The Crypto Exchange Comparison: 7 Venues Measured for 24 Hours

Most “best crypto exchange” comparisons recycle the same marketing copy the exchanges publish about themselves. We wanted to know what trading actually costs, so we captured 114,586 order book snapshots across 7 major venues over 24 hours and measured the answer.

One number to set the stakes: for a trader running $100,000 of round-trip volume per year on mid-cap altcoins, the measured gap between the best and worst exchange in our study is roughly $180 annually — and that is before accounting for the fee differential between Kraken/Coinbase and the rest, which adds hundreds more. Small per-trade differences compound quickly. The full findings are below.

Quick Verdict

If you only have 30 seconds:

• Majors (BTC, ETH, SOL): Binance wins on measured execution at every order size. OKX, Bitget and Bybit are within 0.1–3 bps behind. Differences are negligible for retail sizes.
• Mid-cap altcoins (LINK, AVAX): The ranking inverts. OKX leads on LINK at most sizes, and Bitget competes strongly on AVAX. Binance underperforms on both.
• Kraken and Coinbase: Higher fees (0.26% and 0.60% taker respectively) make them 2.6× to 6× more expensive per round-trip than the 0.10% cohort. Choose these for regulatory clarity, not for cost.
• US residents: Only Kraken and Coinbase are legally available. The “best execution” debate is moot if you can’t access the exchange.

What We Actually Measured

Four metrics matter for a trader choosing an exchange, and almost no review measures all four honestly:

• Spread — the gap between best bid and best ask, in basis points. It’s the minimum cost of a round-trip before you include fees.
• Slippage — the price impact of a market order of a given size, measured against mid-price. Small orders cross just the top of the book; larger orders eat into depth and move the price.
• Round-trip cost — our headline metric. It combines spread, taker fees (both sides), and slippage (both sides) into a single number: what it actually costs to enter and exit a position.
• Latency — the time between sending an API request and receiving the response. Measured from Tokyo, so absolute numbers will differ from your location, but the relative ranking between exchanges is instructive.

A quick conversion for readers less familiar with the unit: 1 basis point (bp) equals 0.01%. So 20 bps is 0.20%, and 100 bps is 1%. All figures in this article are reported in bps because the differences we measure live at that granularity.

Fees in the round-trip calculation are the public base-tier taker fees at the time of writing: 0.10% for Binance, OKX, Bybit, KuCoin and Bitget; 0.26% for Kraken Pro; 0.60% for Coinbase Advanced Trade. VIP tiers and native-token discounts lower these meaningfully, but the comparison at base tier is the honest starting point for a retail trader.

The Headline Finding: Majors Are a Solved Problem

On BTC/USDT, the five 0.10%-taker exchanges are indistinguishable at retail sizes. A $10,000 market buy shows median slippage of 0.001 to 0.007 basis points — a range so narrow that you would need to run millions of trades to notice the difference in your P&L.

Exchange	Spread p50	Slippage $10k p50	Round-trip $10k
Binance	0.001	0.001	20.00 bps
Bitget	0.001	0.001	20.00 bps
Bybit	0.013	0.007	20.03 bps
KuCoin	0.013	0.007	20.03 bps
OKX	0.013	0.007	20.03 bps
Kraken	0.013	0.007	52.03 bps
Coinbase	0.001	0.001	120.00 bps

All values in basis points (1 bp = 0.01%). Leader highlighted; outliers shown in warning colors — their cost is driven by fee tier, not execution.

The round-trip cost column tells the story: Binance, Bitget, Bybit, KuCoin and OKX all charge approximately 20 bps (0.20%) for a round-trip on $10k of BTC. Kraken charges 52 bps (0.52%) — 2.6× more — entirely because of its 0.26% taker fee. Coinbase charges 120 bps (1.20%) — 6× more — entirely because of its 0.60% taker fee. The execution is fine on both; the fees are what make them expensive.

On ETH/USDT and SOL/USDT, the same pattern holds with minor reshuffling. Binance wins every size category on majors by a small margin. OKX, Bitget and Bybit trade second and third places depending on size. The gap to Kraken and Coinbase on cost remains structural.

