DEX Aggregator Comparator #3 bis - Execution on Solana
Purpose
At @JumperExchange we closely monitor every source of liquidity we integrate, both regarding quote quality (as in the quoted tweet) but also on quality execution>
As promised, this is a second episode specifically for Solana DEX aggregators @Titan_Exchange @DFlowProtocol and @JupiterExchange on Jumper.
Setup
We tested all executed transactions using combinations of USDC, SOL, jitoSOL, USDT, USDe, TRUMP, PENGU, PUMP across all trade sizes.
Results
1. Execution Performance
Titan seems to be slightly more consistent to dFlow and Jupiter if we look at the median execution quality.
Overall, Titan and DFlow seems super close together while Jupiter is a bit lagging behind for P10t to P25 execution.
2. Quote vs. Execution
When comparing quotes vs. execution we have approximately the same results.
Jupiter execution is 5bps below the quote vs. 1bps for DFlow and almost 0 for Titan.
A quick glimpse at the global distribution also suggest that Titan also offers execution that are higher than the quote between P75 and P90.
Overall, our findings are close to the ones we did on the quote analysis.
DFlow and Titan being close to each other with Titan being slightly more consistent (and even more pessimistic) while Jupiter (not ultra) is lagging a bit behind.
One caveat is that execution analysis is never an apple to apple comparison as it's nearly impossible to get same execution environments.
Restraining the analysis to main pairs traded and taking a large number of trades tends to shrink the uncertainty.
DEX Aggregator Comparator #3 — Solana
Purpose
At @Jumper, we closely monitor every source of liquidity that we aggregate on every chain.
We compare liquidity venues across different trade sizes ($100 → $1M+) and token routes (majors, majors-stables, memecoins) and then evaluate 3 key metrics:
P50 → Median deviation (slippage) vs. best quote
P10 → 10th percentile deviation (slippage) vs. best quote
Win Rate → # Routes won / # Routes tested
Caveat
Quote analysis should not the only component to comparing between each other.
Execution efficiency of real transaction is an even more important parameter
However quoting helps knowing if a specific provider is underperforming/overperforming vs. others and if yes on which routes exactly is the problem.
Setup
We tested 21 routes using combinations of USDC, SOL, jitoSOL, ZEC, PENGU, PUMP and JUMP, across trade sizes ranging from $500 to $1,000,000 — each simulated multiple times.
Wherever possible, quotes were simulated onchain to avoid relying blindly on off-chain quote outputs (though not all venues support that).
4 liquidity venues were tested:
Titan @Titan_Exchange available on Jumper
DFlow @DFlowprotocol available on Jumper
Jupiter @JupiterExchange available on Jumper
Jupiter Ultra V3 not available (yet?) on Jumper
Results
1. Median Performance (P50)
All aggregators show exceptional consistency, with median performance within 1 bps — a level of competition not yet observed for either Plasma or HyperEVM.
Jupiter UltraV3 and Titan appear slightly more competitive overall, while Jupiter trails by 0.2 bps and DFlow by 0.7 bps.
2. Extreme Performance (P10)
Even when considering the least favorable quotes, all providers remain highly consistent.
Jupiter, Ultra, and Titan perform within the same range, whereas DFlow lags primarily due to two specific routes — SOL–ZEC and USDe–SOL — where quotes are 15–20 bps worse compared to others.
3. Win Rate
Across the 21 routes analyzed, all four providers manage to deliver the best quotes at least once.
Jupiter Ultra and Titan stand out as the most competitive overall.
Takeaways
The market appears to be reaching a point of strong efficiency where incremental gains are increasingly difficult to achieve.
If you want to swap effortlessly on Solana with the best possible rate, visit @JumperExchange
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