GMT is a pre-minted float game

GMT’s market structure is dominated by release and sink mechanics, not mint-rate theatrics. The supply was minted at the Token Generation Event, meaning the “emissions” traders experience are really distribution from pre-allocated buckets plus whatever gets burned back out. STEPN’s vesting module frames GMT as the governance token, capped at 6,000,000,000, and minted on March 9, 2022.

That structure creates a clean lens for analysis. Don’t start from FDV. Start from float. CoinGecko’s supply panel reports 3,111,400,155 GMT circulating, 5,073,850,155 total supply, and 6,000,000,000 max supply.

For a contrasting case study, compare this float-first lens with our Curve DAO tokenomics review.

So the tokenomics question that matters is simple. How fast does GMT get into sellable hands, and how reliably does the product pull it out of sellable hands via burns, fees, and lockups.

What GMT does in STEPN

GMT sits above GST in the progression ladder. STEPN’s docs describe GMT as earned when moving with a level 30 Classic sneaker (or with Rainbow sneakers), and it is used inside and outside the app, including marketplace activity.

In practice, GMT demand is engineered through “premium” actions. STEPN explicitly lists GMT burns for sneaker level milestones (including 5/10/20/29/30), gem upgrades for Level 4+, minting sneakers across qualities, attribute point redistribution, and sneaker enhancement.

On the governance side, GMT governance is commonly framed as stake-to-vote, where longer lock periods increase voting power, and stakers can vote on the distribution of staking rewards.

That split matters. “Utility token” narratives usually handwave sell pressure. Here, STEPN is explicit that GMT is meant to be spent, and spent tokens can be destroyed. The token can still work even if governance participation is light, as long as sinks remain credible and the release schedule does not swamp them.

Supply, allocations, and what “circulating” misses

Official docs anchor the top-line numbers. GMT was minted at TGE with 6,000,000,000 minted on March 9, 2022.

The gap between “circulating” and “tradable” is where GMT gets interesting. Circulating supply can still include coins that are practically inert for weeks or months if they are sitting in long-term holders, exchanges’ internal wallets, or app-related accounts that do not reliably hit the spot market. On the flip side, non-circulating allocations can become tradable suddenly if unlocks cluster around the same time as weaker in-app burn demand. Public docs do not provide a single canonical dashboard for effective float (circulating minus sticky balances and minus active lockups), so any precise float model has structural uncertainty.

What is clear is the intended allocation map, typically presented as percentages of total supply, with private-sale and Launchpad token counts broken out.

One more supply nuance is easy to miss if you only look at chain explorers. STEPN runs GMT on multiple chains. The STEPN whitepaper lists GMT contracts on Solana, BNB Chain, Ethereum, and Polygon, and marks the Ethereum contract as inactive.

Emissions: release mechanics, pools, and halving

GMT earning is not “farm till cap.” It is quota-based distribution with a competitiveness component. STEPN’s GMT earning rules state earning was enabled on September 28, 2022, define a daily pool split of 40% to the Classic Pool and 60% to the Rainbow Pool, and describe per-minute dynamics for settlement and allocation.

In Classic Pool, STEPN states Classic sneakers can start earning GMT at level 30, and that higher Comfort generally increases GMT earnings per minute.

The key liquidity structure detail is the pro rata mechanic. STEPN says there is no earning cap for GMT, but the earning rate changes dynamically every 1 minute based on the number of live GMT earners at that time, with settlement every minute.

That design is a double-edged sword for float. When participation is high, individual emissions fall. That can slow sell pressure per user. When participation is low, individual emissions rise, and the marginal seller can get more GMT per unit time. In downcycles, that can keep a persistent drip of supply hitting the market even as demand weakens.

Halving is the formal brake on that release function. STEPN states GMT halving officially commenced on January 1, 2026, after being postponed from October 9, 2024.

From a float-first perspective, postponements matter as much as the halving itself. They remind you that the release curve is at least partly policy-driven. When your supply schedule is governed by parameter changes, you price not just the schedule but the project’s willingness to modify it.

Sinks and fiscal flows: where GMT goes when spent

GMT sinks are broad, and they are mostly tied to aspirational progression. STEPN’s burn list includes: burning GMT to reach certain sneaker levels (including 5/10/20/29/30), upgrading Level 4+ gems, minting sneakers of all qualities, redistributing attribute points, and enhancing sneakers.

There are also “meta” sinks framed as permanent boosts, like burning GMT to increase the GST daily earning cap, improve gem upgrade success rates, and improve odds around shoebox and minting outcomes.

The most consistent sink driver is often not an explicit burn button. It is the pricing unit of the marketplace. STEPN states that since December 10, 2022, sneaker pricing in the Marketplace is set in GMT (with SOL/BNB/ETH only for gas fees depending on realm).

Marketplace flows come with explicit fees. STEPN lists a 2% platform fee and a 4% royalty fee, and also lists 6 as the shoe-minting tax value in its in-app activity table.

