 12 + 0 + 10 = 87." }, "scores": { "a": 45, "b": 87 } }, { "by": 30, "category": "security", "leads": "google-veo", "name": "Security \u0026 auth", "reasons": { "a": "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.", "b": "Model reading of the checklist (credential, training, retention, operator visibility, programme), on the Vertex AI route. Vertex AI uses Google Cloud OAuth with IAM roles (30), less 10 because the API reads a token from the URL. Google's OAuth 2.0 web-server guide (last updated 30 October 2026) says to call a Google API with 'either an access_token query parameter or an Authorization HTTP header Bearer value', and the Vertex AI v1 discovery document (revision 20261028, as published in Google's google-api-python-client repository) lists `access_token`, `oauth_token` and `key` as query parameters, the deduction Google APIs took on 17 October and 1 November (20 of 30). Prompts and responses on paid services aren't used to improve products, per the 1 October reading of the terms, not re-read on 4 November (20). Retention for Veo jobs on Vertex AI wasn't read on 4 November. The 1 October reading (videos kept 2 days, abuse-log period not stated, no deletion call) holds the line (5 of 15). Data Access audit logs record reads and writes to model endpoints once enabled, per the Agent Platform page last updated 3 November 2026, as the Gemini Embedding listing credits Cloud Audit Logs on Vertex AI (15). security.txt valid to 2030 with Google's vulnerability reward programme, per the 1 October check (10). ISO/IEC 27001 scope, re-read on 4 November, names Generative AI on Gemini Enterprise Agent Platform, the route graded (10). 20 + 20 + 5 + 15 + 20 = 80." }, "scores": { "a": 50, "b": 80 } }, { "by": 10, "category": "ergonomics", "leads": "google-veo", "name": "Agent ergonomics", "reasons": { "a": "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.", "b": "Per the 1 October check, read from the Veo guide, which uses the same request on both routes. The create call returns a small operation object to poll (15). No callback, and the docs say poll every 10 seconds (0 of 10). Resolution, duration and aspect ratio control output size (10). No list of past jobs (0 of 10). Standard Google error statuses such as INVALID_ARGUMENT and RESOURCE_EXHAUSTED that an agent can branch on (14). No idempotency key, and the 1 October reading found only generated videos billed (10). Only the prompt is required, defaults are 720p, 16:9 and 8 seconds, and official SDKs exist for Python, JavaScript, Go and Java (15). Vertex AI's own API reference for Veo wasn't read on 4 November." }, "scores": { "a": 54, "b": 64 } }, { "by": 6, "category": "maintenance", "leads": "gemini-omni-1-2-flash", "name": "Maintenance \u0026 community", "reasons": { "a": "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. Released and generally available on 5 November 2026; the SDKs added it to the Interactions model list on 10 November (30). Deprecations with earliest dates and no stated minimum notice (4 of 12). Churn in Google's video line: every Veo model on the Gemini API shut down by 22 October, and from 3 December 2026 requests to Omni 1.1 Flash are routed to 1.2 Flash and billed at its rates, four weeks after this release (4 of 8). Dated SDK and platform changelogs (15). SDK replies not sampled (5 of 10). Current SDKs in five languages (15). Runtimes stated (10). 30 + 4 + 4 + 15 + 5 + 15 + 10 = 83.", "b": "Model reading. The google-genai SDK, which runs Veo on Vertex AI, tagged 2.34.0 on 29 October 2026 after weekly tags through October (30). Heavy churn. Veo 2.0 and 3.0 shut down on the Gemini API on 30 June 2026 and all three Veo 3.1 previews on 22 October 2026, with release and shutdown dates published but no notice period stated for previews, and the GA Veo 3.1 models on Vertex AI carry a retirement date of 'November 17, 2026 or later' (10). Dated changelog with entries through 2 November 2026, and a developer forum (12). Current official SDKs (15). SDK repositories on GitHub under googleapis with CI (10). An unreleased python-genai commit of 30 October disables generate_videos for the Gemini API client." }, "scores": { "a": 83, "b": 77 } }, { "by": 5, "category": "transparency", "leads": "google-veo", "name": "Transparency \u0026 trust", "reasons": { "a": "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.", "b": "Closed models under Google's terms, which say