Solana Q1 transaction volume: 25.3 billion transactions vs. Ethereum's 200 million transactions: The underlying logic of the restructuring of the public chain landscape

In the first quarter of 2026, the Solana chain processed approximately 25.3 billion transactions, while Ethereum recorded only 200 million during the same period, making Solana’s transaction volume about 125 times that of Ethereum. This stark data gap has prompted the market to reassess the actual on-chain activity of the two public chains.

From the perspective of DeFi trading activity, Solana held a 30.6% market share in DEX spot trading in the first quarter, ranking first among all chains. In the stablecoin sector, Solana’s monthly stablecoin trading activity reached about $650 billion in February, nearly tripling the previous month, driven mainly by new stablecoin products like USDPT and JUPUSD.

However, the first quarter of 2026 was also a macro-pressure quarter. Geopolitical tensions and risk-averse sentiment led to a roughly 22% decline in total crypto market capitalization, with all six major crypto sectors posting negative returns. The total fees on the Solana network dropped to $89.9 million, the lowest level since Q3 2023, down 68% year-over-year. Network GDP contributed by top applications was $451 million, a 54% decrease year-over-year, indicating a significant cooling of overall on-chain economic activity compared to previous cycles.

What does the 125-fold transaction volume gap really mean?

Simply comparing transaction counts may not fully reflect the competitive landscape among public chains. Solana and Ethereum differ fundamentally in their technical architecture and value positioning, which determines the types of economic activities they support are quite distinct.

Solana adopts a high-throughput, low-latency architecture, focusing on high-frequency, low-value transaction scenarios, including decentralized trading, gaming interactions, and bot trading. Surpassing 10 billion transactions in the first quarter demonstrates its capacity for large-scale execution environments. Ethereum’s design emphasizes value settlement and security, with each transaction often representing higher economic value. Even with fewer transactions, Ethereum’s role as a settlement hub for stablecoins, RWA assets, and DeFi liquidity remains solid.

In terms of competitive dynamics, Ethereum briefly overtook Solana’s DEX market share in March, reaching 27% compared to Solana’s 26%. Looking at the full year, Solana’s DEX trading volume decreased by 26.5% year-over-year, while BNB Chain held a 24.5% market share in second place, just under Ethereum’s 23.7%. This indicates that competition among public chains is not about a single chain’s absolute dominance but a dynamic game of alternating leadership across different time windows and niche scenarios.

Why is developer ecosystem the most critical leading indicator?

Developers are the primary drivers of on-chain activity, and their flow often signals the future application ecosystem trajectory over the next 6 to 12 months. In Q1 2026, Solana attracted 4,100 new developers, with developers accounting for 23% of the ecosystem, while Ethereum’s developer share declined. This shift is seen by the market as a leading signal of structural migration in on-chain momentum.

Developer growth drives two logical chains: first, more developers building on Solana directly lead to more DApp deployments and user interactions, boosting on-chain transaction volume; second, new applications—especially in payments, stablecoins, and DeFi protocols—will attract larger stablecoin liquidity into the ecosystem.

It’s worth noting that this developer migration is not simply a “winner-takes-all” scenario but reflects differentiated fulfillment of developer needs across chains. Solana’s ongoing investments in tooling, hackathon activity, and the Firedancer client ecosystem are gradually narrowing the gap with Ethereum in developer experience.

How does the 12-fold YoY growth in stablecoin scale impact on-chain settlement capacity?

Stablecoins are the core blood of on-chain economic activity, and their scale expansion directly reflects network settlement demand. Solana co-founder Raj Gokal pointed out that Solana’s stablecoin market cap grew from about $1 trillion last year to nearly the same level in recent months, representing approximately 12 times year-over-year growth.

Multiple factors drive this rapid growth: first, Solana’s low fees and high speed make it an ideal platform for stablecoin payments; second, emerging stablecoins like JUPUSD now offer yield features, further attracting user holdings and circulation; third, two US banks now provide USDC settlement services on Solana, marking institutional capital entry.

By the end of Q1, Solana’s total stablecoin supply reached about $15.9 billion, up 18% YoY. Despite this impressive growth, the circulation velocity of stablecoins decreased by 69% YoY, suggesting that overall economic activity may be less intense than previous cycles, with more funds “dormant” rather than actively circulating.

Why do on-chain fundamentals and relative valuation diverge?

Despite Solana’s significant lead over Ethereum in key metrics like transaction volume, developer growth, and stablecoin scale, the SOL/ETH ratio declined by 5.84% in the first quarter, exemplifying a typical “strong on-chain, weak relative valuation” divergence.

This divergence can be understood from several angles: first, macro liquidity tightening suppresses overall risk appetite in crypto assets, with funds favoring safe havens over high-growth narratives. Second, Solana’s on-chain revenue heavily depends on retail trading and speculative activities, which tend to cycle down after the speculative frenzy at the end of 2024 and early 2025. Third, Ethereum’s core value anchors—security, liquidity, and institutional adoption—show stronger resilience in bear markets, leading markets to be cautious about Solana’s high volatility on-chain activity.

