YOUTUBE CHANNEL COMPARISON

MrBeast vs T-SeriesThe numbers behind the rivalry.

Who has more subscribers? Who is growing faster? Compare the same metrics, over the same recorded period.

Dated public counts·Current counts checked Oct 28, 2026Preview
MrBeast ↗

@mrbeast · YouTube

LEADING

SUBSCRIBERS

524,000,000
+6M in 29 daysDated public counts

Checked 2026-10-28 02:49:55 UTC · Current count source ↗

T-Series ↗

@tseries · YouTube

SUBSCRIBERS

316,000,000
+1M in 29 daysDated public counts

Checked 2026-10-28 03:47:30 UTC · Current count source ↗

VS
THE SUBSCRIBER GAP208,000,000

MrBeast leads by 208M subscribers.

Public subscriber counts are rounded to three significant figures. These are dated public counts, not live estimates. The historical chart has its own labeled source window.

THE RACE, OVER TIME

Daily counts with source records.

Last 30 days · Daily records

Showing 26 daily observations · 2026-09-28 to 2026-10-27 (UTC). Growth is measured from the first record in this period.

Additional views since Sep 28. Each value is the difference between saved cumulative counts; this is not a live counter.

Oct 27MrBeast 3.76BT-Series 4.1B
01.15B2.3B3.44B4.59BSep 28Oct 15Oct 27

Hover or touch the chart to inspect a date. Keyboard: ← / →, Home / End.

Collector timestamp 2026-10-27 23:02:53 UTC · Collector archiveMrBeast source JSON ↗T-Series source JSON ↗

Latest saved observation: 2026-10-27 (UTC). Each dot has a saved source record. Lines connect saved observations, including across missing dates; no counts are added for those dates. Rounded subscriber counts can stay flat while the channel gains subscribers.

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SIDE BY SIDE

More than a subscriber count.

Growth window: 29 calendar days
YouTube metricMrBeastT-Series
Subscribers524,000,000316,000,000
Total video views144.85B361.19B
Videos published · lifetime1,00927,429
Subscriber change · 29 days+6M+1M
Views gained · 29 days+3.76B+4.1B
Average views gained per 24 hours (approx.)129.79M141.52M

Highlighted values are larger, not a quality score. Growth compares shared observations from Sep 28, 2026 to Oct 27, 2026.

WHAT THE NUMBERS SAY

Different ways to be big.

01 / AUDIENCE

MrBeast leads in subscribers.

His channel has 524M subscribers, 208M more than T-Series. Recorded subscriber growth was +6M versus +1M over the shared window.

02 / WATCHING

T-Series leads in total views.

T-Series has 361.19B lifetime views versus 144.85B for MrBeast. From Sep 28, 2026 to Oct 27, 2026, MrBeast gained 3.76B views and T-Series gained 4.1B.

03 / CONTEXT

Two very different catalogs.

MrBeast publishes challenges and entertainment. T-Series is a music label and film studio with 27,429 uploads. Channel totals measure scale; they do not show how a typical new video performs.

BEYOND CHANNEL TOTALS

Long videos, Shorts, and typical views.

Baseline computed Oct 21, 2026
Content metricMrBeastT-Series
Channel createdFeb 20, 2012Mar 13, 2006
Long-video median views · sample116.46M133.96K
Shorts median views · sample352.54M83.47K
Uploads in baseline sample600600
2026 uploads in sample75600
2026 long videos in sample20497
2026 Shorts in sample55103
Cumulative views on sampled 2026 uploads18.04B759.98M

Each baseline uses a capped 600-upload sample. The samples cover different publication periods. Counts of 2026 uploads describe the sampled set, rather than the full year’s publishing activity. View totals are cumulative views on those videos, rather than views gained during 2026.

MrBeast

2026 uploads in sample

Where Shorts fit in.

Share of uploads that are Shorts73.3%
Share of views from Shorts84.1%

Shorts Long videos

55 Shorts and 20 long videos in this subset. Computed Oct 21, 2026.

T-Series

2026 uploads in sample

Where Shorts fit in.

Share of uploads that are Shorts17.2%
Share of views from Shorts2.1%

Shorts Long videos

103 Shorts and 497 long videos in this subset. Computed Oct 21, 2026.

READING THE CONTENT MIX

Two channels.
Two content models.

MrBeast and T-Series bring together very different kinds of videos. Channel totals tell us about their scale; the format mix helps explain what sits inside those totals. The useful comparison is how each channel packages its content and where recorded viewing is concentrated within the sampled videos.