Google won't claim ownership of generated content. SDKs are Apache 2.0 (15). The terms state the paid and unpaid data use (10). Video retention is stated (2 days on the Gemini API), the abuse-log period isn't (5). The terms, pricing page and Veo guide agree, and we didn't read the DPA (5), per the 1 October check. The deprecations page gives release and shutdown dates for every Gemini API Veo ID and names replacements, and the Agent Platform model page dates each GA model's retirement (20). The Agent Platform model page names us-central1 as the only region and lists data residency, CMEK and VPC-SC controls. We didn't check subprocessors (10)." }, "scores": { "a": 72, "b": 77 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Google", "b": "Google", "name": "Vendor" }, { "a": "no (local only)", "b": "https://us-central1-aiplatform.googleapis.com/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Closed model, used through the Gemini API and Google Cloud under Google's terms. The google-genai SDKs are Apache-2.0", "b": "Apache-2.0 (SDKs)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-11-05", "b": "2026-10-29", "name": "Last release" }, { "a": "2026-04-28", "b": "2026-04-28", "name": "Terms last updated" }, { "a": "2026-10-01", "b": "2026-10-01", "name": "Privacy policy last updated" }, { "a": "yes", "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": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "4k stars", "name": "Popularity" }, { "a": "none", "b": "2.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Google Veo scores 70.6 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 5 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community.", "question": "Which is better for AI agents, Gemini Omni 1.2 Flash or Google Veo?" }, { "answer": "Both need an API key.", "question": "Do Gemini Omni 1.2 Flash and Google Veo need an API key?" }, { "answer": "No hosted endpoint is listed for Gemini Omni 1.2 Flash. Google Veo has a hosted endpoint at https://us-central1-aiplatform.googleapis.com/v1.", "question": "Can an agent call Gemini Omni 1.2 Flash and Google Veo without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Maintenance \u0026 community, 83 against 77" ], "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" }, { "aheadOn": [ "Reliability, 87 against 45", "Agent ergonomics, 64 against 54", "Security \u0026 auth, 80 against 50", "Transparency \u0026 trust, 77 against 72" ], "also": [ "Agent-ready, a grade of BB or better", "A hosted endpoint, with nothing to install" ], "goodFor": "Teams already on Google Cloud who want GA video with sound, in us-central1, and can plan for a retirement date from 17 November 2026.", "slug": "google-veo", "watchFor": "Every Veo model on the Gemini API shut down by 22 October 2026" } ], "history": { "gemini-omni-1-2-flash": [ { "causes": [ "method" ], "date": "2026-11-13", "delta": 1.3, "from": 53.8, "fromGrade": "D", "to": 55.1, "toGrade": "C" } ], "google-veo": [ { "causes": [ "method" ], "date": "2026-11-13", "delta": 1.3, "from": 69.3, "fromGrade": "B", "to": 70.6, "toGrade": "BB" }, { "causes": [ "product" ], "date": "2026-11-04", "delta": 8.9, "from": 60.4, "fromGrade": "C", "to": 69.3, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.4, "from": 60.8, "fromGrade": "C", "to": 60.4, "toGrade": "C" } ] }, "job": { "capability": "video.generate", "name": "Video generation" }, "others": [ { "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/alibaba-wan-vs-google-veo.json", "title": "Alibaba Wan (Model Studio) vs Google Veo", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash.json", "title": "fal video models vs Gemini Omni 1.2 Flash", "url": "https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash" }, { "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/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/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/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/google-veo-vs-higgsfield.json", "title": "Google Veo vs Higgsfield API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-hyperframes.json", "title": "Google Veo vs HyperFrames", "url": "https://www.anchorterminal.com/compare/google-veo-vs-hyperframes" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-kling.json", "title": "Google Veo vs Kling AI API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-kling" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-luma.json", "title": "Google