We Benchmarked Every Major Solana Trading API. LaserSell is 2-5x Faster.

LaserSell — Tue, 03 Mar 2026 00:00:00 +0000

LaserSell builds Solana swap transactions 2-5x faster than PumpFun SDK, PumpPortal, and Jupiter. Open-source benchmarks you can verify yourself.

In volatile memecoin markets, milliseconds matter. The difference between 75ms and 300ms? Missing your exit while the price crashes.

We benchmarked LaserSell against every major way to build Solana swap transactions: PumpFun SDK, PumpPortal, and Jupiter's Metis API. The results are open-source and reproducible.

TL;DR: LaserSell is 2-5x faster than alternatives.

Results

Buy Transaction Build (0.01 SOL, 20% slippage, 20 samples)

Method	Median (ms)	Avg (ms)	Min (ms)	Max (ms)	vs LaserSell
LaserSell API	71.16	71.21	62.77	81.30	—
PumpPortal API	141.44	151.08	120.96	246.40	2.0x slower
Jupiter Metis API	168.11	179.83	153.17	370.01	2.4x slower
PumpFun SDK	364.92	790.94	278.57	4,570.26	5.1x slower

Sell Transaction Build (1,000,000 tokens, 20% slippage, 20 samples)

Method	Median (ms)	Avg (ms)	Min (ms)	Max (ms)	vs LaserSell
LaserSell API	71.72	74.77	65.13	108.67	—
PumpPortal API	120.59	152.08	111.91	554.96	1.7x slower
Jupiter Metis API	174.92	181.73	155.88	222.54	2.4x slower
PumpFun SDK	317.28	541.00	277.65	2,029.10	4.4x slower

LaserSell consistently delivers sub-80ms median transaction builds across both buy and sell operations. More importantly, the variance is tight: an ~19-44ms spread between min and max, compared to 125ms+ (and often 2,000ms+) for other methods.

Predictable latency matters as much as raw speed.

What These Numbers Mean

For Traders

71ms vs 365ms can determine whether you catch a 10x pump or miss it
Tighter variance (~19ms spread) means fewer "unexpectedly slow" transactions
In high-volatility markets, every millisecond counts

For Developers

One API call instead of 5+ RPC roundtrips
No quote → swap two-step flow
No waiting for on-chain state lookups
Consistent performance under load

What We Tested

These benchmarks measure transaction build latency: the time from API request to receiving a signed, ready-to-send transaction.

What we tested:

✅ Transaction construction time
✅ API response time
✅ Serialization overhead

What we didn't test:

❌ Network confirmation time (depends on Solana network, not the API)
❌ Transaction success rates (would require actual sends)

How Each Method Works

LaserSell API:

Single HTTP request → server builds transaction → returns base64-encoded transaction.

PumpFun SDK:

5+ RPC calls to fetch bonding curve state, token accounts, recent blockhash → local transaction assembly.

PumpPortal API:

Single HTTP request → server builds transaction → returns serialized transaction.

Jupiter Metis API:

Two sequential HTTP requests: quote endpoint → swap endpoint with quote ID.

The key difference: roundtrip count and server-side optimization.

Methodology

Benchmarks ran on a MacBook Pro with consistent network conditions:

1 warmup iteration (discarded)
20 timed iterations per method
2 second delay between runs (avoid rate limiting)
process.hrtime.bigint() for nanosecond-precision timing
Same Pump.fun token across all tests
20% slippage tolerance (standard for volatile memecoins)
PumpFun SDK used Shyft RPC endpoint (all tests used the exact same RPC and token to eliminate variables)

Run It Yourself

The entire benchmark suite is open-source. Clone it, run it on your hardware, and verify these results yourself:

git clone https://github.com/lasersell/benchmarks.git
cd benchmarks
cp .env.example .env  # add your API keys

Each benchmark lives in its own directory. To run the buy transaction build benchmark:

cd buy-tx-build
npm install && npm run build
npm run bench

To run the sell transaction build benchmark:

cd sell-tx-build
npm install && npm run build
npm run bench

Both benchmarks accept CLI overrides for mint, wallet, amount, slippage, and iteration count. See the repo README for the full list of options.

We encourage you to run these benchmarks and share your results. If you think our methodology can be improved, open an issue and we'll update the benchmarks accordingly.

Want to see different scenarios? The benchmark suite accepts custom parameters. Test with different token amounts, slippage settings, or RPC endpoints. All results are reproducible.

Why This Matters

Speed Compounds

In a typical trading session, you might build 10-50 transactions. If each transaction takes 365ms instead of 71ms to build, you're losing 294ms × 50 = 14.7 seconds of cumulative latency.

In memecoin markets where prices can move 20-50% in seconds, this adds up fast.

Reliability Under Load

The tight variance in LaserSell's results means consistent performance even during network congestion. Other methods show 5-10x higher variance, indicating they're more sensitive to external factors.

Get Started with LaserSell

If you're building Solana trading infrastructure and speed matters:

Read the docs — Get started with the API in 5 minutes
Try it free — Free tier available, no credit card required
Join Discord — Talk to the team and other builders
View source — Open-source client, MIT licensed

Built for developers who care about performance.

Questions about the benchmarks? Open an issue or reach us on X @lasersellhq.

DEV Community: LaserSell