{ "data": { "a": { "slug": "framefields", "name": "framefields", "vendor": "Gatewai", "vendorUrl": "https://framefields.dev", "kind": "sdk", "category": "video-generation", "summary": "framefields is an open-source TypeScript library from Gatewai that renders motion graphics, text, charts, 3D and audio to MP4 on the GPU through WebGPU in Node.js, with an optional paid AI gateway and cloud rendering.", "url": "https://www.anchorterminal.com/tools/framefields", "markdownUrl": "https://www.anchorterminal.com/tools/framefields.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/framefields.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/framefields.json", "dns": "framefields.grade.anchorterminal.com", "repo": "https://github.com/gatewai-dev/framefields", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "npm", "name": "framefields" } ], "auth": "none", "authNotes": "No account or key for local rendering with the npm library. The optional AI gateway and cloud renders need `FRAMEFIELDS_API_KEY`, made at framefields.dev/dashboard after a browser sign-in and stored hashed with a per-key monthly limit. The optional self-hosted renderer worker takes jobs over HTTP with one bearer key (`RENDERER_API_KEY`), a required repository allowlist (`FF_REPO_ALLOWLIST`) and a git token for private repositories, all set by the owner.", "pricing": "freemium", "pricingNotes": "The library is free under Apache-2.0 and renders on the owner's machine with no account. Gatewai's optional AI gateway (since 2.4.0) and cloud renders (since 2.11.0) run on prepaid credits topped up through Dodo Payments, charged at the model catalogue's price, which is drawn by script, or per GPU time, estimated before a render. The self-hosted renderer worker runs on the owner's GPU host.", "priceSummary": "Freemium", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the llms.txt files or the repository source (checked 2026-10-20). There is nothing to pay Gatewai for.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 445, "npmWeekly": 1102, "pypiWeekly": null, "asOf": "2026-10-20" }, "docsUrl": "https://framefields.dev/docs/", "llmsTxt": "https://framefields.dev/llms.txt", "capabilities": [ "video.generate", "video.render", "video.edit", "video.audio" ], "tags": [ "open-source", "apache-2.0", "typescript", "local", "self-hosted", "free", "no-card", "beta", "new" ], "lastRelease": "2026-11-02", "graded": true, "anchor": { "graded": true, "score": 55.2, "grade": "C", "agentReady": false, "rank": 967, "ranked": true, "rankOf": 1524, "categoryRank": 9, "methodology": "0.8", "run": "2026-10-01", "scores": { "ergonomics": 74, "maintenance": 89, "payments": 30, "reliability": 61, "schema": 77, "security": 45, "transparency": 46 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-02" }, "negative": -5, "negativeNotes": [ "20 October 2026, still true on 2 November. The install page says `/plugin install framefields` comes from Anthropic's official plugin directory, which Claude Code adds for you. The directory's public marketplace file (last commit 30 October 2026) lists 315 plugins and no framefields entry, so the command as documented would not find the plugin. The deduction lapses if the entry appears. Sources https://framefields.dev/docs/agents/install/ and https://github.com/anthropics/claude-plugins-official (-2)", "28 October 2026. 2.7.0, a minor release, removed TextReveal's `track` enter and exit style from `framefields/components` (\"Breaking for anyone who used it\"), shipped in 2.5.0 to 2.6.2, with no pre-release or earlier notice found. Source https://github.com/gatewai-dev/framefields/blob/main/packages/framefields/CHANGELOG.md (-3)" ], "verdict": "A free Apache-2.0 library that renders video from TypeScript on the GPU, with lint and QA codes an agent can act on. It ships several versions a week, a minor release removed a documented style without notice, its paid AI gateway and cloud prices aren't readable, and its Claude Code install names a directory entry that doesn't exist.", "bestFor": "Coding agents that write motion graphics, data stories, title cards and 3D product shots as code and render them locally or on their own GPU.", "strengths": [ "Apache-2.0 library that renders locally with no account or card", "`comp.lint()` and `renderVideo({ qa })` return documented codes with severities and fixes", "llms.txt with a Markdown version of every docs page", "Self-hosted worker jobs take an idempotency key and report retryable errors", "Privacy policy and terms for the hosted parts name sub-processors and say content isn't used for training" ], "weaknesses": [ "First published on 5 October 2026 and still badged beta at 2.12.0", "2.7.0, a minor release, removed TextReveal's `track` style with no notice", "No security policy, security.txt or published security contact for the code", "Public CI runs