Veo vs Luma AI API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp.json", "title": "Google Veo vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-minimax-video.json", "title": "Google Veo vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-openai-sora.json", "title": "Google Veo vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-pika.json", "title": "Google Veo vs Pika API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-pixverse.json", "title": "Google Veo vs PixVerse API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-popcraft-mcp.json", "title": "Google Veo vs Popcraft MCP", "url": "https://www.anchorterminal.com/compare/google-veo-vs-popcraft-mcp" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.json", "title": "Google Veo vs Replicate video models", "url": "https://www.anchorterminal.com/compare/google-veo-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-runway.json", "title": "Google Veo vs Runway API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-seedance-on-byteplus-modelark.json", "title": "Google Veo vs Seedance on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/google-veo-vs-seedance-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-vidu.json", "title": "Google Veo vs Vidu API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-vidu" }, { "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/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" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-sync-labs-mcp.json", "title": "Google Veo vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/google-veo-vs-sync-labs-mcp" } ], "panel": null, "scores": [ { "by": 42, "edge": "google-veo", "gemini-omni-1-2-flash": 45, "google-veo": 87, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "edge": "google-veo", "gemini-omni-1-2-flash": 69, "google-veo": 71, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 10, "edge": "google-veo", "gemini-omni-1-2-flash": 54, "google-veo": 64, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 30, "edge": "google-veo", "gemini-omni-1-2-flash": 50, "google-veo": 80, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "gemini-omni-1-2-flash": 30, "google-veo": 30, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 6, "edge": "gemini-omni-1-2-flash", "gemini-omni-1-2-flash": 83, "google-veo": 77, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 5, "edge": "google-veo", "gemini-omni-1-2-flash": 72, "google-veo": 77, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Google Veo scores 70.6 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 5 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community. Both do video generation.", "tasks": [ { "a": "$0.69 to $6.27", "b": "$1.50 to $18.00", "cheaper": "gemini-omni-1-2-flash", "task": "Make a 30-second video clip", "what": "30 seconds of generated video" } ], "tutorials": [], "verdicts": { "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.", "google-veo": "Veo now runs only on Vertex AI, where Veo 3.1 and 3.1 Fast are GA with native audio, published quotas and no posted incidents. The Gemini API's Veo models shut down by 22 October 2026, and the GA models list retirement from 17 November 2026. There is no free tier and no SLA for the Veo call." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "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-google-veo.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-google-veo.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-google-veo.min.md" }, "markdown": "Google Veo scores 70.6 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 5 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community. Both do video generation.\n\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- Google Veo: grade BB, 70.6/100, rank #290 of 1524. Markdown https://www.anchorterminal.com/tools/google-veo.md · JSON https://www.anchorterminal.com/api/v1/tools/google-veo.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### 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- Maintenance \u0026 community, 83 against 77\n\nWatch for: No free tier, per the pricing page\n\n### Google Veo (BB)\n\nGood for: Teams already on Google Cloud who want GA video with sound, in us-central1, and can plan for a retirement date from 17 November 2026.