On-chain lending protocols are beginning to build fixed-rate, fixed-term products around a market that remains overwhelmingly tied to variable borrowing costs. With roughly $28.5 billion in active on-chain loans, floating-rate pools still dominate decentralized credit, leaving borrowers exposed to rate spikes that can raise the cost of leveraged positions precisely when market conditions deteriorate.
Morpho, Jupiter and Kamino are among the largest protocols pursuing alternatives. Together, the three platforms account for $6.83 billion in active loans, according to their protocol data and product materials. Their new designs seek to give borrowers a defined repayment date and a known interest cost, while preserving the capital efficiency that made floating-rate pools the default structure for decentralized finance.
Fixed-rate lending has existed in crypto before, but it has struggled to scale. Liquidity often splinters between different maturity dates, collateral assets and interest-rate levels. Lenders can also be reluctant to lock capital into a loan that may be difficult to exit before maturity, while borrowers may find too little available liquidity at their chosen rate and duration.
Morpho uses uncommitted quotes for fixed-rate matching
Morpho launched Morpho Midnight in July 2026 as an intent-based, zero-coupon lending system designed to address the liquidity problem without forcing lenders to lock funds when they post an offer.
In a zero-coupon structure, the interest rate is embedded in the price of the loan claim rather than paid continuously through an adjustable borrowing rate. Midnight represents positions through transferable debt units and credit units. The price at which those units trade determines the fixed rate for the loan.
The model allows a single wallet to quote across several markets, maturities and price levels without committing assets until a match is settled. That could allow lenders to continue using funds in other markets, including floating-rate venues, until a fixed-term loan actually begins.
Midnight had about $3 million in active loans after its July launch, according to Morpho’s product figures. The amount is small beside Morpho Vaults, which manages more than $4 billion. Those vault assets could eventually provide a deeper source of quoting capital for Midnight if adapters are deployed, though moving vault liquidity into fixed-term markets would depend on how those integrations are configured.
Morpho’s approach also treats early exits as a tradability issue rather than a special withdrawal process. A lender can sell a credit unit, while a borrower can buy back a debt unit to reduce or close an obligation before the scheduled maturity. That gives both sides a route out of a position without requiring every loan to be unwound through the original counterparty.
Tenor Finance has built an application layer on Midnight aimed at making term loans less operationally demanding. Its auto-roll function can move a maturing loan into a new fixed-rate period if liquidity is available. If a new fixed-term match cannot be found, the loan can instead return to Morpho Blue’s floating-rate market.
Tenor also offers on-chain, over-the-counter-style quotes that users can share with approved counterparties. Its role-based account system can limit borrowing and lending access for institutions using compliance or know-your-customer requirements. Those controls would allow customized credit markets to operate on the same underlying settlement structure rather than requiring a separate lending platform for each permissioned group.
Jupiter shifts repayment risk to the lender at maturity
Jupiter’s Offerbook, which entered public testing in June 2026, takes a different route. Its fixed-term lending venue uses intent-based matching and generally offers loans lasting between one and 30 days.
Offerbook does not rely on continuous, price-based liquidation. If a borrower fails to repay at maturity, the collateral transfers directly to the lender. The lender therefore accepts the risk of receiving and holding the pledged asset if the loan is not settled on time.
That design could be useful for collateral with less reliable round-the-clock market pricing, including non-fungible tokens and tokenized real-world assets. Conventional lending markets need dependable price feeds to determine when collateral should be liquidated. Jupiter’s model instead places greater emphasis on a lender’s willingness to underwrite the collateral and accept it at the end of the loan term.
Offerbook had about $450,000 in active loans since launch, according to Jupiter’s figures. Its growth will likely depend less on automated liquidation systems than on whether lenders can reliably price the collateral they may receive following a default.
Kamino proposes fixed-rate reserves inside its existing market
Kamino has proposed integrating fixed-rate lending directly into Kamino Lend rather than creating a separate marketplace. The planned structure would create reserves defined by both interest rate and loan term, effectively forming a grid of available fixed-rate liquidity.
Borrowers would specify collateral, loan size, maximum rate and desired duration. Lenders could offer capital at particular rate-term points. A borrower could wait for a matching quote or draw from liquidity already available in the chosen reserve.
The proposal also includes automatic maturity handling. A loan could roll into the next fixed-rate term where liquidity is available, or return to floating-rate borrowing when no fixed-rate offer can be matched. That fallback preserves access to credit but also means a borrower may eventually face variable costs again if the term market is thin.
Lenders whose capital is already deployed would withdraw through a first-in, first-out queue. Kamino’s proposal caps the maximum wait for withdrawal at the length of the relevant reserve term, giving lenders a clearer time boundary than an open-ended fixed-loan position.
The competition is centered on liquidity, not rates alone
The three designs reflect a common constraint: fixed rates only become useful at scale if the market can assemble enough capital across many combinations of collateral, maturity and pricing. A deep pool for one asset and one duration does little for borrowers seeking another term or collateral type.
Intent-based matching is central to Morpho Midnight and Jupiter Offerbook, while Kamino’s proposed reserve grid would organize liquidity inside an existing lending system. Each method attempts to keep capital productive until a loan is formed, reducing the idle-fund problem that has held back earlier fixed-rate markets.
For borrowers, fixed-term products could make the cost of financing a position easier to model over days or months. For lenders, they introduce a different set of choices: accepting a defined return, managing transferability before maturity, or—in Jupiter’s design—taking direct ownership of collateral after a missed repayment.
The initial loan totals show that fixed-term products remain small compared with the variable-rate lending market. Yet the entry of major protocols with established liquidity bases places fixed-rate credit closer to the core of on-chain lending, where its progress will be measured by whether borrowers and lenders can find dependable liquidity beyond the earliest markets.
Explore how fixed yields compare to DeFi lending risks with Toobit’s DeFi yield strategies guide for smarter on-chain portfolios.
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