The monumental launch of FLock Open Model Offering (FOMO) finalises FLock’s evolution into a full-cycle AI platform with a balanced supply-demand ecosystem that drives innovation across the industry.

FLock has been busy building a system that makes the creation of specialised, high-value AI models a financially sustainable and profitable activity, without requiring the central control of a major centralised corporation. This is the positive sum game of decentralised AI that everyone benefits from.

As the world’s leading DeAI infrastructure, we have a complete flywheel. Now that the supply side is strong from AI Arena, FL Alliance, AI Marketplace, API Platform and native token $FLOCK, it’s time for FOMO to bring the demand.

As a one-of-a-kind unified interface, FOMO streamlines access to models on our API Platform and provides discounted hosting for AI inference. Its power lies in its disruptive pricing. By leveraging the token economy, its franchise model uniquely solves the pricing problem that hampers traditional cloud or gateway providers.

Celebrating one year of mainnet operations, FLock has built a robust network of high-quality models and engineers. We have seen exceptional growth and forged major partnerships with the likes of Alibaba Qwen and the NHS and became the United Nations Development Programme (UNDP)’s AI strategic partner.

We welcome all models to fair launch on FOMO – not just ones trained on AI Arena – and get visibility on platform.flock.io. If you’re a developer or AI company looking to get started with FOMO, see our other blog to find out how.

The finalisation of our ecosystem is a leap forward for the decentralised AI movement.  FOMO is the final, demand-driven piece that completes the world’s first full-cycle DeAI platform. We’ve been busy building for the past two years, and the supply-side parts of our ecosystem have excelled. 

AI Arena is our flagship platform for competitive and collaborative model training. It demonstrates how traditional centralised AI development is far from the only way to build powerful models. Our native on-chain token $FLOCK enables tokenomics mechanisms designed to enhance and incentivise secure ecosystem participation.

FL Alliance is a privacy-focused collaboration framework that enhances models while preserving data sovereignty – a critical feature for enterprise and government partners like the NHS. 

Through AI Arena and FL Alliance, we’ve seen the practical potential for FLock technology to have a tangible impact in numerous corners of life and the world. These parts of our ecosystem bring the supply, and FOMO is the way AI companies will find and use models.

Until FOMO, the standard prices for AI inference were set by cloud providers (like AWS and Alibaba Cloud) and gateways (like OpenRouter and SiliconFlow). Their prices are dictated by the cost of compute, since they cannot price inference below hosting costs without making a loss.

Traditional cloud providers typically offer AI inference through two primary models that anchor costs to raw compute: usage-based token pricing and provisioned infrastructure fees. Since they bear the full, non-subsidised cost of the hardware, a cloud provider can never price the model inference below the raw compute and operational costs without incurring a direct loss.

Traditional gateways are excellent for streamlining the use of AI models. They transform the fragmented and costly world of AI into a manageable, secure, and cost-optimised utility. But they still rely on purchasing compute from the underlying cloud providers or model owners. They are forced to operate by applying a small markup or passing through the base cost (token pricing) established by the cloud provider. They cannot lower the cost floor.

The API Platform is the gateway, and FOMO is the fair launchpad. Together, they provide developers with hosting and seamless access to models from various AI providers through a single API. 

Unlike other gateways and launchpads, FLock adopts a “franchise” business model, which is only possible through a token economy. FOMO achieves dramatically lower prices than current market rates by incentivising token holders to subsidise inference costs while profiting from appreciated model tokens. The selling point is twofold: AI companies and builders get cheaper inference, and model token holders benefit from increased token value the more the model gets used.

The platform provides the infrastructure (kitchen), the Real Model Asset (RMA) issuer acts as the franchise owner (distributor), and the $FLOCK token incentivises the bootstrap phase. This design ensures that incentives are high during the risky early phase and taper off as the model achieves organic market fit.

FLock provides the underlying platform and infrastructure to host models. RMA issuers initiate offerings and self-use or solicit model users to boost the model revenue. The $FLOCK token incentivises bootstrap phase, capturing value via Protocol Fee Buybacks.

FOMO fundamentally changes the competitive dynamics and pricing power of major centralised AI providers (like OpenAI, Google, Anthropic). Beyond correcting the cost structure, FOMO acts as a crucial market regulator that addresses the anticompetitive practices of centralised AI labs.

Centralised labs rely on an incremental release strategy. They release marginally better model versions (e.g. GPT-4.1, 4.2) and price them based on their proprietary cost structure and their already established market dominance (“legacy benchmarks”). They don't have to deliver revolutionary leaps because enterprise customers, once integrated, face high switching costs and have no viable low-cost alternatives. This allows them to maintain a “valuation bubble” with prices that exceed the true cost-to-value ratio.

FOMO introduces a new, ultra-low, competitive baseline for inference that is mathematically unachievable by centralised providers. Unless a new centralised model offers cost-efficiency gains that vastly outweigh FOMO’s ultra-low inference rates, enterprises will lack the financial incentive to incur switching costs for a marginally better “update.”