the worker's tests, not the library's Vitest suite", "AI gateway and cloud render prices aren't published in readable form" ], "agentNotes": [ "Add the plugin with `/plugin marketplace add gatewai-dev/framefields` first; the official-directory install was not found on 2 November 2026.", "Approve only the skia-canvas install script, as the getting-started page shows, or imports fail with a missing `skia.node`.", "Check with `comp.lint()` and `renderFrameGrid` before a full `renderVideo` encode.", "Run `framefields render \u003cname\u003e --cloud --plan` before a cloud render; it prints workers, time and an estimated charge without spending credits.", "Pin `framefields` to an exact version; minor releases have removed component styles." ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.8", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.2 } ], "editorialScores": { "ergonomics": 74, "maintenance": 89, "payments": 30, "reliability": 61, "schema": 77, "security": 45, "transparency": 66 }, "provenanceScore": 26, "checked": { "categories": { "ergonomics": "2026-11-02", "maintenance": "2026-11-02", "payments": "2026-11-02", "reliability": "2026-11-02", "schema": "2026-11-02", "security": "2026-11-02", "transparency": "2026-11-02" }, "last": "2026-11-02", "lastMoved": "2026-11-13", "oldest": "2026-11-02", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm install framefields", "claudeCode": "/plugin marketplace add gatewai-dev/framefields\n/plugin install framefields@framefields-plugins" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/framefields" }, "area": "content", "provenance": { "legalEntity": "", "domain": "framefields.dev", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://framefields.dev/terms/", "privacy": "https://framefields.dev/privacy/", "statusPage": "", "changelog": "https://github.com/gatewai-dev/framefields/blob/main/packages/framefields/CHANGELOG.md", "securityTxt": "none", "checked": "2026-11-02", "notes": [ "The terms and privacy policy (effective 26 October 2026) name the operator as Gatewai, with support@gatewai.studio, and give no company form, registration number or address, so no legal entity is recorded.", "framefields.dev/.well-known/security.txt answers 403 and /security.txt 404 on 2 November 2026, and the repository has no SECURITY.md.", "The Apache-2.0 LICENCE governs the software; the terms cover the hosted dashboard, API keys, credits and AI gateway." ], "score": 26 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/framefields.json", "live": { "slug": "framefields", "versions": [ { "registry": "npm", "name": "framefields", "version": "3.0.1", "seenAt": "2026-11-13T08:36:01.114841283Z" } ], "githubStars": 519, "npmWeekly": 1111, "securityTxt": { "url": "https://framefields.dev/.well-known/security.txt", "state": "unknown", "checkedAt": "2026-11-13T16:17:13.385223735Z" }, "llmsTxt": { "url": "https://framefields.dev/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-13T15:54:19.36358526Z" }, "domain": { "domain": "framefields.dev", "registered": "2026-10-05", "source": "https://pubapi.registry.google/rdap/domain/framefields.dev", "checkedAt": "2026-11-08T14:50:01.100099002Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/gatewai-dev/framefields/main/packages/framefields/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-13T18:31:39.103693104Z", "changedAt": "2026-11-13T18:31:39.103693104Z", "fingerprint": "60a67c8b4f5f" }, { "url": "https://framefields.dev/privacy/", "kind": "privacy", "status": 200, "checkedAt": "2026-11-13T18:20:18.932620735Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "f3bfc7da8075" }, { "url": "https://framefields.dev/terms/", "kind": "terms", "status": 200, "checkedAt": "2026-11-13T18:20:21.045240355Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "efdc0e91369e" }, { "url": "https://raw.githubusercontent.com/gatewai-dev/framefields/main/LICENCE", "kind": "terms", "status": 304, "checkedAt": "2026-11-02T07:26:19.777410289Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "839fbbcddc72" } ], "github": { "repo": "gatewai-dev/framefields", "checkedAt": "2026-11-09T10:01:14.108068876Z", "stars": 511, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-07T07:48:02Z", "openIssues": 0, "openPRs": 2, "issuesOpened90d": 10, "issuesClosed90d": 10, "prsMerged90d": 79, "ci": { "branch": "main", "runs": 50, "success": 49, "failure": 1, "other": 0, "latest": "success", "latestAt": "2026-11-07T07:55:16Z" }, "replies": { "sampled": 10, "unanswered": 0, "medianDays": 0.3 } }, "updatedAt": "2026-11-13T18:31:39.103693104Z" } }, "answer": "framefields and Gemini Omni 1.2 Flash score within a point of each other on agent readiness, 55.2 (C) and 55.1 (C). Gemini Omni 1.2 Flash leads on security \u0026 auth and 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": 