MRBEAST

A creator brand built around a clear premise.

The tracked titles put challenges, large sums of money and familiar ideas at the center of the viewing promise. Recreating Squid Game or comparing a $1 plane ticket with a $500,000 one gives the audience a concrete situation to picture before watching. Across these examples, the recurring connection is the creator and the kind of experience the title promises.

84.1%

of cumulative views on sampled
2026 uploads come from Shorts

Shorts occupy a substantial part of this sampled set. That makes them worth studying alongside the long videos, rather than treating them as a small extra. The figures describe viewing already recorded on these uploads; they do not establish how many viewers moved between formats or whether Shorts caused subscriber growth.

T-SERIES

A catalog organized around releases and performers.

The tracked T-Series titles foreground songs, films, performers and production credits. A viewer can identify the release and the people involved directly from the title. For someone studying the channel, this makes the catalog itself a useful starting point: which works are represented, how they are named, and which formats carry their recorded views.

2.1%

of cumulative views on sampled
2026 uploads come from Shorts

Long videos account for most of the cumulative views in this sampled 2026 subset. T-Series also has a much larger lifetime video library. Those observations help put its channel totals in context, but this capped sample cannot tell us how many releases the entire channel published during the year.

HOW TO USE THIS COMPARISON

Start with the format closest to your own work, then look at the videos behind its median. Both baselines use 600 uploads, but those uploads cover different publication periods. Their medians describe accumulated performance within each sample; they are not a forecast for a new video’s first week.

THE VIDEOS BEHIND THE NUMBERS

Explore what people watch.

Recorded video views · format-specific baselines

Ranked by recorded cumulative views within each channel’s tracked videos. This is not an all-time ranking of the entire channel.

A CLOSER LOOK AT THE TITLES

What each video promises before the click.

01 / MRBEAST

A recognizable idea, with visible stakes.

The title of MrBeast’s Squid Game video combines a familiar reference, a specific prize and the promise of a real-life recreation. It gives the viewer a compact picture of the premise. The lesson to examine is how clearly the title communicates the experience. The dollar amount is one part of that promise; the clarity of the premise is a separate choice a creator can study.

THE TRACKED EXAMPLE ↗$456,000 Squid Game In Real Life!
02 / T-SERIES

A release and its creative credits.

The tracked Jai Jai Ram title identifies Ramayana, the song and a series of performers and production names. Its visible emphasis is on identifying a particular work and its participants. A creator studying this approach can ask which names and details help the intended viewer recognize the content. The title alone does not tell us whether people arrived through search, recommendations or an existing audience.

THE TRACKED EXAMPLE ↗Ramayana: Jai Jai Ram (Song) | Namit M, Nitesh T | Ranbir, Yash | AR Rahman, Shreya, Arijit S, Kumar

These are interpretations of the stored titles and sample statistics, not measurements of click-through rate, audience overlap or traffic sources. Video views are recorded as of Oct 28, 2026; format baselines were computed Oct 21, 2026.

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CHECK THE SOURCE

Every date, every recorded count.

Download evidence index ↗

Counts below are copied from the saved source records. Collector archives are preserved files from past collection jobs; API response records retain the original successful response. Links to collection jobs and commits may require repository access.

28 dates · 56 channel records · UTC collector timestamps
Collector timestamp (UTC)ChannelSubscribersTotal viewsEvidence
MrBeast518,000,000140,927,554,036Collector archive ↗
Record details

SHA-256: 1341450df5a015c2f63ff140a8e35873e78af40e73a0a7d9243fa717b21c9fbc

Collection job ↗
T-Series315,000,000356,898,204,576Collector archive ↗
Record details

SHA-256: 852c0d83875be6587641ffe505dd1ac1dc46ee1b45fc7c7594027477269e4a16

Collection job ↗
MrBeast518,000,000141,012,089,272Collector archive ↗
Record details

SHA-256: 7007feba84be77d1d76855b77ffba3682201f6cf5d0706bfb5be6084e5f672c5

Collection job ↗
T-Series315,000,000357,036,949,715Collector archive ↗
Record details

SHA-256: 6d852cdb4e066b39fd4bc163ead8fd2df3e1fc0ec4f5a5ab7b86256606a9ea15

Collection job ↗
MrBeast518,000,000141,012,089,272Collector archive ↗
Record details

SHA-256: 21497ccbe4448bf3e4a4e26d6cef82ec00df827f45514dcd8e3e83cfab68256b

Collection job ↗
T-Series315,000,000357,036,949,715Collector archive ↗
Record details

