Leadership1 distinct publisher3 min readPublished
Omni 1.1 Flash pushes generated sequences to 40 seconds in 10-second increments and adds a cheap 360p draft tier, which turns a demo into something a content team can schedule. The 4K export rate is still unpublished.
The Board Room · Leadership desk
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The ten-cent second is a division problem rather than a rate card entry. Google bills 5,792 output tokens for every second of 720p video, and video output is priced at $17.50 per million tokens [6], which comes to $0.1014 a second [2]. An unchanged headline rate is therefore an unchanged token rate [5]. For anyone building a plan, that yields two round numbers: a full 40-second sequence at 720p runs about $4.00 [3], and the same 40 seconds drafted at 360p runs about $1.33 [4].
List price is not the budget, and the one worked example in the record shows why. Higgsfield AI's Hell Grind, a 95-minute AI-generated science fiction feature that screened around Cannes in May 2026, was made in roughly two weeks for about $500,000, of which about $400,000 went to AI compute, and it still required a 15-person team [16]. Its first 25 minutes took more than 16,000 initial generations to arrive at 253 final shots [17], about 63 attempts per surviving shot [5]. Compute absorbed 80 percent of the budget [6], and $400,000 across 5,700 seconds of finished runtime is roughly $70 per delivered second [7], on different tooling in a different year, but the ratio is the lesson. The money is in the discard pile, which is what the draft tier is actually repricing.
A skeptic has a fair objection, and Ron Schmelzer, a Forbes contributor, put it plainly: Google's growing set of overlapping video products and entry points "could make the product story harder for users to follow" [18]. For a scheduling decision, though, the entry point matters less than whether the rate holds and whether the tool sits inside the workflow already in use, and WPP has integrated Omni Flash into WPP Open while Adobe plans to add it to Firefly [10]. Sprawl still carries a cost, and OpenAI has just shown its shape: the Sora product is no longer available, and the Sora 2 models and Videos API are deprecated with a shutdown date of September 24, 2026 [15]. Committing a production line to a video product is a bet on which entry point survives the vendor's own reorganisation.
The 40 seconds is cumulative, not continuous. A single generation still stops at 10 seconds [2], continuity comes from the model reading up to 10 seconds of prior footage instead of only the final second [3], and that state is carried forward by Google's stateful Interactions API, which passes the previous video and its references into the next request [8]. Meanwhile the model card still lists character consistency across edits and accurate text rendering as open problems [11]. The pilot worth running this quarter is therefore a test of the joins between increments and of any on-screen type, not of whether 40 seconds can be produced at all.
In board-deck terms, AI video became a schedulable line item at four dollars per 40 seconds. But the deck leaves out the delivery format: Google publishes no per-second rate for 360p, 1080p or 4K [7], so nobody can put a fixed cost on the file that actually ships. A team can commit to a drafting cadence this quarter and still be unable to sign a fixed-price deliverable next quarter, and that asymmetry is the trade this release offers.
Ranked by verification strength, evidence, and original report placement.
Google DeepMind released Gemini Omni 1.1 Flash on Aug. 27, raising the limit for generated video sequences from 10 seconds in the previous release to a cumulative 40 seconds, built in 10-second increments.
A single Omni 1.1 generation still stops at 10 seconds; the 40-second limit is reached by repeating 10-second segments.
A new 360p draft mode runs up to 60% faster than the standard 720p setting and is priced at one third of it, with finished output exporting at 1080p or 4K. The speed claim is based on Google's own system throughput as of Aug. 27.
Hell Grind, a 95-minute AI-generated science fiction action film from Higgsfield AI, screened around Cannes in May 2026. It was made in roughly two weeks for about $500,000, of which about $400,000 went to AI compute, and it still required a 15-person team.
The model now reads up to 10 seconds of prior footage before continuing a shot, rather than only the final second.
Pricing is unchanged at roughly $0.10 per second of 720p video on the paid tier, the same rate charged when the developer API launched on June 30. Omni 1.1 is listed on the paid tier only.
Distinct publishers with included, body-backed reporting in this cluster.
1 article · August 27, 2026
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Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Specific and checkable, but single-source and vendor-originated
The article cites a published pricing page and model card and gives falsifiable numbers -- 5,792 output tokens per second, $17.50 per million video output tokens, the 10-second per-generation cap, the 40-second cumulative limit -- which makes the cost arithmetic reproducible. It also documents its own gaps: no per-second rate above 720p and a 60% speed figure that is Google's own throughput comparison. Everything rests on one publisher's reading of vendor material, with no independent benchmark or second outlet.
Broad distribution and one live partner, no usage data
Availability is wide and concrete: Gemini API, AI Studio, the enterprise agent platform, Flow for AI Plus/Pro/Ultra subscribers worldwide, and scene extension in the Gemini app. One named third-party integration is live (WPP Open) and one is only planned (Adobe Firefly). There are no seat counts, request volumes, revenue figures or customer-side usage disclosures for Omni, so adoption is inferred from shipped surfaces rather than measured demand.
Headline framing runs slightly ahead of the shipped capability
The '40 seconds' framing overstates what one call produces -- a single generation still stops at 10 seconds and the limit is reached by chaining segments -- and the '60% faster' figure is vendor self-reported. The article partially self-corrects by stating both facts plainly, publishing the token math, flagging the undisclosed rates above 720p, and citing Hell Grind's roughly $70 of compute per finished second as a counterweight to the $0.10 headline. The residual gap is modest and comes mainly from vendor-supplied numbers left unverified.
Vendor-shaped inputs on a launch-day story
The material facts originate with the party that benefits: Google set the capability framing, supplied the throughput comparison behind the 60% claim, chose which rates to publish, and controls the distribution and partner announcements. Withholding rates above 720p while advertising 1080p/4K export is itself a commercially convenient disclosure choice. Counter-incentive signals are present -- a named Forbes critique of product sprawl, the model card's open problems, and rival capability comparisons -- but no independent testing offsets the vendor-sourced core.
Moderate: internally coherent, wholly un-triangulated
Numbers are consistent within the cluster and the derived arithmetic checks out against the published token rates, which supports the pricing conclusions. But a single publisher carries every claim, the performance figure is unverified, and adoption is measured only by shipped surfaces, so confidence stops at moderate for pricing and lower for capability and traction.