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Nvidia backs Higgsfield, the app that sits between creators and the video models

Nvidia and TCV joined Higgsfield's Series B extension without saying how much they put in. The $1B run rate is four weeks of revenue times 13, first reported in September, and Higgsfield is itself an Nvidia GPU customer moving to Vera Rubin. The stronger case for the aggregator is its own demand: makers paying for one login across Seedance, Kling and Wan.

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Nvidia CEO Jensen Huang in a black leather jacket at Stanford University in April 2026

At half past two on Saturday afternoon, UTC, Higgsfield's chief executive Alex Mashrabov put the week's news in his own words on X. "@jensenhuang and NVIDIA just invested in Higgsfield," he wrote, before making the bigger claim: "The moat is ownership of demand, and we clearly own one." The post passed 200,000 impressions by Monday.

The replies that traveled furthest were not about demand at all. A Spanish-language post from @Nozelcode, seen about 72,000 times, laid out the loop. In our translation: Nvidia invests in Higgsfield, Higgsfield needs more GPUs to make videos, Nvidia sells more GPUs, and Higgsfield keeps growing. Both readings are partly right, and for anyone who buys Seedance or Kling seconds through Higgsfield, the gap between them is the story.

What was announced, and what wasn't

Bloomberg had the investment first, early on Friday 23 October, and Higgsfield's own release followed at 12:17 UTC. Nvidia and the growth investor TCV have joined an extension of the Series B round that DST Global led in August. Variety reports that the company declined to disclose the amounts, and no outlet has a new valuation. The only price on record is still August's: $400 million at a $5.4 billion valuation. According to Variety, this is Nvidia's first investment in Higgsfield.

The timing was as much diplomatic as financial. The news landed during Jensen Huang's first visit to Kazakhstan, where Higgsfield co-founder and CTO Yerzat Dulat is from and where, CNBC reports, more than 300 of the company's staff work. Huang kept his public comment general: "The first thing and the last thing is you invest in people, not companies," he said at a fireside chat in Astana, as reported by CNBC and The Astana Times.

The $1 billion is a September number

The release repeats that Higgsfield "crossed $1 billion in annualized revenue in September," eighteen months after launch. That figure is not new this week. Bloomberg reported it on Thursday 24 September, and Higgsfield's own blog explained it five days later with unusual candor: "We get to our $1 billion figure by taking our revenue from the last four weeks and multiplying it by 13." The same post answers the obvious question with a flat "No" when it asks whether Higgsfield earned $1 billion in the past year. By our arithmetic, the run rate means roughly $77 million billed in four weeks.

Mashrabov has defended the method on the 20VC podcast, saying annual plans are spread across the year and that "it's only live revenue." That is a fair way to count, and still a company figure that no auditor has signed. The other numbers in the release work the same way. Users rose from 32 million on 29 September to more than 40 million on 23 October, with no definition of a user. Enterprise, the release says, is "growing more than 100% month over month," from a base the company hasn't given.

One line deserves a closer read. The release cites "independent commercial spend data from Ramp" naming Higgsfield the fastest-growing image and video AI vendor. Ramp's public page measures adoption, meaning the share of its business customers who pay for a tool, not how much they spend. On that page Higgsfield is used by 38 percent of Ramp customers that buy anything in the category, up 31 points in a year, which puts it second behind Midjourney at 39 percent. The growth is real, though it says nothing about spend.

What Higgsfield actually sells

Higgsfield is best understood as a storefront for other companies' models with its own tools on top. Its API price sheet (the rates developers pay to plug the models into their own software), which we read on Monday, lists Seedance 2.0 and 2.5, Kling 2.5 through 4.0 and Wan 3.0 next to its in-house Genjutsu models, and its consumer plans add Veo 3, Nano Banana Pro and FLUX.2. Its X feed this week was mostly showcases of other labs' models. That is what Mashrabov means when he writes that Higgsfield turns "competition at the foundation layer into compounding advantage for our customers."

The business underneath is shifting too. In its 29 September post, Higgsfield said subscriptions "once accounted for more than 90%" of revenue and "now account for just over 60%," with the rest coming from on-demand usage. The company frames that as customers doing more work. For a maker on a monthly plan, it also means a growing share of what people pay Higgsfield is charged per generation, on top of the plan.

  • Model on Higgsfield's API: Seedance 2.5 (4 to 30s, up to 1080p). List price, from: $0.206 per second; Max-discount price, from: $0.144 per second
  • Model on Higgsfield's API: Seedance 2.0 (4 to 15s, up to 4K). List price, from: $0.141 per second; Max-discount price, from: $0.099 per second
  • Model on Higgsfield's API: Kling 4.0 (3 to 30s, up to 1080p). List price, from: $0.094 per second; Max-discount price, from: $0.066 per second
  • Model on Higgsfield's API: Wan 3.0 (2 to 30s, up to 1080p). List price, from: $0.050 per second; Max-discount price, from: $0.020 per second
  • Model on Higgsfield's API: Genjutsu, Higgsfield's own (up to 1080p). List price, from: $0.318 per second; Max-discount price, from: $0.159 per second

Those are developer API prices from open.higgsfield.ai, read on 26 October, and the lowest mode of each model. Consumer plans are sold in credits and have changed in recent weeks, so check the live page before you budget.