26, "category": "transparency", "leads": "gemini-omni-1-2-flash", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache-2.0, an OSI licence, in LICENCE and the npm metadata (30). A privacy policy and terms of service for the hosted parts, effective 26 October 2026, say what the dashboard and gateway collect, that request bodies aren't kept, that output files are kept while the account is open and deleted on request, that content isn't used to train models, and that sharing goes to Cloudflare, fal, Dodo Payments, GitHub and Google. Retention has no periods in days and there is no DPA. NOTICE.md now states that vision models download on first use (18). No deprecation policy; the changelog names removed styles and exports without notice periods (3). The privacy policy names sub-processors and says data may be processed in the United States and Asia, and states no analytics trackers on the site; no telemetry was found in the library's source, which has no statement either way (15). 30 + 18 + 3 + 15 = 66.", "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": 46, "b": 72 } }, { "by": 20, "category": "ergonomics", "leads": "framefields", "name": "Agent ergonomics", "reasons": { "a": "A library with no tool definitions to load. The four skills are 88 KB of Markdown and load only when a task matches (16). Output can be sized to the check, by one frame, a contact-sheet grid with a step, a frame range, a quality level, and on the worker an LFS include list (16). `comp.lint()` returns `{ severity, code, message, layerId }`, `renderVideo({ qa })` returns measured issues with times, and worker jobs fail with `{ code, message, phase, retryable, hint }` (18). Frames are a function of the frame number; worker jobs take an `idempotencyKey` and a `source.commit` pin, and renders accept an AbortSignal (16). Setup needs Node.js 22, an ES module project and an approved skia-canvas install script; TypeScript only (8).", "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": 74, "b": 54 } }, { "by": 16, "category": "reliability", "leads": "framefields", "name": "Reliability", "reasons": { "a": "Read with the local-software lines, because the library and the renderer worker run on the owner's machines. Official npm package `framefields` with Node.js 22 or later stated in the README and getting-started page, though not in `engines` (20). The one public CI workflow still builds, typechecks and tests only the renderer worker on pushes to main, with GPU tests skipped, and the library's own Vitest suite isn't run in CI. Its pass state on 2 November couldn't be read (GitHub's pages and API refused); the last ten runs passed per the 20 October check (10). Seven bug issues filed on 13 October 2026 by an outside reporter were closed with fixes within a day, per the 20 October check. 2.9.3 (31 October) fixed prompted tracking that failed for every npm user since 2.9.0 the same day, because a peer package was never published (18). Changesets changelog with major, minor and patch entries, but 2.7.0, a minor release, removed TextReveal's `track` style, and 2.2.0 removed exports from `@framefields/client-utils`, a companion package (8). Version 2.12.0, but the README badge still says beta, so 5 of 15 (5). 20 + 10 + 18 + 8 + 5 = 61.", "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": 61, "b": 45 } }, { "by": 8, "category": "schema", "leads": "framefields", "name": "Schema \u0026 documentation", "reasons": { "a": "Read as a library. No OpenAPI or other formal contract; the package ships TypeScript declarations for every export and validates with zod, counted as 15 of 25 as for other SDKs (15). llms.txt at framefields.dev and a docs index at /docs/llms.txt with a Markdown version of every page and full and compact text files (10). Authoring rules, a workflow page and four skills say what to do and in what order, cheapest check first (15). Options are typed with enums, such as `quality` (very_low, low, high, very_high) and `codec` (h264, vp9, vp8), and job fields have defaults (12). Examples on every guide page; lint and QA codes, troubleshooting and worker error codes are each catalogued with a fix (14). Semantic versions with a changesets CHANGELOG.md in the repository, 2.4.0 to 2.12.0 added since 20 October; no GitHub releases and no changelog page on the site (11).", "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": 77, "b": 69 } }, { "by": 6, "category": "maintenance", "leads": "framefields", "name": "Maintenance \u0026 community", "reasons": { "a": "Version 2.12.0 on 2 November 2026, the day of the check, per the repository's version bumps; npm wasn't readable (30). 