In doing so, FOMO forces centralised labs to deliver genuine innovation (not just incremental improvements) to justify their premium pricing. This dynamic serves as a necessary market check against monopolistic pricing power, securing the long-term, equitable viability of the DeAI movement.

The core constraint of all traditional cloud providers and gateways is the price floor: they cannot charge less than their hosting costs. FLock’s FOMO model breaks this barrier by turning the constraint into an investment opportunity – token issuance enables inference to be priced below long-term equilibrium margins in the bootstrap phase by shifting early-stage margin risk.

The tokenomics is tried and tested. We’ve been enhancing our mechanisms all year to enhance ecosystem participation and designed the tokenomics to be sustainable and secure. FOMO lets anyone launch model tokens in exchange for hosting services on the FLock API Platform. With this launch, specific model tokens will be issued. Users can stake them to secure discounted API rates.

Unlike speculative launchpads, FOMO anchors assets to real utility. Each model token represents genuine demand for model usage. To combat inflation of the total supply, a portion of all revenue generated by the API Platform will be used to buy back and burn the relevant model tokens. As usage increases, the buy-back-and-burn mechanism reduces supply, driving value accrual for the designated model tokens and allows users to benefit from asset appreciation.

The system prioritises consumption over emission. $FLOCK is utilised across various participation mechanisms within the FOMO launchpad, establishing a positive economic flywheel where ecosystem demand outpaces token supply.

No centralised authority is necessary to enforce the deflation. Instead, the entire trustless economy is managed by transparent smart contracts with autonomous governance. 

An incentivisation strategy underpins FOMO’s tokenomics, allowing AI inference rates to undercut traditional pricing. Model token holders subsidise the margin for more utilisation of the models – that is, they forfeit some margin but can in the long run earn more by model token ($MT) deflation. The RMA issuer’s ultimate incentive is not the profit margin earned from a single inference transaction, but the appreciation of their $MT assets.

During the bootstrap phase only, there will be $FLOCK emissions. During this critical period, emissions will incentivise genuine adoption. Specifically, $FLOCK rewards will be distributed to those staking on actively used models. Users get significantly lower inference costs through upfront discounts via model token staking and retroactive rebates via $FLOCK emissions.

It’s all been leading up to the FOMO launch, and we couldn’t be more proud. Find out more about FLock.io by reading our docs and blogs. See a sneak peak of new launches coming in Q4 2025 and our FLock 2025 earnings report: performance & growth overview. Stake, train and earn on train.flock.io.

For future updates, follow FLock.io on X.

The monumental launch of FLock Open Model Offering (FOMO) finalises FLock’s evolution into a full-cycle AI platform with a balanced supply-demand ecosystem that drives innovation across the industry.

FLock has been busy building a system that makes the creation of specialised, high-value AI models a financially sustainable and profitable activity, without requiring the central control of a major centralised corporation. This is the positive sum game of decentralised AI that everyone benefits from.

As the world’s leading DeAI infrastructure, we have a complete flywheel. Now that the supply side is strong from AI Arena, FL Alliance, AI Marketplace, API Platform and native token $FLOCK, it’s time for FOMO to bring the demand.

As a one-of-a-kind unified interface, FOMO streamlines access to models on our API Platform and provides discounted hosting for AI inference. Its power lies in its disruptive pricing. By leveraging the token economy, its franchise model uniquely solves the pricing problem that hampers traditional cloud or gateway providers.

Celebrating one year of mainnet operations, FLock has built a robust network of high-quality models and engineers. We have seen exceptional growth and forged major partnerships with the likes of Alibaba Qwen and the NHS and became the United Nations Development Programme (UNDP)’s AI strategic partner.

We welcome all models to fair launch on FOMO – not just ones trained on AI Arena – and get visibility on platform.flock.io. If you’re a developer or AI company looking to get started with FOMO, see our other blog to find out how.

The finalisation of our ecosystem is a leap forward for the decentralised AI movement.  FOMO is the final, demand-driven piece that completes the world’s first full-cycle DeAI platform. We’ve been busy building for the past two years, and the supply-side parts of our ecosystem have excelled. 

AI Arena is our flagship platform for competitive and collaborative model training. It demonstrates how traditional centralised AI development is far from the only way to build powerful models. Our native on-chain token $FLOCK enables tokenomics mechanisms designed to enhance and incentivise secure ecosystem participation.

FL Alliance is a privacy-focused collaboration framework that enhances models while preserving data sovereignty – a critical feature for enterprise and government partners like the NHS. 

Through AI Arena and FL Alliance, we’ve seen the practical potential for FLock technology to have a tangible impact in numerous corners of life and the world. These parts of our ecosystem bring the supply, and FOMO is the way AI companies will find and use models.

Until FOMO, the standard prices for AI inference were set by cloud providers (like AWS and Alibaba Cloud) and gateways (like OpenRouter and SiliconFlow). Their prices are dictated by the cost of compute, since they cannot price inference below hosting costs without making a loss.

