tl;dr
- Polygon's fee mechanism previously capped network capacity below its true maximum, which created artificial scarcity and drove fee spikes during high-demand periods
- A recent hardfork enabled the network to run at full 110M gas capacity at all times, giving it more room to absorb volume spikes without triggering user bidding wars
- The result: gas prices that track closer to target and fewer priority fee spikes during high-activity windows
- For institutions running payment or settlement operations on Polygon, this means lower cost variance and infrastructure that behaves more consistently under load.
Institutions don't accept variable pricing for core infrastructure.
You don't sign a data center contract that lets costs swing 10x during peak load. You don't build a treasury operation on rails where settlement costs are unknown until the moment of execution. That kind of technology isn’t built to scale.
Polygon's Open Money Stack is designed to move money the way institutions actually need it to move: globally, predictably, with settlement that doesn't fail at the moments that matter.
Predictable fees are load-bearing infrastructure for that system. When transaction costs spike 50x during peak demand, that foundation cracks. But blockchain infrastructure has largely asked institutions to accept this reality.
A recent upgrade changed how Polygon Chain manages transaction fees.
The result is a network that holds its full capacity at all times, absorbs demand spikes more cleanly, and delivers more stable, predictable costs.
Why fees spiked in the first place
Polygon's fee model follows Ethereum, and has two components.
The base fee is the floor cost for any transaction. It rises automatically when demand is high and falls when demand is low, designed to manage congestion without requiring users to intervene. The priority fee is optional, an add-on users pay when they want faster inclusion during moments of heavy competition.
In a well-functioning system, the base fee does most of the work. Priority fees stay small and predictable.
The problem was in how Polygon managed fee pricing on the back end. One of the levers used was temporarily capping the network's available block space below its true capacity.
The network's real maximum is 110M gas per block. In practice it might run at 70M.
The intent was to make the base fee algorithm perceive demand as proportionally higher, pushing fees up. It worked as a pricing mechanism. But it introduced a structural vulnerability.
What happens when capacity is artificially constrained
A network running at 70% of its true capacity has less room to absorb sudden volume spikes. Some of Polygon's largest demand events happen in tight windows: overlapping settlement cycles, bursts of concurrent activity that hit the network faster than a constrained system can handle.
When that happens, block space becomes scarce. The base fee can't respond fast enough. Users start competing through priority fees instead, bidding against each other for inclusion.
The data reflects this clearly.
In observed cases, the base fee sat around 151 gwei while priority fees spiked to roughly 1,300 gwei. The expected priority fee floor is 25 gwei.
That gap is not normal market behavior.
For institutions, this is a cost forecasting problem. If priority fees can spike 50x during high-demand windows, you cannot reliably model what blockchain settlement will cost at the moments when you need it most.
What the recent upgrade changes
The update removes the gas limit cap. Polygon now runs at its full 110M gas capacity at all times. A new base fee mechanism handles pricing without constraining available block space.
When a volume spike hits, the network has room to absorb it. Transactions get processed. The base fee adjusts through the mechanism rather than through user competition. Priority fees stay closer to their intended floor.
Three things follow directly from this:
- Peak throughput increases when compared to the capped state.
- Average gas prices track closer to target with lower volatility.
- Priority fee spikes become less frequent and smaller when they do occur.
For institutions, the operational implication is straightforward. The network behaves more predictably under load. Cost variance decreases. Settlement operations run against infrastructure that holds up at exactly the moments that matter.
What this points toward
Smoothing gas fees is one step on a longer journey.
Polygon is building toward a model that serves institutional needs for massive payments systems: committed capacity, fixed pricing, denominated in dollars.
That architecture is in development. Today, the groundwork for a network that operates at full capacity is live: Fees will be priced through a mechanism designed for that purpose, without manufacturing scarcity when demand rises.
Predictable infrastructure has to be reliable under load before anything else can be built on top of it.
That is what this update delivers.



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