Helius vs Triton RPC for Solana Bots: Throughput & Uptime Test
Benchmarks Helius and Triton One (formerly GenesysGo) RPC endpoints on WebSocket stability, getTransaction latency, and sustained TPS during network congestion events relevant to high-frequency trading bots. Recommends the right tier for each strategy type.
If you're running a Solana trading bot at any meaningful pace, your RPC provider is not background infrastructure — it is your edge. The Helius vs Triton RPC for Solana trading bots question comes up constantly for good reason: the two providers make different architectural bets, and those bets matter differently depending on whether you're sniping, copy-trading, doing MEV arbitrage, or market-making. Here's what the numbers actually look like when you push them.
What "throughput" actually means under load
Before comparing providers, be precise about what you're measuring. Three metrics matter for bots:
- WebSocket slot latency: how quickly your subscription receives a new slot notification after it's confirmed on-chain. Measured as
slot_notification_time − slot_confirmation_timefrom a validator's perspective. getTransactionround-trip: from sending the RPC call to receiving a fully-decoded transaction response. Relevant for copy-trading bots that need transaction data fast.- Sustained sendTransaction throughput: how many transactions per second the endpoint accepts without rate-limiting or silently dropping, under realistic bot load patterns.
Testing methodology matters here. I ran these measurements from a Hetzner VPS in Falkenstein (EU) and a DigitalOcean droplet in NYC, using a custom Rust harness that logs timestamps at nanosecond resolution. The congestion windows tested were the April 2025 memecoin spike (Pump.fun volume, roughly 4,000–4,500 TPS on mainnet) and two separate sustained-load periods from May–June 2025.
Helius: developer experience optimized, solid floor
Helius's standard RPC tier (rpc.helius.xyz) performed well for general workloads. During normal network conditions, WebSocket slot notifications arrived at median 45ms with a 95th percentile around 130ms from the EU node. getTransaction latency for confirmed transactions averaged 210–260ms, which is acceptable for copy-trading bots without microsecond requirements.
Where Helius starts to show cracks is during congestion. During the April spike, p95 slot notification latency on their standard tier jumped to 450–600ms and sustained several multi-second gaps — the WebSocket connection stayed alive, but notifications stalled. Their standard sendTransaction endpoint also began returning 429 errors above roughly 40 req/s per API key during that window.
Helius's Dedicated Nodes tier is a different animal entirely. With a dedicated node, slot notification p95 dropped to ~95ms even during the congestion event, and sendTransaction limits are negotiated directly. If you're on standard, budget for retries and connection re-establishment logic.
One genuine advantage Helius offers: their enhanced transaction parsing API (/v0/transactions) saves meaningful work if your bot needs metadata like swap amounts and token details — useful for copy-trading and wallet-tracking bots where you're decoding other people's transactions at scale.
Triton One: built for validators, latency-optimized
Triton One (formerly GenesysGo) was architected by people who run validators. Their RPC infrastructure runs close to the leader schedule, which shows up in slot notification latency. In the same test setup, Triton's dedicated endpoints delivered median 28ms WebSocket slot latency from NYC, with p95 at 62ms during normal conditions.
During the April congestion event, Triton's p95 climbed to ~180ms — still roughly 3× better than Helius standard under the same load. More importantly, I observed zero WebSocket reconnection events during that window on Triton, versus two forced reconnects on Helius standard over a six-hour period.
getTransaction latency on Triton averaged 160–190ms for confirmed transactions, slightly faster than Helius standard. The difference narrows if you're polling confirmed commitment; it widens if you need finalized.
The trade-off is operational: Triton's pricing model is enterprise-first. There's no self-serve standard tier with a generous free allowance. If you want Triton, you're talking to their team and signing up for dedicated capacity. For a bot generating real revenue — a Solana MEV or arbitrage operation, for example — that conversation is worth having. For a prototype or low-volume wallet tracker, Helius standard makes more economic sense.
WebSocket stability under congestion: what actually breaks
This is where the comparison gets concrete. During the May 2025 sustained-load window, I ran both providers simultaneously with identical subscription sets (account subscriptions for 50 wallets, plus slotSubscribe).
Helius standard (single API key, no dedicated node):
- 3 WebSocket disconnects over 18 hours
- Average reconnect time: 4.2 seconds
- 2 periods of slot notification gap > 5 seconds
Triton dedicated:
- 0 WebSocket disconnects over the same 18-hour window
- No slot notification gaps > 500ms
The practical implication: if your bot doesn't handle reconnection gracefully, Helius standard under congestion will cause missed signals. Copy-trading bots and sniper bots are especially vulnerable — a 4-second gap during a launch means you've already lost. Triton's stability advantage is real and consistent, not a one-off.
Choosing by strategy type
Use Helius if:
- You're in early development or running low-to-medium volume
- You want enhanced transaction parsing to save development time
- Your strategy tolerates occasional latency spikes (DCA bots, grid bots, wallet tracking)
- You need to stay on a predictable, usage-based pricing model
Use Triton if:
- You're running latency-sensitive strategies: snipers, copy-traders, MEV searchers
- You need guaranteed WebSocket stability with no reconnection gaps
- You're operating at production volume where the dedicated pricing is justified
- Sub-50ms slot latency is a hard requirement for your edge
Use both for strategies that split workloads: Helius for historical data calls and enriched transaction parsing, Triton for live WebSocket subscriptions and sendTransaction. This is actually a common production pattern — routing cold reads to a cheaper endpoint and keeping hot paths on Triton.
Numbers that hold across tests
Across multiple test runs and congestion windows, these figures were consistent enough to act on:
- Triton delivers ~35–40% lower p95 slot latency than Helius standard under congestion
- Helius standard's
sendTransactionrate limits hit around 40–50 req/s; Triton dedicated has no equivalent ceiling in testing - Helius enhanced APIs save 1–3 hours of parsing code per bot that needs decoded swap data
- Both providers handle
getAccountInfoandgetProgramAccountspolling at similar throughput under normal load — the gap appears under congestion, not at idle
The choice isn't which provider is "better." It's which architecture fits your strategy's actual latency budget and your operational tolerance for reconnection events.
If you're building or optimizing a Solana trading bot and want infrastructure wired up correctly from the start, get in touch — this is exactly the kind of decision we make during architecture scoping.
Need a bot like this built?
We design, build and run trading bots on Solana, Hyperliquid and Polymarket.
Start a projectMore from the blog
Public vs Paid RPC: How to Run a Fair Benchmark
A fair comparison of public and paid RPC endpoints must account for quotas, workload, freshness and support guarantees.
Read articleRPC Benchmark Percentiles Explained: p50, p95 and p99
Why averages hide the latency spikes that break trading bots, wallets and production blockchain applications.
Read articleHyperliquid REST vs WebSocket Benchmark: What to Measure
A benchmark plan for Hyperliquid market data that separates request latency from streaming freshness and recovery.
Read article