The $500,000 test

We ran one larger notional — $500,000 market orders — on BTC and ETH only. At this size, not every exchange’s visible book could absorb the order. Kraken and Coinbase could not fill a $500k BTC market order at any point in our 24-hour window using the public top-50 levels of their books. Binance could fill it in 40% of snapshots. Bitget, KuCoin and OKX filled it substantially more often, though with more impact.

Exchange	Fill rate	Snapshots filled	Median slippage
KuCoin	99.7%	3,264 / 3,274	1.93 bps
Bitget	99.4%	3,255 / 3,274	0.81 bps
Binance	40.0%	1,311 / 3,274	0.27 bps
OKX	28.6%	935 / 3,274	1.55 bps
Bybit	1.9%	63 / 3,274	1.61 bps
Kraken	0%	0 / 3,274	—
Coinbase	0%	0 / 3,274	—

Based on visible top-50 levels of each book. Two interpretations exist — see narration below.

One reading is that Bitget and KuCoin have genuinely deep books on BTC. Another is that their books have thinner levels at better prices and thicker levels further out, which is why they absorb size well but with more impact. Binance has the opposite profile: the best prices at the top but shallower depth if you need to go deep quickly. The honest summary is that none of these exchanges is “wrong” — they represent different liquidity structures.

The Altcoin Story Is Different

The exchanges that dominate majors do not automatically dominate altcoins. This is where the ranking fractures, and where choosing the wrong exchange costs you real money.

LINK/USDT: OKX wins decisively

For a $10,000 market order in LINK/USDT, the measured round-trip cost ranking:

Rank	Exchange	Round-trip cost	vs. #1
1	OKX	23.63 bps	—
2	Bybit	27.53 bps	+3.90
3	KuCoin	28.75 bps	+5.12
4	Bitget	29.97 bps	+6.34
5	Binance	41.24 bps	+17.61
6	Kraken	59.15 bps	+35.52
7	Coinbase	126.28 bps	+102.65

OKX beats Binance by 17.61 bps per round-trip — roughly $176 per year for a trader doing $100k of LINK volume.

Binance’s position here is surprising. Across our 24-hour window, Binance’s LINK/USDT median spread was 10.6 basis points — roughly ten times wider than OKX’s 1.06 bps. This is not volatility or a transient dislocation; it held consistently across the entire sample. The most likely explanation is tick-size structure: Binance quotes LINK/USDT with a coarser minimum increment than OKX, which widens the minimum achievable spread even if the actual liquidity is present.

For a trader doing size in LINK, this makes OKX the measurably cheaper venue by a meaningful margin. At $100,000, OKX’s round-trip cost is 41.58 bps versus Binance’s 52.19 bps — roughly 25% cheaper per round-trip.

AVAX/USDT: Bitget and OKX lead

AVAX shows a similar pattern. For $10,000 orders, Bitget, OKX and KuCoin all come in under 30 bps round-trip. Binance lags at 41.27 bps due to the same wider-spread structure as on LINK. At larger sizes, Bitget’s deeper book pulls ahead — $100,000 round-trip costs 52.18 bps on Bitget versus 53.77 bps on Binance and 61.41 bps on OKX.

SOL/USDT: Back to Binance

Solana trades like a major on every exchange we measured. Volumes are high enough that the tick-size disadvantages we see on LINK and AVAX disappear. For $10,000, Binance wins at 22.33 bps round-trip, with OKX and Bybit within 1 bp. For $100,000, Binance extends its lead to 24.80 bps versus OKX at 27.48 bps. SOL behaves like BTC and ETH for cost purposes.

Latency: The Infrastructure Dimension

Latency is the one metric where geography matters most. Our measurements came from a client in Tokyo. A trader in Frankfurt or Chicago would see substantially different absolute numbers, but the relative ordering between exchanges is informative about their routing and server placement.

Exchange	Median latency	p99 latency
Binance	18 ms	28 ms
KuCoin	23 ms	46 ms
Bitget	26 ms	55 ms
Bybit	83 ms	218 ms
OKX	94 ms	124 ms
Coinbase	209 ms	830 ms
Kraken	1,017 ms	1,341 ms

Public order book endpoint response time, measured from a client in Tokyo. Kraken’s outlier value likely reflects non-optimal routing for our specific endpoint.