19 version bumps from 2.4.0 to 2.12.0 in the 14 days since 20 October, 42 since 5 October, five of them betas (20). Outside bug reports of 13 October 2026 were fixed and closed within a day, per the 20 October check; issue and pull request reply times weren't re-read, and pull requests #39 to #52 and #64 to #77, all from the vendor's own branches, were merged between 21 October and 2 November (18). It is Gatewai's own package, current with the skills, which follow its version (15). Dependencies are current (zod 4, mediabunny 1.61.6 as a stated minimum), but CI covers only the worker and the GPU backend depends on `webgpu` 0.4, a pre-1.0 package (6). 30 + 20 + 18 + 15 + 6 = 89.", "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. 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." }, "scores": { "a": 89, "b": 83 } }, { "by": 5, "category": "security", "leads": "gemini-omni-1-2-flash", "name": "Security \u0026 auth", "reasons": { "a": "Read with the framework lines. The library takes no credentials for local rendering. The optional AI gateway and cloud renders take a `FRAMEFIELDS_API_KEY` from the dashboard, stored hashed with a per-key monthly spending limit, and the self-hosted worker uses one bearer key for all jobs plus a git token (15). The worker refuses repositories outside a required `FF_REPO_ALLOWLIST`, removes secrets from the environment before project code runs, shares node_modules read-only, and its README warns that allowed repositories' code runs in the worker's process. The getting-started page has the owner deny five of six dependency install scripts (12). It renders the owner's assets and returns no third-party text, apart from preview notes a person writes for the agent (10). Worker results report the rendered commit SHA, timings and GPU; no audit log (5). No SECURITY.md in the repository and no security.txt on 2 November (403 at /.well-known/, 404 at the root); OSV holds no advisory for `framefields`. npm provenance per the 20 October check (none on 2.3.2), not re-read. Vision models are fetched from pinned Hugging Face revisions with a SHA-256 check (3).", "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": 45, "b": 50 } } ], "facts": [ { "a": "SDK + MCP", "b": "Model API", "name": "Kind" }, { "a": "Gatewai", "b": "Google", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "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": "2026-11-02", "b": "2026-11-05", "name": "Last release" }, { "a": "not read yet", "b": "2026-04-28", "name": "Terms last updated" }, { "a": "not read yet", "b": "2026-10-01", "name": "Privacy policy last updated" }, { "a": "not read yet", "b": "yes", "name": "Customer content may train models" }, { "a": "not read yet", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not read yet", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not read yet", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not read yet", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "445 stars, 1.1k npm/wk", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "framefields and Gemini Omni 1.2 Flash score within a point of each other on agent readiness, 55.2 (C) and 55.1 (C). Gemini Omni 1.2 Flash leads on security \u0026 auth and transparency \u0026 trust.", "question": "Which is better for AI agents, framefields or Gemini Omni 1.2 Flash?" }, { "answer": "No hosted endpoint is listed for framefields. No hosted endpoint is listed for Gemini Omni 1.2 Flash.", "question": "Can an agent call framefields and Gemini Omni 1.2 Flash without installing anything?" }, { "answer": "framefields is open source (Apache-2.0). No open-source release is listed for Gemini Omni 1.2 Flash.", "question": "Are framefields and Gemini Omni 1.2 Flash open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 61 against 45", "Schema \u0026 documentation, 77 against 69", "Agent ergonomics, 74 against 54", "Maintenance \u0026 community, 89 against 83" ], "also": [ "No key needed to call it", "Free to start without a card", "Open source" ], "goodFor": "Coding agents that write motion graphics, data stories, title cards and 3D product shots as code and render them locally or on their own GPU.", "slug": "framefields", "watchFor": "First published on 5 October 2026 and still badged beta at 2.12.0" }, { "aheadOn": [ "Security \u0026 auth, 50 against 45", "Transparency \u0026 trust, 72 against 46" ], "also": [ "No incidents deducted, where framefields loses 5 points for them" ], "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": { "framefields": [ { "causes": [ "method" ], "date": "2026-11-13", "delta": 1.3, "from": 53.9, "fromGrade": "D", "to": 55.2, "toGrade": "C" }, { "causes": [ "terms", "product", "event" ], "date": "2026-11-02", "delta": -7.4, "from": 61.3, "fromGrade": "C", "to": 53.9, "toGrade": "D" }, { "causes": [ "method" ], "date": "2026-10-30", "delta": -0.2, "from": 61.5, "fromGrade": "C", "to": 61.3, "toGrade": "C" } ], "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-framefields.json", "title": "Alibaba Wan (Model Studio) vs