Benchmark report

Vercel thumbnail

Is vercel.com slow?

Homepage load times from 5 cities

Fast globally

Vercel responds quickly from all 5 test locations. San Francisco was fastest at 64 ms; Amsterdam took 98 ms.

Fastest
64 ms
San Francisco
Slowest
98 ms
Amsterdam
Successful requests
100%
5 of 6 locations

Response time around the world

Amsterdam 98ms typicalSan Francisco 64ms typicalMontreal 66ms typicalSingapore 69ms typicalTokyo 64ms typicalMumbai —
  • United StatesSan Francisco
    64 ms
  • JapanTokyo
    64 ms
  • CanadaMontreal
    66 ms
  • SingaporeSingapore
    69 ms
  • NetherlandsAmsterdam
    98 ms
  • IndiaMumbai
    Collecting since 7 Sept 2026

The slow days are still in the numbers

In the controlled run of 7 September the median request in every city finished in 47 to 81 ms: connecting took 2 to 4 ms, the TLS handshake 6 to 16 ms, the wait for the first byte 33 to 50 ms and the download 3 to 12 ms. The daily runs tell two stories. From 30 August to 3 September every city was slower, Singapore most of all with daily medians of 285 to 406 ms and Tokyo at 284 to 484 ms; since 4 September all five cities have answered in 40 to 98 ms. Those five slow days are still part of the pooled typical times. The slower times sit far above them because they are the median of two controlled runs, and one of those runs was on 30 August, inside the slow period.

Click the location to see each stage.

ConnectTLSServer waitDownload
NetherlandsAmsterdam
81 ms
Finding the server
3 ms
Reaching the server
3 ms
Setting up security
16 ms
Waiting for the server: most of the time
50 ms
Receiving the response
12 ms
Total
81 ms

Finding the server is measured once per location, so it sits outside these bars. Open a city to see it.

Bars show the typical request, so the parts add up to its total. Why

Compare all locations

Click a city to see its stage-by-stage breakdown.

ConnectTLSServer waitDownload
NetherlandsAmsterdam
81 ms
Finding the server
3 ms
Reaching the server
3 ms
Setting up security
16 ms
Waiting for the server: most of the time
50 ms
Receiving the response
12 ms
Total
81 ms
United StatesSan Francisco
53 ms
Finding the server
10 ms
Reaching the server
4 ms
Setting up security
9 ms
Waiting for the server: most of the time
33 ms
Receiving the response
7 ms
Total
53 ms
CanadaMontreal
47 ms
Finding the server
10 ms
Reaching the server
2 ms
Setting up security
7 ms
Waiting for the server: most of the time
35 ms
Receiving the response
3 ms
Total
47 ms
SingaporeSingapore
50 ms
Finding the server
3 ms
Reaching the server
2 ms
Setting up security
7 ms
Waiting for the server: most of the time
34 ms
Receiving the response
7 ms
Total
50 ms
JapanTokyo
50 ms
Finding the server
1 ms
Reaching the server
3 ms
Setting up security
6 ms
Waiting for the server: most of the time
36 ms
Receiving the response
5 ms
Total
50 ms

The phases come from the controlled run of 7 September 2026. Typical times pool daily requests; slower times use controlled full runs. 5 of 6 test locations included: Amsterdam, San Francisco, Montreal, Singapore, Tokyo.

Finding the server is measured once per location, so it sits outside these bars. Open a city to see it.

Bars show the typical request, so the parts add up to its total. Why

Vercel still feels slow?

Check Vercel’s status page
Platform and edge incidents are posted there before they show up in a benchmark.
This is not a benchmark of your deployment
A site on Vercel has its own build output, caching rules and functions. Functions, the dashboard and the build pipeline are not measured here.
Served from Vercel’s edge
The homepage came from four different addresses across our cities in the controlled run, 34 ms apart at most, the pattern of an edge network. Which edge serves your visitors depends on where they are.

Response time over the last 30 days

Daily median of 5 requests per location, 13 August 2026 to 12 September 2026.
05001000 ms13 Aug12 Sept5 locations joinedMumbai joinedAmsterdam, 28 August 2026: 246 ms, well above its usual level.Amsterdam, 29 August 2026: 234 ms, well above its usual level.Amsterdam, 29 August 2026: 245 ms, well above its usual level.Amsterdam, 30 August 2026: 279 ms, well above its usual level.Amsterdam, 31 August 2026: 238 ms, well above its usual level.Amsterdam, 1 September 2026: 242 ms, well above its usual level.San Francisco, 28 August 2026: 202 ms, well above its usual level.San Francisco, 29 August 2026: 201 ms, well above its usual level.San Francisco, 29 August 2026: 295 ms, well above its usual level.San Francisco, 30 August 2026: 236 ms, well above its usual level.San Francisco, 31 August 2026: 189 ms, well above its usual level.San Francisco, 1 September 2026: 177 ms, well above its usual level.Montreal, 28 August 2026: 168 ms, well above its usual level.Montreal, 29 August 2026: 138 ms, well above its usual level.Montreal, 29 August 2026: 167 ms, well above its usual level.Montreal, 30 August 2026: 167 ms, well above its usual level.Montreal, 31 August 2026: 153 ms, well above its usual level.Montreal, 1 September 2026: 148 ms, well above its usual level.Singapore, 28 August 2026: 546 ms, well above its usual level.Singapore, 29 August 2026: 567 ms, well above its usual level.Singapore, 29 August 2026: 508 ms, well above its usual level.Singapore, 30 August 2026: 406 ms, well above its usual level.Singapore, 31 August 2026: 385 ms, well above its usual level.Singapore, 1 September 2026: 353 ms, well above its usual level.Singapore, 2 September 2026: 285 ms, well above its usual level.Singapore, 3 September 2026: 299 ms, well above its usual level.Tokyo, 28 August 2026: 274 ms, well above its usual level.Tokyo, 29 August 2026: 267 ms, well above its usual level.Tokyo, 29 August 2026: 306 ms, well above its usual level.Tokyo, 30 August 2026: 484 ms, well above its usual level.Tokyo, 31 August 2026: 284 ms, well above its usual level.Tokyo, 1 September 2026: 304 ms, well above its usual level.Tokyo, 2 September 2026: 344 ms, well above its usual level.Tokyo, 3 September 2026: 480 ms, well above its usual level.