Binance, KuCoin and Bitget serve order book requests under 30 ms from Tokyo — essentially the best possible for an Asian client. OKX and Bybit are five times slower at roughly 90 ms, which is fine for manual trading but worth noting for latency-sensitive strategies. Coinbase at 209 ms reflects its US-centric infrastructure. Kraken’s 1,017 ms median is unusual and suggests our measurements may be routing through a non-optimal endpoint for public book data; a trader in Europe or the US would almost certainly see dramatically better numbers.

Tail latency (p99) tells a slightly different story. Binance’s p99 of 28 ms is exceptional — even its worst requests are fast. OKX’s p99 of 124 ms is reasonable given its median. Coinbase’s p99 of 830 ms and Kraken’s 1,341 ms mean that one in every 100 requests takes that long or longer, which can matter for automated strategies that cannot tolerate timeouts.

Tail Risk: What Happens in the p99

Medians are honest, but they hide what happens in the bad moments. If your strategy’s P&L depends on worst-case execution quality — for example, because it runs during volatile events when liquidity thins — the p99 slippage matters more than the median.

Exchange	p50 slippage	p90 slippage	p99 slippage
Bybit	0.007	0.007	0.407 bps
Bitget	0.001	0.127	0.535 bps
Binance	0.001	0.001	0.776 bps
KuCoin	0.007	0.243	1.094 bps
Coinbase	0.001	0.514	1.313 bps
OKX	0.007	0.325	1.370 bps
Kraken	0.007	1.679	3.427 bps

Slippage on $10k BTC market orders, sorted by p99 (lower is better). Six of seven exchanges stay under 2 bps even in worst cases.

This table is for $10k BTC market orders over 24 hours. The takeaway: even the worst 1% of observed slippage is under 2 bps on six of the seven exchanges. Kraken’s 3.4 bps tail is twice any competitor and correlates with the long-latency observations — if your snapshot arrives stale, the computed impact is larger. It is difficult to separate “real book thinness” from “measurement artifact” here, so treat Kraken’s tail with some caution.

Who Should Use Which Exchange

The measured data maps cleanly to use cases. Rather than rank exchanges globally, we rank them by what you’re actually trying to do.

If you trade BTC, ETH, and SOL at retail sizes ($100–$10k)

Binance is the measurably lowest-cost venue, but the margin is small enough that the decision should turn on other factors: regulatory availability in your country, API ecosystem, product breadth you need. OKX, Bitget and Bybit are all within 0.1 bps. Pick the one whose product suite matches your needs.

Recommended primary: Binance. Recommended secondary: OKX for redundancy.

If you trade LINK, AVAX, or other mid-cap altcoins

The ranking inverts. OKX is the cheapest venue we measured on LINK across almost every size tier. Bitget competes on AVAX. Binance is meaningfully more expensive on both pairs because of wider tick-size structure.

Recommended primary: OKX. Recommended secondary: Bitget for AVAX-heavy strategies.

If you run automated strategies via API

Latency matters more than fee differences at this level. From Asia, Binance (median 18 ms) and KuCoin (23 ms) are the fastest. From the US or Europe, you should run your own latency tests from your server location before committing. OKX‘s API quality is excellent, but its latency from Asia is five times worse than Binance’s.

Recommended primary: Binance if absolute latency matters; OKX if API design and DeFi integration matter more. Bybit is a credible third option.

If you need US-regulated access

You have two real choices: Kraken and Coinbase. Both charge substantially more than offshore alternatives on a per-trade basis — Kraken 2.6× and Coinbase 6× more than the 0.10% cohort — but both offer regulatory clarity and custody practices that offshore venues do not match. Kraken is meaningfully cheaper than Coinbase, though the gap narrows at VIP tiers.

Recommended primary: Kraken for active trading. Coinbase Advanced Trade for those prioritizing institutional compliance.