\n\nAhead on:\n- Reliability, 87 against 45\n- Agent ergonomics, 64 against 54\n- Security \u0026 auth, 80 against 50\n- Transparency \u0026 trust, 77 against 72\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: Every Veo model on the Gemini API shut down by 22 October 2026\n\n\n## Why the edge\n\n### Reliability: Google Veo +42\n\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- Google Veo (87): Graded on Vertex AI (Gemini Enterprise Agent Platform), the route the listing names that still serves Veo, since every Veo model on the Gemini API shut down by 22 October 2026. Google Cloud's status dashboard lists Veo on Agent Platform as its own product with a history page (20). That page reads 'No incidents reported' on 4 November 2026, and the dashboard posts incidents for other products, so a clean record (30). The 1 October readings of the AI Studio page and a third-party monitor are dropped (the monitor is a barred copy of a status page). The Veo 3.1 model page publishes 50 regional online prediction requests a minute per base model in us-central1 (15). The Agent Platform error 429 page gives truncated exponential backoff, quota increase requests and traffic smoothing. A Veo request starts a billed generation job and no idempotency key is documented, so backoff guidance without keys, as runway and fal-video read their video job APIs (12). The Gemini online inference SLA, last modified 30 June 2026 and re-read on 4 November, covers only generateContent and streamGenerateContent, not the predictLongRunning call Veo uses (0). veo-3.1-generate-001 and veo-3.1-fast-generate-001 are GA, Lite is preview (10). 20 + 30 + 15 + 12 + 0 + 10 = 87.\n\n### Security \u0026 auth: Google Veo +30\n\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- Google Veo (80): Model reading of the checklist (credential, training, retention, operator visibility, programme), on the Vertex AI route. Vertex AI uses Google Cloud OAuth with IAM roles (30), less 10 because the API reads a token from the URL. Google's OAuth 2.0 web-server guide (last updated 30 October 2026) says to call a Google API with 'either an access_token query parameter or an Authorization HTTP header Bearer value', and the Vertex AI v1 discovery document (revision 20261028, as published in Google's google-api-python-client repository) lists `access_token`, `oauth_token` and `key` as query parameters, the deduction Google APIs took on 17 October and 1 November (20 of 30). Prompts and responses on paid services aren't used to improve products, per the 1 October reading of the terms, not re-read on 4 November (20). Retention for Veo jobs on Vertex AI wasn't read on 4 November. The 1 October reading (videos kept 2 days, abuse-log period not stated, no deletion call) holds the line (5 of 15). Data Access audit logs record reads and writes to model endpoints once enabled, per the Agent Platform page last updated 3 November 2026, as the Gemini Embedding listing credits Cloud Audit Logs on Vertex AI (15). security.txt valid to 2030 with Google's vulnerability reward programme, per the 1 October check (10). ISO/IEC 27001 scope, re-read on 4 November, names Generative AI on Gemini Enterprise Agent Platform, the route graded (10). 20 + 20 + 5 + 15 + 20 = 80.\n\n### Agent ergonomics: Google Veo +10\n\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- Google Veo (64): Per the 1 October check, read from the Veo guide, which uses the same request on both routes. The create call returns a small operation object to poll (15). No callback, and the docs say poll every 10 seconds (0 of 10). Resolution, duration and aspect ratio control output size (10). No list of past jobs (0 of 10). Standard Google error statuses such as INVALID_ARGUMENT and RESOURCE_EXHAUSTED that an agent can branch on (14). No idempotency key, and the 1 October reading found only generated videos billed (10). Only the prompt is required, defaults are 720p, 16:9 and 8 seconds, and official SDKs exist for Python, JavaScript, Go and Java (15). Vertex AI's own API reference for Veo wasn't read on 4 November.\n\n### Maintenance \u0026 community: Gemini Omni 1.2 Flash +6\n\n- Gemini Omni 1.2 Flash (83): 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. Released and generally available on 5 November 2026; the SDKs added it to the Interactions model list on 10 November (30). Deprecations with earliest dates and no stated minimum notice (4 of 12). Churn in Google's video line: every Veo model on the Gemini API shut down by 22 October, and from 3 December 2026 requests to Omni 1.1 Flash are routed to 1.2 Flash and billed at its rates, four weeks after this release (4 of 8). Dated SDK and platform changelogs (15). SDK replies not sampled (5 of 10). Current SDKs in five languages (15). Runtimes stated (10). 