A dot marks a day well above that location’s usual level.

Show the numbers
DayAmsterdamSan FranciscoMontrealSingaporeTokyoMumbai
27 August 2026107 ms69 ms48 ms58 ms62 ms
28 August 2026246 ms ▲202 ms ▲168 ms ▲546 ms ▲274 ms ▲
29 August 2026234 ms ▲201 ms ▲138 ms ▲567 ms ▲267 ms ▲
30 August 2026279 ms ▲236 ms ▲167 ms ▲406 ms ▲484 ms ▲
31 August 2026238 ms ▲189 ms ▲153 ms ▲385 ms ▲284 ms ▲
1 September 2026242 ms ▲177 ms ▲148 ms ▲353 ms ▲304 ms ▲
2 September 2026185 ms124 ms76 ms285 ms ▲344 ms ▲
3 September 2026180 ms130 ms83 ms299 ms ▲480 ms ▲
4 September 202698 ms56 ms69 ms58 ms53 ms
5 September 202679 ms60 ms49 ms60 ms49 ms
6 September 202676 ms65 ms66 ms56 ms52 ms
7 September 202684 ms58 ms60 ms56 ms40 ms51 ms
8 September 202669 ms55 ms48 ms90 ms55 ms44 ms
9 September 202677 ms53 ms62 ms55 ms57 ms42 ms
10 September 202685 ms55 ms51 ms48 ms52 ms61 ms
11 September 202682 ms53 ms54 ms45 ms47 ms48 ms
12 September 202675 ms64 ms46 ms50 ms46 ms46 ms

About this measurement

GET vercel.com · 70 requests per location over 14 daily runs · 30 August 2026 to 12 September 2026

What we tested · Marketing website. The vercel.com marketing homepage, about 520 KB of HTML, served from Vercel's own cache.

How LatencyRadar measures response time →

Technical details

Doesn’t measure: A site you deploy on Vercel, its serverless functions, or the dashboard.

One Vercel surface: the vercel.com marketing homepage, about 520 KB of HTML that Vercel serves from its own edge cache. It is the page Vercel publishes on its own network, so it shows how Vercel's edge answers a cold request from each of our cities. It does not stand for your project: a site you deploy on Vercel has its own build output, caching rules and functions, and its speed depends on those choices as much as on the network.

Not measured: sites deployed on Vercel, serverless or edge functions, the dashboard, image optimisation, or anything a browser does after the HTML arrives. We cannot see Vercel's cache state from outside, so a slow day may be a cache miss, a deploy, or the path between our worker and the nearest edge; the numbers do not say which.

Between 30 August and 12 September 2026 the typical time ranged from 64 ms in San Francisco and Tokyo to 98 ms in Amsterdam. Those numbers hide a split. From 30 August to 3 September every city was slower, and Asia most: Singapore's daily median ran from 285 to 406 ms and Tokyo's from 284 to 484 ms. Since 4 September all five cities have answered in 40 to 98 ms, and the controlled run of 30 August (p95 of 508 to 584 ms in Amsterdam, Singapore and Tokyo) against 7 September (111 to 187 ms) shows the same shift. We cannot see from outside whether that was a cache, a deploy or a routing change. The slower times on this page are the median of those two runs, so they still carry the slow one. Netlify and Fastly, measured the same way on the same days, did not move.

Test locationTypical response timeSlower response timeRequests
Amsterdam98 ms313 ms20
San Francisco64 ms214 ms20
Montreal66 ms127 ms20
Singapore69 ms348 ms20
Tokyo64 ms368 ms20
MumbaiCollecting since 7 Sept 2026

Typical: half of the requests finished within this time (technical: p50). Slower: 95% of requests finished within this time (technical: p95). Statistics

Request
GET vercel.com
Measured from
Amsterdam · San Francisco · Montreal · Singapore · Tokyo
Requests
Daily measurements from 30 August 2026 to 12 September 2026. 5 of 6 test locations included: Amsterdam, San Francisco, Montreal, Singapore, Tokyo. · 30 August 2026 to 12 September 2026
Timings taken
DNS, connect, TLS, waiting for the server, download
Report coverage
5 of 6 test locations included: Amsterdam, San Francisco, Montreal, Singapore, Tokyo.
Daily requests in each location
Amsterdam: 70 · San Francisco: 70 · Montreal: 70 · Singapore: 70 · Tokyo: 70
Typical response time
Median of the eligible daily requests in each included location.
Slower response time
Median of recent controlled full-run p95 values in each included location.

Vercel

https://vercel.com/

Independent measurement by LatencyRadar. Not affiliated with Vercel. · How we measure (v1.1)

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