Traditional cloud providers typically offer AI inference through two primary models that anchor costs to raw compute: usage-based token pricing and provisioned infrastructure fees. Since they bear the full, non-subsidised cost of the hardware, a cloud provider can never price the model inference below the raw compute and operational costs without incurring a direct loss.

Traditional gateways are excellent for streamlining the use of AI models. They transform the fragmented and costly world of AI into a manageable, secure, and cost-optimised utility. But they still rely on purchasing compute from the underlying cloud providers or model owners. They are forced to operate by applying a small markup or passing through the base cost (token pricing) established by the cloud provider. They cannot lower the cost floor.

The API Platform is the gateway, and FOMO is the fair launchpad. Together, they provide developers with hosting and seamless access to models from various AI providers through a single API. 

Unlike other gateways and launchpads, FLock adopts a “franchise” business model, which is only possible through a token economy. FOMO achieves dramatically lower prices than current market rates by incentivising token holders to subsidise inference costs while profiting from appreciated model tokens. The selling point is twofold: AI companies and builders get cheaper inference, and model token holders benefit from increased token value the more the model gets used.

The platform provides the infrastructure (kitchen), the Real Model Asset (RMA) issuer acts as the franchise owner (distributor), and the $FLOCK token incentivises the bootstrap phase. This design ensures that incentives are high during the risky early phase and taper off as the model achieves organic market fit.

FLock provides the underlying platform and infrastructure to host models. RMA issuers initiate offerings and self-use or solicit model users to boost the model revenue. The $FLOCK token incentivises bootstrap phase, capturing value via Protocol Fee Buybacks.

FOMO fundamentally changes the competitive dynamics and pricing power of major centralised AI providers (like OpenAI, Google, Anthropic). Beyond correcting the cost structure, FOMO acts as a crucial market regulator that addresses the anticompetitive practices of centralised AI labs.

Centralised labs rely on an incremental release strategy. They release marginally better model versions (e.g. GPT-4.1, 4.2) and price them based on their proprietary cost structure and their already established market dominance (“legacy benchmarks”). They don't have to deliver revolutionary leaps because enterprise customers, once integrated, face high switching costs and have no viable low-cost alternatives. This allows them to maintain a “valuation bubble” with prices that exceed the true cost-to-value ratio.

FOMO introduces a new, ultra-low, competitive baseline for inference that is mathematically unachievable by centralised providers. Unless a new centralised model offers cost-efficiency gains that vastly outweigh FOMO’s ultra-low inference rates, enterprises will lack the financial incentive to incur switching costs for a marginally better “update.”

In doing so, FOMO forces centralised labs to deliver genuine innovation (not just incremental improvements) to justify their premium pricing. This dynamic serves as a necessary market check against monopolistic pricing power, securing the long-term, equitable viability of the DeAI movement.

The core constraint of all traditional cloud providers and gateways is the price floor: they cannot charge less than their hosting costs. FLock’s FOMO model breaks this barrier by turning the constraint into an investment opportunity – token issuance enables inference to be priced below long-term equilibrium margins in the bootstrap phase by shifting early-stage margin risk.

The tokenomics is tried and tested. We’ve been enhancing our mechanisms all year to enhance ecosystem participation and designed the tokenomics to be sustainable and secure. FOMO lets anyone launch model tokens in exchange for hosting services on the FLock API Platform. With this launch, specific model tokens will be issued. Users can stake them to secure discounted API rates.

Unlike speculative launchpads, FOMO anchors assets to real utility. Each model token represents genuine demand for model usage. To combat inflation of the total supply, a portion of all revenue generated by the API Platform will be used to buy back and burn the relevant model tokens. As usage increases, the buy-back-and-burn mechanism reduces supply, driving value accrual for the designated model tokens and allows users to benefit from asset appreciation.

The system prioritises consumption over emission. $FLOCK is utilised across various participation mechanisms within the FOMO launchpad, establishing a positive economic flywheel where ecosystem demand outpaces token supply.

No centralised authority is necessary to enforce the deflation. Instead, the entire trustless economy is managed by transparent smart contracts with autonomous governance. 

An incentivisation strategy underpins FOMO’s tokenomics, allowing AI inference rates to undercut traditional pricing. Model token holders subsidise the margin for more utilisation of the models – that is, they forfeit some margin but can in the long run earn more by model token ($MT) deflation. The RMA issuer’s ultimate incentive is not the profit margin earned from a single inference transaction, but the appreciation of their $MT assets.

During the bootstrap phase only, there will be $FLOCK emissions. During this critical period, emissions will incentivise genuine adoption. Specifically, $FLOCK rewards will be distributed to those staking on actively used models. Users get significantly lower inference costs through upfront discounts via model token staking and retroactive rebates via $FLOCK emissions.

It’s all been leading up to the FOMO launch, and we couldn’t be more proud. Find out more about FLock.io by reading our docs and blogs. See a sneak peak of new launches coming in Q4 2025 and our FLock 2025 earnings report: performance & growth overview. Stake, train and earn on train.flock.io.

For future updates, follow FLock.io on X.