framefields", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields" }, { "json": "https://www.anchorterminal.com/compare/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-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/framefields-vs-google-veo.json", "title": "framefields vs Google Veo", "url": "https://www.anchorterminal.com/compare/framefields-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-higgsfield.json", "title": "framefields vs Higgsfield API", "url": "https://www.anchorterminal.com/compare/framefields-vs-higgsfield" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-hyperframes.json", "title": "framefields vs HyperFrames", "url": "https://www.anchorterminal.com/compare/framefields-vs-hyperframes" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-kling.json", "title": "framefields vs Kling AI API", "url": "https://www.anchorterminal.com/compare/framefields-vs-kling" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-luma.json", "title": "framefields vs Luma AI API", "url": "https://www.anchorterminal.com/compare/framefields-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-magic-hour-mcp.json", "title": "framefields vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/framefields-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-minimax-video.json", "title": "framefields vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/framefields-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-openai-sora.json", "title": "framefields vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/framefields-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-pika.json", "title": "framefields vs Pika API", "url": "https://www.anchorterminal.com/compare/framefields-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-pixverse.json", "title": "framefields vs PixVerse API", "url": "https://www.anchorterminal.com/compare/framefields-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-popcraft-mcp.json", "title": "framefields vs Popcraft MCP", "url": "https://www.anchorterminal.com/compare/framefields-vs-popcraft-mcp" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-replicate-video.json", "title": "framefields vs Replicate video models", "url": "https://www.anchorterminal.com/compare/framefields-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-runway.json", "title": "framefields vs Runway API", "url": "https://www.anchorterminal.com/compare/framefields-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-seedance-on-byteplus-modelark.json", "title": "framefields vs Seedance on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/framefields-vs-seedance-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-vidu.json", "title": "framefields vs Vidu API", "url": "https://www.anchorterminal.com/compare/framefields-vs-vidu" }, { "json": "https://www.anchorterminal.com/compare/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-framefields.json", "title": "Clueso vs framefields", "url": "https://www.anchorterminal.com/compare/clueso-video-vs-framefields" }, { "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/framefields-vs-sync-labs-mcp.json", "title": "framefields vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/framefields-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": 16, "edge": "framefields", "framefields": 61, "gemini-omni-1-2-flash": 45, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "edge": "framefields", "framefields": 77, "gemini-omni-1-2-flash": 69, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 20, "edge": "framefields", "framefields": 74, "gemini-omni-1-2-flash": 54, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 5, "edge": "gemini-omni-1-2-flash", "framefields": 45, "gemini-omni-1-2-flash": 50, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "framefields": 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": 6, "edge": "framefields", "framefields": 89, "gemini-omni-1-2-flash": 83, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 26, "edge": "gemini-omni-1-2-flash", "framefields": 46, "gemini-omni-1-2-flash": 72, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "framefields and Gemini Omni 1.2 Flash score within a point of each other on agent readiness, 55.2 (C) and 55.1 (C). Gemini Omni 1.2 Flash leads on security \u0026 auth and transparency \u0026 trust. Both do video generation.", "tasks": null, "tutorials": [], "verdicts": { "framefields": "A free Apache-2.0 library that renders video from TypeScript on the GPU, with lint and QA codes an agent can act on. It ships several versions a week, a minor release removed a documented style without notice, its paid AI gateway and cloud prices aren't readable, and its Claude Code install names a directory entry that doesn't exist.", "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/framefields-vs-gemini-omni-1-2-flash", "json": "https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash.min.md" }, "markdown": "framefields and Gemini Omni 1.2 Flash score within a point of each other on agent readiness, 55.2 (C) and 55.1 (C). Gemini Omni 1.2 Flash leads on security \u0026 auth and transparency \u0026 trust. Both do video generation.