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Synthesia puts video generation inside ChatGPT as new models settle on 30 seconds

Synthesia said on 3 November 2026 that its ChatGPT plugin is live on every Synthesia plan, so users can generate a video and revise it without leaving the chat window. The plugin also runs scheduled jobs, turning a Slack post into a 30-second launch video.

AI & modelsExplainerGrace OkonkwoPublished: 3 November 20264 min readSources 28
Synthesia puts video generation inside ChatGPT as new models settle on 30 seconds

Synthesia moves production into the chat window

Buyers now pick a pipe rather than a model: a chat plugin, an API, or an aggregator that resells a dozen models at once. That shifts price comparison onto credit packs and per-seat plans. Watermark and commercial-use terms become the deciding detail for small teams.

The plugin does more than return a clip. Users describe the video or hand over a document, deck or spreadsheet, and ChatGPT asks follow-up questions about style and length before Synthesia builds it. Further requests in the same conversation change the result. Videos use Syren by default, which Synthesia pitches at explainers, how-tos and launch videos. A prompt can ask for Studio instead, where an avatar delivers a supplied script word for word. The result opens in Synthesia's editor for scene-by-scene changes.

The automation examples are the interesting part. Synthesia says a workflow can turn each new post in a product-releases Slack channel into a 30-second launch video. Another checks BambooHR at 8 a.m. on weekdays and makes a 60-second welcome video for each new hire.

That is a different sales pitch from a model benchmark. The video is an output of a process the team already runs.

The new models agree on 30 seconds and sound

Kling 4.0 is live on fal's playground and fal Agent, according to a DotAI Times write-up on note.com. It returns 3 to 30 seconds of video with two-channel stereo audio in one generation. Dialogue, singing, sound effects and ambience are generated in sync with the picture. One run can reference up to 15 assets: 10 images, 5 videos totalling 30 seconds, and 7 elements.

ByteDance's Seedance line goes further on references. TechFlow reported on 28 October that B.AI added four Seedance models to its API. Seedance 2.5 handles single runs of up to 30 seconds at up to 1080p 10-bit, with up to 50 reference assets and timestamp-targeted editing. Seedance 2.0 targets 4K 10-bit with start and end frame control. Seedance 2.0 Fast generates at 480p or 720p, and 2.0 Mini sits at the bottom on unit price.

So the two flagship releases land on the same duration. Fifteen reference assets against 50 is the wider gap. It matters for anyone building a recurring character or a product line rather than a one-off clip.

Distribution is doing more work than the model

AIVideoFree relaunched on 30 October with sign-up credits that work across all 12 of its video models and 10 image models, including Veo, Kling 3.0, Seedance 2.5, Wan 3.0 and Minimax H3. The company says videos download without a watermark, credits do not expire, and free-credit output can be used commercially. No credit card is needed to sign up, and the company says a subscription is not required.

Cuty AI takes the same idea further. The Jerusalem Post's roundup of team-oriented video tools lists 28 video models on its site. They include Seedance 2.5, Veo 3.1, Kling 3.0 and Wan 3.0.

B.AI sells the other end of the pipe: API access to four Seedance tiers, from the flagship 2.5 down to 2.0 Mini. A team that wants the newest ByteDance model can reach it through B.AI's API, through an aggregator, or through a chat plugin. Each route carries its own terms, its own credit rate and its own rules on commercial use.

What access costs

The listed prices are for credits and seats, not for a model. AIVideoFree sells one-time packs starting at $6.90 for 600 credits, with annual plans from $7.40 per month billed yearly. Cuty AI's yearly-billed Lite plan is $4.9 per month for 300 credits, and Pro is $8.9 per month for 1,000. Adobe Firefly team plans start at $19.99 per licence per month, according to the Jerusalem Post's comparison.

Read those side by side and the gap is $4.9 against $19.99. The comparison is not clean. AIVideoFree shows the credit cost of each generation before it starts. The Jerusalem Post's review also notes that videos made on Cuty AI's free version may carry a watermark, which undercuts the free tier for client work.

