GMGN leads on all 6 live benchmarks. GMGN wins on Trading platform leaderboard ($112.66M vs $4.74M), Memecoin trading fees (0.92% vs 1.03%), Solana DEX volume ($18.61M vs $3.39M), Average swap size on Solana ($128.42 vs $60.19).
Read methodology Last measured Window: rolling 24h6 shared benchmarks
GMGN is a Solana and EVM memecoin trading terminal combining wallet tracking, smart money copy trading and a Telegram bot. It routes swaps through pump.fun and DEX pools with a configurable slippage and fee.
Trojan is a Telegram trading bot for Solana memecoins. It provides fast sniping, copy trading, limit orders and MEV protection, charging a 0.9% fee per trade routed through pump.fun and Raydium pools.
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
GMGN vs Trojan: which one is better?
GMGN and Trojan are compared on 6 shared OpenChainBench benchmarks. GMGN leads on Trading platform leaderboard. See the live table on this page for every metric.
Which is cheaper, GMGN or Trojan?
On the Trading platform leaderboard benchmark, GMGN leads at $112.66M versus Trojan at $4.74M. Live measurement is updated continuously by the OpenChainBench harness.
How is the GMGN vs Trojan 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.
How this pair was selected
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.