30 + 4 + 4 + 15 + 5 + 15 + 10 = 83.\n- Google Veo (77): Model reading. The google-genai SDK, which runs Veo on Vertex AI, tagged 2.34.0 on 29 October 2026 after weekly tags through October (30). Heavy churn. Veo 2.0 and 3.0 shut down on the Gemini API on 30 June 2026 and all three Veo 3.1 previews on 22 October 2026, with release and shutdown dates published but no notice period stated for previews, and the GA Veo 3.1 models on Vertex AI carry a retirement date of 'November 17, 2026 or later' (10). Dated changelog with entries through 2 November 2026, and a developer forum (12). Current official SDKs (15). SDK repositories on GitHub under googleapis with CI (10). An unreleased python-genai commit of 30 October disables generate_videos for the Gemini API client.\n\n### Transparency \u0026 trust: Google Veo +5\n\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- Google Veo (77): Closed models under Google's terms, which say Google won't claim ownership of generated content. SDKs are Apache 2.0 (15). The terms state the paid and unpaid data use (10). Video retention is stated (2 days on the Gemini API), the abuse-log period isn't (5). The terms, pricing page and Veo guide agree, and we didn't read the DPA (5), per the 1 October check. The deprecations page gives release and shutdown dates for every Gemini API Veo ID and names replacements, and the Agent Platform model page dates each GA model's retirement (20). The Agent Platform model page names us-central1 as the only region and lists data residency, CMEK and VPC-SC controls. We didn't check subprocessors (10).\n\n## Score by category\n\n| Category | Weight | Gemini Omni 1.2 Flash | Google Veo | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 87 | Google Veo +42 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 69 | 71 | Google Veo +2 |\n| Agent ergonomics | 13% (16.2 this run) | 54 | 64 | Google Veo +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 80 | Google Veo +30 |\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) | 83 | 77 | Gemini Omni 1.2 Flash +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 77 | Google Veo +5 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.1 · C** | **70.6 · BB** | |\n\n## Facts side by side\n\n| Fact | Gemini Omni 1.2 Flash | Google Veo |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Google | Google |\n| Hosted endpoint | no (local only) | `https://us-central1-aiplatform.googleapis.com/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Closed model, used through the Gemini API and Google Cloud under Google's terms. The google-genai SDKs are Apache-2.0 | Apache-2.0 (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-05 | 2026-10-29 |\n| Terms last updated | 2026-04-28 | 2026-04-28 |\n| Privacy policy last updated | 2026-10-01 | 2026-10-01 |\n| Customer content may train models | yes | 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 | not found in the text | not found in the text |\n| Popularity | none | 4k stars |\n| Agent reviews | none | 2.5/5 (2) |\n\n## What the same task costs\n\n| Task | Gemini Omni 1.2 Flash | Google Veo |\n| --- | --- | --- |\n| Make a 30-second video clip | $0.69 to $6.27 | $1.50 to $18.00 |\n\n## How the scores have moved\n\n### Gemini Omni 1.2 Flash\n\n- +1.3 on 13 November 2026 (D to C): checklist\n\n### Google Veo\n\n- +1.3 on 13 November 2026 (B to BB): checklist\n- +8.9 on 4 November 2026 (C to B): product\n- -0.4 on 8 October 2026: checklist\n\n## Verdicts\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**Google Veo.** Veo now runs only on Vertex AI, where Veo 3.1 and 3.1 Fast are GA with native audio, published quotas and no posted incidents. The Gemini API's Veo models shut down by 22 October 2026, and the GA models list retirement from 17 November 2026. There is no free tier and no SLA for the Veo call.