Axiom leads on 4 of 5 shared benchmarks, pump.fun on 1. Axiom wins on Trading platform leaderboard ($90.70M vs $28.63M), Average swap size on Solana ($55.39 vs $51.29), Unique daily swap transactions on Solana (1.64M vs 558.2K), Daily active wallets per trading platform (55.7K vs 18.9K). pump.fun wins on Solana DEX volume ($102.04M vs $83.29M).
Read methodology Last measured Window: rolling 24h6 shared benchmarks
Axiom is a Solana-native trading terminal expanding to Hyperliquid perps with a registered builder code, focused on advanced order types and pro-trader UX.
pump.fun is the leading Solana memecoin launchpad. Tokens start on a bonding curve and graduate to PumpSwap (pump.fun's native AMM, launched March 2025) when the curve completes.
Volume figures are sourced from Dune community datasets, which aggregate cross-chain trading activity per platform (Solana, BNB Chain, Base, Robinhood node, HyperEVM, Monad, and more). Data is refreshed every 4 hours. pump.fun volume = bonding-curve Solana swaps (dataset_pumpapp_sol_daily) + cross-chain relay swaps (dataset_pumpfun_relay_daily). Fomo = Solana only (dataset_fomo_sol_daily). All others sum across all blockchains.
Take rate = fees / volume * 100. Fees are on-chain inflows to known fee wallets (Dune query 8316589, refreshed every 6h). Fomo fees come from DeFiLlama (on-chain USDC + off-chain relay). Volume is total Mobula-attributed volume; the take rate is a lower bound since platforms with variable or waivable fees will show lower observed rates.
Volume and revenue data sourced from DeFiLlama's DEX and fees APIs. DeFiLlama attributes volume via on-chain referral tags and program IDs; platforms without standard tags may be undercounted. Figures are 24-hour and 7-day rolling totals updated every 30 minutes. Revenue uses DeFiLlama's dailyRevenue dataType, stripping LP fees. Terminal volume (Axiom, GMGN, Fomo) and launchpad volume (pump.fun) use different attribution methods and are not directly additive.
Average swap size is computed as 24h attributed volume divided by 24h attributed trade count from Mobula lighthouse. Both numerator and denominator include bot and MEV activity; the metric reflects all on-chain swaps attributed to each platform, not human-only trades. pump.fun volume comes from the byLaunchpad bucket (bonding-curve swaps via pump.fun's own frontend); all other platforms come from byPlatform. Attribution is mutually exclusive per Mobula's referral-tag methodology.
Counts unique tx_ids per platform, not unique wallets. Actual unique-wallet count is 3-10x lower since active traders execute multiple transactions per day. Includes bots, MEV searchers, and multi-wallet traders. Terminals (GMGN, Axiom, Fomo, Trojan, Photon, Maestro) use fee wallet inflow detection; pump.fun uses Dune Spellbook (dex_solana.trades, project IN pumpdotfun/pumpswap) to avoid noise from fee-wallet micro-inflows at 0% fee.
Wallet counts are unique wallets per platform per day from Dune community datasets (cross-chain). A wallet using two platforms is counted in each; counts are not mutually exclusive. Includes bots, MEV searchers, and multi-wallet traders. pump.fun wallets come from dataset_pumpapp_sol_daily only (not relay); relay wallets would overlap with pumpapp and double-count. Data represents the most recent complete day, refreshed every 4 hours.
Frequently asked questions
Axiom vs pump.fun: which one is better?
Axiom and pump.fun are compared on 6 shared OpenChainBench benchmarks. Axiom leads on Trading platform leaderboard. pump.fun leads on Solana DEX volume. See the live table on this page for every metric.
Which is cheaper, Axiom or pump.fun?
On the Trading platform leaderboard benchmark, Axiom leads at $90.70M versus pump.fun at $28.63M. Live measurement is updated continuously by the OpenChainBench harness.
Which is cheaper, Axiom or pump.fun?
On the Solana DEX volume benchmark, pump.fun leads at $102.04M versus Axiom at $83.29M. Live measurement is updated continuously by the OpenChainBench harness.
How is the Axiom vs pump.fun comparison measured?
Every benchmark on this page uses the same open methodology, published at https://openchainbench.com/methodology. Data is CC-BY-4.0. Measurement harnesses are MIT-licensed.
Auto-generated pairs require: both providers in the same benchmark for seven consecutive days, at least 1000 samples per provider, observable third-party search demand, and a public /products/[slug] page on OCB. Editorially curated pairs (like this one) may publish early when search demand is high and data is accruing — panels with fewer than 100 samples are shown as provisional. The full pair ledger is versioned in the public repo.