For a small team, the deciding question is often not quality. It is whether the output can go to a client without a watermark and without a per-seat contract.

What is still open

Kling 4.0's API access is listed as coming soon, so builders cannot yet wire it into their own products. Video extension up to 2 minutes is promised without a date.

The 28 October Seedance announcement listed capabilities but no per-call prices. Neither B.AI nor ByteDance has published what a 30-second Seedance 2.5 run costs through the API.

That gap is the one to watch. Duration, audio and reference counts have converged fast across Kling and Seedance. Pricing per finished second has not.

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Sources

28
  1. 01Synthesia Brings AI Video Creation and Automation to ChatGPTEN
  2. 02Best AI video generators in 2026 - The Jerusalem PostEN
  3. 03AIVideoFree Relaunches as a Free AI Video Generator With No Restrictions on ModelsEN
  4. 04ByteDance Seedance Series Video Generation Models Launch on B.AI APIEN
  5. 05Kling 4.0 Released. What Changes with 30-Second Video Generation with Audio?JA
  6. 06 Google reveals new Gemini 4 Carbon AI model, narrowly beating Claude Opus 5.5 EN
  7. 07China touts AI milestone: models generate more tokens than used in trainingEN
  8. 08Nvidia is happy to take your money whether you're using open or closed models, says Jensen HuangEN
  9. 09STAT+: Amid Mass General Brigham layoffs, CEO pens vague letter, stirring staff anxietyEN
  10. 10Aluminum–Air Generators for Data Centres Face a Metal Logistics TestEN
  11. 11I Checked Out Tesla’s New Model YL, Standard Y, Model 3 In Person — Here’s What Surprised MeEN
  12. 12heise+ | Humanoide Roboter in Deutschland: Modelle, Preise und VerfügbarkeitEN
  13. 13Free AI Video Generator: Create Engaging Videos Without Spending Money - Geek Vibes NationEN
  14. 14From Text To Video: How An AI Video Generator Simplifies Content Creation - KHTS RadioEN
  15. 15Behind-the-meter generation could deliver five times more grid relief than data center load shiftingEN
  16. 16Open models can do 90% of agentic work at a twentieth of the cost of a frontier LLM: GartnerEN
  17. 17Tutor Intelligence raises Series B to scale model training, robot deploymentsEN
  18. 18Google Launches LiteRT Tensor API for Building, Customizing, and Optimizing ML Models for On-DeviceEN
  19. 19Meta Removed Disturbing AI Videos After Initially Saying They Didn’t Violate Its RulesEN
  20. 20Red Hat Patches 9.8-Rated Linux TCP RCE Flaw While Ubuntu Releases Fixes for TestingEN
  21. 21Anthropic's Claude AI blocks video game cloning and reverse-engineeringEN
  22. 22Westward Ho! First Trip Cross Country with Our New 2026 Tesla Model Y & Full Self Driving V14EN
  23. 23AI, la sfida degli specialisti: oltre i generalisti c’è spazio anche per l’ItaliaEN
  24. 24AI to the Edge: Generative Intelligence for Robotics and Autonomous SystemsEN
  25. 25Build World Models for Interactive Simulation with NVIDIA Cosmos | NVIDIA Technical Blog - NVIDIA DeveloperEN
  26. 26RTL-Interact: Training EDA-Interactive Models for Multi-Task RTL DesignEN
  27. 27V0.5.0 of PSSA: a non-transformer language modelEN
  28. 28The Share of Solar Generation with Co-located Battery Storage Is IncreasingEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Grace Okonkwo

Grace Okonkwo

AI, models and technology

Grace Okonkwo covers AI, models and technology for FLASH24, working from primary sources such as model cards, API documentation and benchmark papers rather than vendor summaries. She checks training data provenance, evaluation conditions and reported scores against the underlying datasets before any figure reaches print. She interviews researchers and engineers directly, tracks release calendars from major labs, and compares successive model versions on the same tests. Her own self-hosting, home-network and documentation-reading habits feed straight into that desk, since she tests tools on her own hardware first. She does not publish benchmark claims without a reproducible method.

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