\n\n- framefields: grade C, 55.2/100, rank #967 of 1524. Markdown https://www.anchorterminal.com/tools/framefields.md · JSON https://www.anchorterminal.com/api/v1/tools/framefields.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### framefields (C)\n\nGood for: Coding agents that write motion graphics, data stories, title cards and 3D product shots as code and render them locally or on their own GPU.\n\nAhead on:\n- Reliability, 61 against 45\n- Schema \u0026 documentation, 77 against 69\n- Agent ergonomics, 74 against 54\n- Maintenance \u0026 community, 89 against 83\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- Open source\n\nWatch for: First published on 5 October 2026 and still badged beta at 2.12.0\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- Security \u0026 auth, 50 against 45\n- Transparency \u0026 trust, 72 against 46\n\nAlso in its favour:\n- No incidents deducted, where framefields loses 5 points for them\n\nWatch for: No free tier, per the pricing page\n\n\n## Why the edge\n\n### Transparency \u0026 trust: Gemini Omni 1.2 Flash +26\n\n- framefields (46): Apache-2.0, an OSI licence, in LICENCE and the npm metadata (30). A privacy policy and terms of service for the hosted parts, effective 26 October 2026, say what the dashboard and gateway collect, that request bodies aren't kept, that output files are kept while the account is open and deleted on request, that content isn't used to train models, and that sharing goes to Cloudflare, fal, Dodo Payments, GitHub and Google. Retention has no periods in days and there is no DPA. NOTICE.md now states that vision models download on first use (18). No deprecation policy; the changelog names removed styles and exports without notice periods (3). The privacy policy names sub-processors and says data may be processed in the United States and Asia, and states no analytics trackers on the site; no telemetry was found in the library's source, which has no statement either way (15). 30 + 18 + 3 + 15 = 66.\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### Agent ergonomics: framefields +20\n\n- framefields (74): A library with no tool definitions to load. The four skills are 88 KB of Markdown and load only when a task matches (16). Output can be sized to the check, by one frame, a contact-sheet grid with a step, a frame range, a quality level, and on the worker an LFS include list (16). `comp.lint()` returns `{ severity, code, message, layerId }`, `renderVideo({ qa })` returns measured issues with times, and worker jobs fail with `{ code, message, phase, retryable, hint }` (18). Frames are a function of the frame number; worker jobs take an `idempotencyKey` and a `source.commit` pin, and renders accept an AbortSignal (16). Setup needs Node.js 22, an ES module project and an approved skia-canvas install script; TypeScript only (8).\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### Reliability: framefields +16\n\n- framefields (61): Read with the local-software lines, because the library and the renderer worker run on the owner's machines. Official npm package `framefields` with Node.js 22 or later stated in the README and getting-started page, though not in `engines` (20). The one public CI workflow still builds, typechecks and tests only the renderer worker on pushes to main, with GPU tests skipped, and the library's own Vitest suite isn't run in CI. Its pass state on 2 November couldn't be read (GitHub's pages and API refused); the last ten runs passed per the 20 October check (10). Seven bug issues filed on 13 October 2026 by an outside reporter were closed with fixes within a day, per the 20 October check. 2.9.3 (31 October) fixed prompted tracking that failed for every npm user since 2.9.0 the same day, because a peer package was never published (18). Changesets changelog with major, minor and patch entries, but 2.7.0, a minor release, removed TextReveal's `track` style, and 2.2.0 removed exports from `@framefields/client-utils`, a companion package (8). Version 2.12.0, but the README badge still says beta, so 5 of 15 (5). 20 + 10 + 18 + 8 + 5 = 61.