Bloom vs Maestro

Name: Bloom vs Maestro OpenChainBench measurements
Creator: OpenChainBench
License: https://creativecommons.org/licenses/by/4.0/

Maestro leads on the only live benchmark. Maestro wins on Average swap size on Solana ($98.95 vs $72.16).

Read methodology Last measured Thu, 13 Aug 2026 21:14:28 UTCWindow: rolling 24h1 shared benchmark

Bloom

Maestro

Maestro is a suite of Telegram trading bots for DeFi — Sniper, Wallet, Whale and Buy — trusted by traders on Solana, Ethereum, BNB Chain and Base. It charges a 1% fee on each sniped buy.

Side by side measurements

Average swap size on Solana: pump.fun vs GMGN vs Fomo vs Axiom, live

Trading

Bloom

Trails

$72.16

p99: $72.16
rank: #6
samples: 15,048

Maestro

Leads

$98.95

p99: $98.95
rank: #3
samples: 14,080

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.

Frequently asked questions

Bloom vs Maestro: which one is better?

Bloom and Maestro are compared on 1 shared OpenChainBench benchmarks. Maestro leads on Average swap size on Solana. See the live table on this page for every metric.

Which is cheaper, Bloom or Maestro?

On the Average swap size on Solana benchmark, Maestro leads at $98.95 versus Bloom at $72.16. Live measurement is updated continuously by the OpenChainBench harness.

How is the Bloom vs Maestro 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.