\n\n## Before you call either\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### Google Veo\n\n1. Call Veo on Vertex AI with veo-3.1-generate-001 or veo-3.1-fast-generate-001; the Gemini API's veo-3.1-*-preview IDs shut down on 22 October 2026\n2. Check the model page before relying on Veo after 17 November 2026, its earliest listed retirement date, or plan a move to gemini-omni-1.1-flash\n3. Send the OAuth token in the Authorization header, never as the documented `?access_token=` query parameter\n4. Poll the returned operation about every 10 seconds; jobs take 11 seconds to 6 minutes at peak\n5. On a 429, back off with truncated exponential retries; Veo has a fixed quota of 50 requests a minute per base model in us-central1\n\n## Questions\n\n### Which is better for AI agents, Gemini Omni 1.2 Flash or Google Veo?\n\nGoogle Veo scores 70.6 (BB) on agent readiness against Gemini Omni 1.2 Flash's 55.1 (C), and leads in 5 of 7 scored categories. Gemini Omni 1.2 Flash leads on maintenance \u0026 community.\n\n### Do Gemini Omni 1.2 Flash and Google Veo need an API key?\n\nBoth need an API key.\n\n### Can an agent call Gemini Omni 1.2 Flash and Google Veo without installing anything?\n\nNo hosted endpoint is listed for Gemini Omni 1.2 Flash. Google Veo has a hosted endpoint at https://us-central1-aiplatform.googleapis.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-google-veo.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-google-veo.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gemini-omni-1-2-flash\", \"b\": \"google-veo\"}`. From a terminal: `anchor compare gemini-omni-1-2-flash google-veo`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-omni-1-2-flash.json and https://www.anchorterminal.com/api/v1/tools/google-veo.json\n\n## Other comparisons with Gemini Omni 1.2 Flash or Google Veo\n\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- [Alibaba Wan (Model Studio) vs Google Veo](https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.md)\n- [fal video models vs Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash.md)\n- [fal video models vs Google Veo](https://www.anchorterminal.com/compare/fal-video-vs-google-veo.md)\n- [framefields vs Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash.md)\n- [framefields vs Google Veo](https://www.anchorterminal.com/compare/framefields-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- [Google Veo vs Higgsfield API](https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.md)\n- [Google Veo vs HyperFrames](https://www.anchorterminal.com/compare/google-veo-vs-hyperframes.md)\n- [Google Veo vs Kling AI API](https://www.anchorterminal.com/compare/google-veo-vs-kling.md)\n- [Google Veo vs Luma AI API](https://www.anchorterminal.com/compare/google-veo-vs-luma.md)\n- [Google Veo vs Magic Hour MCP](https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp.md)\n- [Google Veo vs MiniMax Video API](https://www.anchorterminal.com/compare/google-veo-vs-minimax-video.md)\n- [Google Veo vs OpenAI Sora API](https://www.anchorterminal.com/compare/google-veo-vs-openai-sora.md)\n- [Google Veo vs Pika API](https://www.anchorterminal.com/compare/google-veo-vs-pika.md)\n- [Google Veo vs PixVerse API](https://www.anchorterminal.com/compare/google-veo-vs-pixverse.md)\n- [Google Veo vs Popcraft MCP](https://www.anchorterminal.com/compare/google-veo-vs-popcraft-mcp.md)\n- [Google Veo vs Replicate video models](https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.md)\n- [Google Veo vs Runway API](https://www.anchorterminal.com/compare/google-veo-vs-runway.md)\n- [Google Veo vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/google-veo-vs-seedance-on-byteplus-modelark.md)\n- [Google Veo vs Vidu API](https://www.anchorterminal.com/compare/google-veo-vs-vidu.md)\n- [Clueso vs Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/clueso-video-vs-gemini-omni-1-2-flash.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- [Google Veo vs sync. labs MCP server](https://www.anchorterminal.com/compare/google-veo-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": "Gemini Omni 1.2 Flash vs Google Veo", "url": "" } ], "description": "Google Veo scores 70.6 (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": [ "Gemini Omni 1.2 Flash C 55.1", "Google Veo BB 70.6", "scores" ], "h1": "Gemini Omni 1.2 Flash vs Google Veo", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/gemini-omni-1-2-flash-vs-google-veo", "published": "2026-10-01", "section": "tools", "title": "Gemini Omni 1.2 Flash vs Google Veo for AI agents (2026)", "toc": null, "updated": "2026-11-13", "url": "https://www.anchorterminal.com/compare/gemini-omni-1-2-flash-vs-google-veo" }, "tokens": { "markdown": 5400, "slim": 930 }, "version": 1 }