Why Nvidia's cheque proves less than it looks

The card version of this story says Nvidia backing an aggregator is the clearest signal yet that the layer between creators and models is a business in its own right. The money supports that less than it seems. Higgsfield is an Nvidia customer: the release says it has scaled "from L40 and A40 GPUs through the Hopper and Blackwell generations" and "is now expanding to NVIDIA Vera Rubin to meet growing demand," running Nvidia's Dynamo software on its own GPU infrastructure. Nvidia's Rev Lebaredian put the logic plainly: "the application layer is where those tokens become useful." A supplier investing in a fast-growing buyer is ordinary strategy.

It is not a first, either. A widely shared post claimed Nvidia had spent years selling GPUs "without touching the application layer." Variety notes Nvidia has invested in Runway twice, and its venture arm NVentures backed the avatar company Synthesia in January. With the stake size undisclosed, nobody outside the two companies can say how big a bet this is.

The stronger case for the aggregator is Higgsfield's own numbers. A storefront that reached a claimed $1 billion pace without owning the most popular video model it sells is evidence that creators value one login, one credit balance and fast access to whatever launched this week. One of the replies we pulled made the counterpoint bluntly: makers can go direct to the model labs' APIs.

What it means if you make things on Higgsfield

For most of the makers we cover, Higgsfield is where they first touch a new model, and its pricing decides how many takes a short film can afford. A better-funded storefront with a chip maker on the cap table probably means faster access to new models and more capacity at launch. The shift toward on-demand revenue is the part to watch: if more of the bill moves from the plan to per-generation charges, the cost of iterating rises even when the headline subscription price doesn't.

Our take: Nvidia's money is a vote for Higgsfield's demand, not proof that aggregators beat model labs. Makers should keep comparing its per-second prices with the labs' own and keep their projects portable.

Timeline

  • Date: 2023. Event: Higgsfield founded by Alex Mashrabov, Yerzat Dulat and Mahi De Silva; Source: Variety; PR Newswire
  • Date: May 2026. Event: Hell Grind premieres at the Marché du Film in Cannes; Source: Variety
  • Date: Mon 17 Aug 2026. Event: Series B: $400M at $5.4B, led by DST Global; $700M run rate claimed; Source: PR Newswire
  • Date: Thu 24 Sep 2026. Event: Bloomberg reports the $1B run rate; Source: AdExchanger, 25 Sep
  • Date: Tue 29 Sep 2026. Event: Higgsfield blog explains the four weeks x 13 method and the revenue mix; Source: Higgsfield blog
  • Date: Fri 23 Oct 2026. Event: Bloomberg, then the release: Nvidia and TCV join the Series B extension, amounts undisclosed; Source: PR Newswire; Variety; CNBC
  • Date: Fri 23 Oct 2026. Event: Huang in Astana: "you invest in people, not companies"; Source: The Astana Times; CNBC
  • Date: Sat 24 Oct 2026. Event: Mashrabov on X: "The moat is ownership of demand"; Source: X API

Sources and what is unconfirmed: Higgsfield's PR Newswire releases (17 Aug and 23 Oct 2026) and blog posts (29 Sep and 23 Oct), read in full; Variety (Corbin Bolies, 23 Oct); CNBC (23 Oct); The Astana Times (23 Oct); Investing.com's write-up of Bloomberg (23 Oct); AdExchanger (25 Sep); the 20VC transcript; Ramp's Higgsfield vendor page and Higgsfield's API price sheet, both read on 26 Oct; X API pulls on 26 Oct. Unconfirmed: the size of either investment, any new valuation, every revenue and user figure (all company-stated and unaudited), and the release's $30 to $150 per million token video yield, which cites only "industry benchmarks." Bloomberg's own stories are paywalled and were read through other outlets.

Your Voice

$1B run rate in 18 months isn't luck. there are a dozen competitors with good products. Nvidia coming in for series B is insane.

@ishaangodhaa on X

Realistically, it's just an aggregator. It blew up originally for Seedance 2.0 4k and Kling, but you can get direct API access to those. It's even more expensive than direct access.

@thefusioncube on X

Nvidia backing an AI video startup makes sense to me. Video is one of the most GPU-hungry jobs in AI, so every Higgsfield user is future chip demand.

@Kentngu16759136 on X

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