Historical experience suggests that when a chain’s on-chain activity and developer ecosystem expand persistently but its price lags, the market often catches up after “data continues to validate.” However, this process depends on macro liquidity improvement and risk appetite recovery, and short-term data advantages do not necessarily translate into immediate relative price performance.

How are the two major chains reshaping their competitive landscape through technological upgrades?

2026 is seen as a critical year for direct competition between Ethereum and Solana, with both chains advancing their most significant technical iterations.

Ethereum’s Glamsterdam hard fork plans to increase the gas limit from 60 million to 200 million, theoretically boosting throughput from about 1,000 TPS to 10k TPS, with smart contract call fees expected to drop by approximately 78.6%. Following that, the Hegotá upgrade will further reduce slot times, introduce anti-censorship mechanisms, and implement account abstraction. Ethereum’s upgrade logic is shifting from “the safest settlement layer” toward “a higher-performance financial infrastructure.”

On the Solana side, Alpenglow and Firedancer form a dual upgrade engine. Alpenglow aims for sub-second transaction finality, while Firedancer, as an independent validation client, seeks to enhance network redundancy and fault tolerance. Solana’s upgrade trajectory is moving from “the fastest transaction chain” toward “a more reliable global settlement layer.”

The convergence of these paths is noteworthy: Ethereum is demonstrating that “the most secure system can also be fast,” while Solana is proving that “the fastest system can also be sufficiently reliable.” As transaction costs continue to decrease, the differentiation among chains shifts from cost competition to scenario-specific specialization—Ethereum focusing on stablecoins, RWA, and DeFi settlement and liquidity, Solana emphasizing high-frequency payments and trading scenarios.

In the long term, what are the core variables in public chain competition?

Looking ahead, the essence of public chain competition is no longer “whose story is bigger” or “whose community is more lively,” but “who can sustain real financial flows without dropping the ball.” The key variables can be summarized into four dimensions:

1. The actual flow of stablecoins, RWAs, and on-chain capital. The capacity to carry real economic value will determine a chain’s long-term ecosystem position, beyond just transaction counts or active addresses.

2. The sustainability of the developer ecosystem. Short-term influxes of new developers need to translate into sustainable active developer retention; this conversion rate is more critical than absolute numbers. Currently, Solana is experiencing a “cooling” period, with developer numbers down about 30% YoY, and ongoing retention performance warrants close monitoring.

3. The depth and breadth of institutional adoption. The extent of bank-grade stablecoin settlement, tokenized asset issuance, and compliance framework development will decide whether a chain can break out of retail narratives and enter the mainstream financial infrastructure competition.

4. The actual quality of technological upgrades. 2026 is not the end but a public qualification round. Whether Glamsterdam and Alpenglow can be launched smoothly and on schedule will directly impact market trust in the long-term engineering capabilities of both chains.

Summary

In Q1 2026, Solana processed 25.3 billion transactions (about 125 times Ethereum’s), attracted 4,100 new developers (developer share up to 23%), and saw stablecoin scale grow 12 times YoY, leading in multiple on-chain metrics. However, the SOL/ETH ratio declined by 5.84% in the quarter, and network fees fell 68% YoY, signaling a cooling trend. These signals suggest the market has yet to fully price in this narrative.

Both chains are simultaneously upgrading through Glamsterdam, Alpenglow, and other initiatives, shifting from a route confrontation to a convergence evolution. In the long run, the outcome of public chain competition depends not on short-term data leadership but on the true flow of stablecoins, RWAs, and on-chain capital, as well as the structural transformation of developer ecosystems from incremental growth to sustainable retention.

FAQ

Q1: Solana’s transaction volume in Q1 was 25.3 billion, while Ethereum’s was only 200 million. Does this mean Solana has fully surpassed Ethereum?

The huge gap in transaction counts mainly reflects fundamental differences in architecture and value positioning. Solana’s high-throughput design is naturally suited for high-frequency, low-value transactions, while Ethereum emphasizes high-value settlement. DEX market share data shows Ethereum briefly overtook Solana in March, and BNB Chain was close behind throughout the year, indicating that public chain competition is a multi-dimensional, dynamic game rather than a single-chain dominance.

Q2: What does the increase in developer share to 23% imply?

Developers are a leading indicator of on-chain activity. Growth in new Solana developers often signals increased application launches and activity over the next 6 to 12 months. However, Solana is currently experiencing a “cooling” period, with total developer numbers down about 30% YoY. Long-term retention of developers is more important than absolute growth figures and warrants ongoing observation.

Q3: Why did the SOL/ETH ratio decline despite strong on-chain data?

The divergence mainly stems from: macro liquidity tightening suppressing risk appetite; Solana’s on-chain revenue heavily relying on cyclical speculative activities; and market caution toward Solana’s high volatility. Historical experience shows that when on-chain fundamentals continue to validate but prices lag, the market may catch up after conditions improve, but this requires macro environment support.

Q4: What are the focus areas of the technical upgrades for Solana and Ethereum?

Ethereum’s Glamsterdam and Hegotá upgrades focus on layer 1 scalability and block production optimization, aiming to enhance Ethereum’s capacity as a high-performance financial base. Solana’s Alpenglow and Firedancer focus on sub-second transaction finality and client redundancy. Both are moving from adversarial routes toward convergence, aiming to become more reliable global settlement infrastructures.