Solana
Arbitrage
$124.50
Just now
Ethereum
Sandwich
$840.12
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BNB
Liquidator
$45.20
5s ago
Base
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$12.05
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Solana
Jito Bundle
$310.00
12s ago
Polygon
Arbitrage
$8.45
15s ago
Solana
Arbitrage
$124.50
Just now
Ethereum
Sandwich
$840.12
2s ago
BNB
Liquidator
$45.20
5s ago
Base
Arbitrage
$12.05
8s ago
Solana
Jito Bundle
$310.00
12s ago
Polygon
Arbitrage
$8.45
15s ago
InfraEvaluation stage⏱ 4 min read

How Fast Do MEV Bots Execute? Latency Breakdown (2026)

**Answer first** — Modern MEV bots execute the full **detection → simulation → submission → inclusion** cycle in **30–200 milliseconds** on Ethereum and **5–50 milliseconds** on So

Latency timeline of MEV bot from mempool detection to bundle inclusion
FR
FRB TeamMEV Specialists
Last updated
#MEV#Latency#Performance#Infrastructure

Answer first — Modern MEV bots execute the full detection → simulation → submission → inclusion cycle in 30–200 milliseconds on Ethereum and 5–50 milliseconds on Solana. The total time from a target transaction appearing in the mempool to the bot's response landing in a block is dominated by network latency (RPC round-trip) and block time, not the bot's computation. Top searchers run co-located infrastructure that shaves 20-40ms vs cloud bots.

The 4-Stage MEV Latency Breakdown

Every MEV bot operates on this pipeline:

[Detect] → [Simulate] → [Submit] → [Include]
   ↓          ↓            ↓          ↓
  RPC       Local        Relay      Block
  ~30ms    ~5-20ms      ~20-100ms   ~12s ETH / ~400ms SOL

Stage 1: Detection (mempool monitoring)

The bot subscribes to the mempool via WebSocket (WSS) RPC. When a target transaction (large swap, undercollateralized loan) appears, the bot is notified.

Typical latency:

  • Premium RPC providers (BloXroute, Alchemy, QuickNode): 15-50ms
  • Public RPCs: 100-400ms (often unusable for MEV)

The trick: WSS region matters more than raw bandwidth. A bot in Frankfurt connected to a Frankfurt RPC node beats a bot in Tokyo connected to the same provider via US East. See chain-specific WSS guides — for example, best WSS endpoints for Ethereum.

Stage 2: Simulation

Before submitting, the bot simulates the bundle locally to verify profitability and avoid wasted gas on reverts.

Typical latency:

  • Anvil fork (FRB Agent default): 3-15ms
  • Custom EVM (advanced searchers): 1-5ms

This stage is mostly CPU-bound. A modern desktop CPU is faster than most cloud-VM allocations because of dedicated cores.

Stage 3: Submission (bundle to relay)

The bot submits the bundle to a private relay (Flashbots on Ethereum, Jito on Solana).

Typical latency:

  • Flashbots Relay: 30-80ms round-trip
  • Jito Block Engine: 20-60ms
  • BloXroute relays: 15-40ms

Searchers using multi-relay fan-out submit to 3-5 relays simultaneously to maximize inclusion probability.

Stage 4: Inclusion (block production)

This is out of the bot's control — it's just block time:

Chain Block time Inclusion delay
Solana ~400ms Sub-second
BNB ~3s 3 seconds
Polygon ~2s 2 seconds
Ethereum ~12s 6-12 seconds (median)
Base/Arb/OP 2s 2 seconds
Monad ~500ms Sub-second
Berachain ~2s 2 seconds

End-to-End Real Numbers

Combining the stages, here's what a competitive bot achieves on each chain:

Ethereum (slot-based, 12s blocks)

  • Detection: 30ms
  • Simulation: 10ms
  • Submission: 50ms
  • Wait for slot: 0-12s
  • Total to block inclusion: ~6-12s (mostly slot wait)

Solana (continuous block production)

  • Detection: 15ms
  • Simulation: 5ms
  • Submission: 30ms
  • Block production: 400ms
  • Total: ~450ms

L2s (Base, Arbitrum, Optimism — 2s blocks)

  • Detection: 20ms
  • Simulation: 8ms
  • Submission: 40ms
  • Block: 2s
  • Total: ~2.1s

What Makes a Bot "Fast"?

Three factors dominate:

  1. RPC quality (~60% of variance)

    • Region-matched WSS endpoints beat raw bandwidth
    • Premium providers beat public endpoints by 5-10×
  2. Hardware locality (~25% of variance)

    • Local execution > cloud (FRB Agent runs on user's Windows machine)
    • Desktop CPUs > shared VM cores
  3. Code efficiency (~15% of variance)

    • Simulation engine quality (Anvil fork tuning)
    • Bundle assembly micro-optimizations

Why Local Execution Beats Cloud Bots

Cloud-based Telegram bots (Maestro, BONKbot) run on the platform's servers. Every action incurs:

User browser → TG cloud → Bot servers → RPC → Relay

Each hop adds 30-150ms. A user in Singapore using a US-hosted Telegram bot may experience 200-500ms total user-perceived latency.

FRB Agent runs locally on the user's Windows machine, giving:

Local FRB → Premium RPC → Relay

That's typically 80-150ms savings versus cloud Telegram alternatives. On Solana sniping, this is the difference between landing the snipe and missing it.

See FRB vs Telegram Scripts for the full comparison.

The Speed Ceiling

Beyond a point, more speed doesn't help. If your bot detects + simulates + submits in 50ms total, you're already faster than the next block. Competitive edge then shifts to:

  • Strategy quality (which targets to chase)
  • Capital efficiency (right-sized bundles)
  • Inclusion rate (private relay multi-fan-out)

FRB Agent operates within this performance envelope by default.

How to Test Your Latency

Use the WSS Latency Test tool to measure your endpoint quality. If you're seeing >100ms median latency to your chosen RPC, switch providers.

Common Misconceptions

"Faster bot = more money" Only up to a point. Above the speed ceiling, capital and strategy matter more.

"Cloud bots are faster because they have better servers" False. The extra hop through the platform usually costs more than the server upgrade saves.

"Fiber gigabit internet makes my bot faster" Marginal. Latency to RPC matters; bandwidth doesn't (MEV requests are tiny).

Step after reading

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