Then there is DOOAR, STEPN’s DEX. STEPN states the in-app swap charges a 1% trading fee, split into 0.3% to liquidity providers, 0.6% held at a separate address intended to give back to the ecosystem (including potential GMT buyback and burn), and 0.1% for future development.

Netting it out, GMT’s sink profile is real, but it is not free. It depends on users choosing progression, trading NFTs, and using the swap. When those behaviors slow, sinks weaken quickly while scheduled releases continue. If you want a compact framework for mapping those moving parts, our design components guide is a helpful checklist.

Governance reality: lockups, knobs, and transparency

GMT’s governance posture is “lock to influence.” Two caveats matter for liquidity modeling. First, public docs do not provide a single authoritative, always-updated view of how much GMT is currently locked for governance and for how long. Without that, you cannot cleanly convert circulating supply into effective float. Second, the whitepaper explicitly warns that contents are subject to modification, which is a governance reality check in itself.

STEPN does, however, provide unusually granular transparency on cross-chain supply operations and treasury handling. Its ecosystem fund module states that every month 0.3% of total GMT supply (18,000,000 GMT) is unlocked for ecosystem building, with unspent GMT held in treasury, and it also logs dated bridge and liquidity actions (including the June 17, 2023 supply operation narrative).

If you’re benchmarking governance lockups more broadly, our Compound tokenomics review is a useful reference point.

From a liquidity-structure realist lens, this is the headline. It indicates (1) deliberate consolidation of supply administration, (2) explicit operational control over where liquidity sits across chains and exchanges, and (3) an attempt to reduce uncontrolled minting risk by destroying mint rights, while still keeping distribution active via a multisig process. It increases transparency, but it also makes policy and operational execution a bigger part of the token’s risk surface.

Risk register: GMT’s float and policy risks

GMT’s design tries to balance three forces that rarely cooperate: user rewards, token sinks, and a market price that does not collapse under its own released supply. It can work, but it is fragile when engagement cools. The system’s most defensible pieces are the hard cap and the breadth of in-app sinks. The pressure points are unlock velocity, discretionary parameter changes, and the practical gap between “circulating” and “tradable.”

Top 3 risks

  1. Dominant risk: Effective-float expansion outruns sinks. Trigger: user activity and NFT trading slow while scheduled distribution continues. Mechanism: GMT keeps getting released via move&earn pools and treasury unlocks, while burn demand falls because fewer users are leveling, minting, and upgrading. The pro rata earning mechanic can keep supply dripping even in weak demand regimes. Who bears it: spot holders first, then LPs and market makers through wider spreads and deeper drawdowns. Measurable indicators: circulating supply trend and total supply trend, plus any divergence between total supply and circulating supply, and observable drops in in-app usage proxies (marketplace activity and swap usage) relative to supply growth.

    GMT is pre-minted, so the system cannot “inflate” beyond the cap. That does not save you. Markets price marginal float, not max supply slogans. When more coins become sellable each month, price must be supported by either new demand or credible removal of supply. STEPN’s sinks are optional user choices. That is fine in growth phases. In plateau phases, sinks soften precisely when holders become more price-sensitive.

    Halving helps, but it is not a full solution. STEPN states halving commenced on January 1, 2026 and was postponed from October 9, 2024. That history matters because it shows the release curve can move. The market has to discount not just future unlocks, but future edits to unlocks.

    The practical modeling problem is that effective float is not published as a single metric. Even an estimated circulating supply is still not the same as “sellable next week.” If lockups exist via governance staking, they can reduce effective float, but without a canonical dashboard, you can’t safely assume they do at scale.

  2. Parameter and policy risk. Trigger: STEPN adjusts earning parameters, sink costs, halving timing, or other economic knobs during market stress. Mechanism: because GMT distribution and sinks are implemented via app rules, changes can shift the balance between earned supply and burned supply quickly. Who bears it: users whose ROI assumptions break, and holders exposed to repricing on rule changes. Measurable indicators: explicit whitepaper updates, changelog entries, and documented milestone or mechanism edits like the halving postponement and restart.

  3. Cross-chain liquidity and operational execution risk. Trigger: exchange liquidity issues or cross-chain imbalances lead to rapid bridge operations. Mechanism: STEPN’s transparency log describes repeated burn/mint or lock/mint steps to provision liquidity across chains and venues, including large-scale chain supply migrations and destruction of mint rights. Execution mistakes, custody issues, or market misinterpretation can cause short-term dislocations and spread widening. Who bears it: active traders and any holder needing liquidity during operational transitions. Measurable indicators: new treasury-to-exchange transfers, fresh burn/mint entries in the transparency log, and abrupt changes in per-chain liquidity depth.

If you’re building around GMT exposure, the work is less “what is the max supply” and more “what is the next 6-12 months of net sellable supply after sinks and lockups.” If you want a second set of eyes on that modeling, this is the kind of case where tokenomics design services are mostly about float accounting and scenario stress tests, not narrative polishing. For ongoing market structure notes and crypto research write-ups, see our research reports.



This article is part of our Tokenomics Deep Dive series.