\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### Schema \u0026 documentation: framefields +8\n\n- framefields (77): Read as a library. No OpenAPI or other formal contract; the package ships TypeScript declarations for every export and validates with zod, counted as 15 of 25 as for other SDKs (15). llms.txt at framefields.dev and a docs index at /docs/llms.txt with a Markdown version of every page and full and compact text files (10). Authoring rules, a workflow page and four skills say what to do and in what order, cheapest check first (15). Options are typed with enums, such as `quality` (very_low, low, high, very_high) and `codec` (h264, vp9, vp8), and job fields have defaults (12). Examples on every guide page; lint and QA codes, troubleshooting and worker error codes are each catalogued with a fix (14). Semantic versions with a changesets CHANGELOG.md in the repository, 2.4.0 to 2.12.0 added since 20 October; no GitHub releases and no changelog page on the site (11).\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### Maintenance \u0026 community: framefields +6\n\n- framefields (89): Version 2.12.0 on 2 November 2026, the day of the check, per the repository's version bumps; npm wasn't readable (30). 19 version bumps from 2.4.0 to 2.12.0 in the 14 days since 20 October, 42 since 5 October, five of them betas (20). Outside bug reports of 13 October 2026 were fixed and closed within a day, per the 20 October check; issue and pull request reply times weren't re-read, and pull requests #39 to #52 and #64 to #77, all from the vendor's own branches, were merged between 21 October and 2 November (18). It is Gatewai's own package, current with the skills, which follow its version (15). Dependencies are current (zod 4, mediabunny 1.61.6 as a stated minimum), but CI covers only the worker and the GPU backend depends on `webgpu` 0.4, a pre-1.0 package (6). 30 + 20 + 18 + 15 + 6 = 89.\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\n### Security \u0026 auth: Gemini Omni 1.2 Flash +5\n\n- framefields (45): Read with the framework lines. The library takes no credentials for local rendering. The optional AI gateway and cloud renders take a `FRAMEFIELDS_API_KEY` from the dashboard, stored hashed with a per-key monthly spending limit, and the self-hosted worker uses one bearer key for all jobs plus a git token (15). The worker refuses repositories outside a required `FF_REPO_ALLOWLIST`, removes secrets from the environment before project code runs, shares node_modules read-only, and its README warns that allowed repositories' code runs in the worker's process. The getting-started page has the owner deny five of six dependency install scripts (12). It renders the owner's assets and returns no third-party text, apart from preview notes a person writes for the agent (10). Worker results report the rendered commit SHA, timings and GPU; no audit log (5). No SECURITY.md in the repository and no security.txt on 2 November (403 at /.well-known/, 404 at the root); OSV holds no advisory for `framefields`. npm provenance per the 20 October check (none on 2.3.2), not re-read. Vision models are fetched from pinned Hugging Face revisions with a SHA-256 check (3).\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## Score by category\n\n| Category | Weight | framefields | Gemini Omni 1.2 Flash | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 61 | 45 | framefields +16 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 77 | 69 | framefields +8 |\n| Agent ergonomics | 13% (16.2 this run) | 74 | 54 | framefields +20 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 50 | Gemini Omni 1.2 Flash +5 |\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) | 89 | 83 | framefields +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 46 | 72 | Gemini Omni 1.2 Flash +26 |\n| Negative events | ≤15 | -5 | 0 | |\n| **Total** | | **55.2 · C** | **55.1 · C** | |\n\n## Facts side by side\n\n| Fact | framefields | Gemini Omni 1.2 Flash |\n| --- | --- | --- |\n| Kind | SDK + MCP | Model API |\n| Vendor | Gatewai | Google |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | HTTP |\n| Auth | None | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 | 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 | 2026-11-02 | 2026-11-05 |\n| Terms last updated | not read yet | 2026-04-28 |\n| Privacy policy last updated | not read yet | 2026-10-01 |\n| Customer content may train models | not read yet | yes |\n| Terms restrict automated access | not read yet | yes |\n| Terms restrict benchmarking | not read yet | yes |\n| Terms or service can change without notice | not read yet | not found in the text |\n| Arbitration or class-action waiver | not read yet | not found in the text |\n| Popularity | 445 stars, 1.1k npm/wk | none |\n| Agent reviews | 3.5/5 (4) | none |\n\n## How the scores have moved\n\n### framefields\n\n- +1.3 on 13 November 2026 (D to C): checklist\n- -7.4 on 2 November 2026 (C to D): terms, product, negative event\n- -0.2 on 30 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**framefields.** A free Apache-2.0 library that renders video from TypeScript on the GPU, with lint and QA codes an agent can act on. It ships several versions a week, a minor release removed a documented style without notice, its paid AI gateway and cloud prices aren't readable, and its Claude Code install names a directory entry that doesn't exist.