If you move significant size ($50k+) on altcoins

Book depth matters more than headline spreads. OKX and Bitget both absorbed our $500k BTC tests reliably; their deep-book profiles likely extend to altcoins. Binance remains best at the absolute top of the book but has shallower depth than its reputation suggests. KuCoin‘s deep book also stood out.

Recommended primary: OKX for altcoins at size. Bitget as a strong alternative.

If you’re a complete beginner

None of our measurements change the beginner advice: start on Coinbase or Kraken. You will pay more in fees, but the regulatory clarity, institutional custody, and simpler interfaces are worth the cost while you learn. Migrate to the cheaper venues once you have operational experience.

Decision Matrix

Condensed to one table:

Your situation	Best primary	Best secondary
BTC/ETH retail trading	Binance	OKX
Altcoin trading (LINK, AVAX, similar)	OKX	Bitget
Automated / API trading (Asia)	Binance	OKX
Large size on altcoins ($50k+)	OKX	Bitget
Futures / derivatives focus	Binance	Bybit
DeFi integration from a CEX	OKX	(no real alternative)
US resident	Kraken	Coinbase
Complete beginner	Kraken or Coinbase	Migrate later

What We Did Not Measure

Honest comparative work requires naming what the data does not cover:

• Hidden liquidity. We measured visible order book depth. Some exchanges internalize flow or match through hidden liquidity that does not appear in the public book. Real fills on large orders can be better than the simulated impact we report.
• Slippage during order placement. Between the moment we observe the book and the moment an order would reach the matching engine, the book changes. In volatile conditions the difference between simulated and actual slippage can be several basis points. Our numbers are best interpreted as costs in calm conditions.
• Futures and perpetuals. This study covers spot markets only. Perps have different dynamics, funding rates, and fee structures that warrant separate analysis.
• Withdrawal reliability. We did not test actual withdrawals. Exchanges can process deposits and trades flawlessly while delaying withdrawals or requesting additional KYC at withdrawal time. This is an operational risk that is real but not measurable from the outside.
• Security posture. We report fee and liquidity data. Whether an exchange will still exist to service your account in 12 months is a separate and harder question.

Methodology

This comparison is based on 114,586 order book snapshots captured programmatically over a 24-hour window starting April 21, 2026. We used the CCXT library to access each exchange’s public REST endpoint for order books, fetching the top 50 levels of each side of the book (100 levels on KuCoin, which requires that specific parameter).

Snapshots were taken every 30 seconds across 7 exchanges and 5 pairs, yielding approximately 3,270 observations per exchange-pair combination. Kraken and Coinbase do not list USDT pairs for the assets in this study, so we used their USD-quoted equivalents (BTC/USD, ETH/USD, SOL/USD, LINK/USD, AVAX/USD). This is a minor limitation — USDT and USD are not identical, though they are close enough that the comparison on these pairs is informative.

For each snapshot we simulated market orders of $100, $1,000, $10,000, $50,000 and $100,000 (plus $500,000 on BTC/USDT and ETH/USDT only), walking the book to compute the volume-weighted average execution price and the resulting slippage versus mid-price. Round-trip cost was calculated as spread + 2 × taker_fee + 2 × one-side slippage, approximating the total cost of entering and exiting a position at market.

Client location was Tokyo. Latency figures are therefore favorable for Asian-located exchanges and unfavorable for US and European ones. Readers in other regions should interpret latency figures as relative indicators rather than absolute benchmarks.

The error rate over the full sample was 0.003% (4 failed requests in 114,590 attempts), distributed across exchanges without pattern. The data is robust enough to support the conclusions drawn.

References

1. Kissell, R. (2013). The Science of Algorithmic Trading and Portfolio Management. Academic Press. (On market impact measurement methodology.)
2. Glosten, L. R., & Milgrom, P. R. (1985). “Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders.” Journal of Financial Economics, 14(1), 71–100.
3. CCXT Library Documentation. Available at: https://docs.ccxt.com/
4. Buterin, V. (2022). Having a safe CEX: proof of solvency and beyond. Available at: https://vitalik.eth.limo/general/2022/11/19/proof_of_solvency.html