\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### framefields\n\n1. Add the plugin with `/plugin marketplace add gatewai-dev/framefields` first; the official-directory install was not found on 2 November 2026.\n2. Approve only the skia-canvas install script, as the getting-started page shows, or imports fail with a missing `skia.node`.\n3. Check with `comp.lint()` and `renderFrameGrid` before a full `renderVideo` encode.\n4. Run `framefields render \u003cname\u003e --cloud --plan` before a cloud render; it prints workers, time and an estimated charge without spending credits.\n5. Pin `framefields` to an exact version; minor releases have removed component styles.\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, framefields or Gemini Omni 1.2 Flash?\n\nframefields and Gemini Omni 1.2 Flash score within a point of each other on agent readiness, 55.2 (C) and 55.1 (C). Gemini Omni 1.2 Flash leads on security \u0026 auth and transparency \u0026 trust.\n\n### Can an agent call framefields and Gemini Omni 1.2 Flash without installing anything?\n\nNo hosted endpoint is listed for framefields. No hosted endpoint is listed for Gemini Omni 1.2 Flash.\n\n### Are framefields and Gemini Omni 1.2 Flash open source?\n\nframefields is open source (Apache-2.0). No open-source release is listed for Gemini Omni 1.2 Flash.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash.json, and with the fewest tokens: https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"framefields\", \"b\": \"gemini-omni-1-2-flash\"}`. From a terminal: `anchor compare framefields gemini-omni-1-2-flash`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/framefields.json and https://www.anchorterminal.com/api/v1/tools/gemini-omni-1-2-flash.json\n\n## Other comparisons with framefields or Gemini Omni 1.2 Flash\n\n- [Alibaba Wan (Model Studio) vs framefields](https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields.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 Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/fal-video-vs-gemini-omni-1-2-flash.md)\n- [framefields vs Google Veo](https://www.anchorterminal.com/compare/framefields-vs-google-veo.md)\n- [framefields vs Higgsfield API](https://www.anchorterminal.com/compare/framefields-vs-higgsfield.md)\n- [framefields vs HyperFrames](https://www.anchorterminal.com/compare/framefields-vs-hyperframes.md)\n- [framefields vs Kling AI API](https://www.anchorterminal.com/compare/framefields-vs-kling.md)\n- [framefields vs Luma AI API](https://www.anchorterminal.com/compare/framefields-vs-luma.md)\n- [framefields vs Magic Hour MCP](https://www.anchorterminal.com/compare/framefields-vs-magic-hour-mcp.md)\n- [framefields vs MiniMax Video API](https://www.anchorterminal.com/compare/framefields-vs-minimax-video.md)\n- [framefields vs OpenAI Sora API](https://www.anchorterminal.com/compare/framefields-vs-openai-sora.md)\n- [framefields vs Pika API](https://www.anchorterminal.com/compare/framefields-vs-pika.md)\n- [framefields vs PixVerse API](https://www.anchorterminal.com/compare/framefields-vs-pixverse.md)\n- [framefields vs Popcraft MCP](https://www.anchorterminal.com/compare/framefields-vs-popcraft-mcp.md)\n- [framefields vs Replicate video models](https://www.anchorterminal.com/compare/framefields-vs-replicate-video.md)\n- [framefields vs Runway API](https://www.anchorterminal.com/compare/framefields-vs-runway.md)\n- [framefields vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/framefields-vs-seedance-on-byteplus-modelark.md)\n- [framefields vs Vidu API](https://www.anchorterminal.com/compare/framefields-vs-vidu.md)\n- [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 framefields](https://www.anchorterminal.com/compare/clueso-video-vs-framefields.md)\n- [Clueso vs Gemini Omni 1.2 Flash](https://www.anchorterminal.com/compare/clueso-video-vs-gemini-omni-1-2-flash.md)\n- [framefields vs sync. labs MCP server](https://www.anchorterminal.com/compare/framefields-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": "framefields vs Gemini Omni 1.2 Flash", "url": "" } ], "description": "framefields and Gemini Omni 1.2 Flash score within a point of each other for video generation, 55.2 and 55.1 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "framefields C 55.2", "Gemini Omni 1.2 Flash C 55.1", "scores" ], "h1": "framefields vs Gemini Omni 1.2 Flash", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/framefields-vs-gemini-omni-1-2-flash", "published": "2026-10-01", "section": "tools", "title": "framefields vs Gemini Omni 1.2 Flash for AI agents (2026)", "toc": null, "updated": "2026-11-13", "url": "https://www.anchorterminal.com/compare/framefields-vs-gemini-omni-1-2-flash" }, "tokens": { "markdown": 5900, "slim": 1030 }, "version": 1 }