SHA-256: e56f741a7e3a14dce24330d8145cd6732366d716c1aa350f8b344174ca7782e8

Collection job ↗
MrBeast519,000,000141,135,555,566Collector archive ↗
Record details

SHA-256: e2acd9457cdeddc27906333f032de6f0907729348affb1db1fa24a1efb276991

Collection job ↗
T-Series315,000,000357,249,878,296Collector archive ↗
Record details

SHA-256: 830744cc5285b1327c414b5b71d382467d549081c197a4ec6ef97b55c58f570c

Collection job ↗
MrBeast519,000,000141,252,796,510Collector archive ↗
Record details

SHA-256: d895e806f76170d3b7bda25e0e72b43dda2b7a360eec0c619a7d7f20099457ae

Collection job ↗
T-Series315,000,000357,433,234,351Collector archive ↗
Record details

SHA-256: 260f4561b99a8fb9dcfc13c4b13e1bf21c9c2a833ccd8eeb3332bce1c99a1ac0

Collection job ↗
MrBeast519,000,000141,401,695,682Collector archive ↗
Record details

SHA-256: ab5276630b9c51823b9385baf7347a88a03df2c910c4a9c31f79dc4668d5cc83

Collection job ↗
T-Series315,000,000357,727,490,788Collector archive ↗
Record details

SHA-256: 6b265515cb8d82f36346797a6e11e77b0f7163a8d28d6eac43acf728cad08e32

Collection job ↗
MrBeast519,000,000141,620,080,287Collector archive ↗
Record details

SHA-256: 9764718e9c85aa6cebbee3baa3945fe09ac0641c605378fc1c9aec5e4f3d2f2b

Collection job ↗
T-Series315,000,000358,011,721,180Collector archive ↗
Record details

SHA-256: aa78d944e0a75a03e9ac9aa1232d900128bdb1d976c8b06764d6e920e3e0f354

Collection job ↗
MrBeast520,000,000141,855,566,763Collector archive ↗
Record details

SHA-256: ffe4ca379c4c0355991055054af26eaaac461e3f3d067f41796ddc68abecc6a0

Collection job ↗
T-Series315,000,000358,268,045,000Collector archive ↗
Record details

SHA-256: e89df51fd62bb67c2398500cda9f95b13459672777e69c75a61fa608c8bc2eec

Collection job ↗
MrBeast520,000,000141,961,726,982Collector archive ↗
Record details

SHA-256: 264386cd95c584b349bd6945165120f000a13ff68a2ad49e92831a3f0a9f9b7c

Collection job ↗
T-Series315,000,000358,408,139,204Collector archive ↗
Record details

SHA-256: 48905954a91182307537234209d425ec3c6fe5922712b1bf258d3c320d437532

Collection job ↗
MrBeast520,000,000142,071,087,502Collector archive ↗
Record details

SHA-256: c3734a2941e65cf7b6c8ac807884c481d534edc35243769c41b75435bd56d391

Collection job ↗
T-Series315,000,000358,548,572,205Collector archive ↗
Record details

SHA-256: 66656fe548d02cac18dd63fe0ee422292bc857c7a572a3c21a2d78047b7a870e

Collection job ↗
MrBeast520,000,000142,153,736,720Collector archive ↗
Record details

SHA-256: 1134d4ed5d0c2290273dc291a0f857132bed130600f62583d858005b2ba797d8

Collection job ↗
T-Series315,000,000358,647,136,672Collector archive ↗
Record details

SHA-256: 02d3bc6e9ae791bc9fc4c39314966bcee1171b0308e526eba630c638420f9605

Collection job ↗
MrBeast520,000,000142,299,869,452Collector archive ↗
Record details

SHA-256: 9e0ba6e5317bd426f82120d13d0c1d2a2b50708262e740785d0fccab35edfbaa

Collection job ↗
T-Series315,000,000358,806,916,893Collector archive ↗
Record details

SHA-256: e8924711adab5e12541b49ef95e99477879bf94c40baa72876d37ce9aa89bea4

Collection job ↗
MrBeast521,000,000142,437,098,620Collector archive ↗
Record details

SHA-256: 41bc96b754be35fa4a2be1c643f37f56f049251bb66f5276612a1e519c928323

Collection job ↗
T-Series315,000,000358,958,977,587Collector archive ↗
Record details

SHA-256: 6c6cc79e499305f60939085245545fb263b865fd91bcb631f1695808b09f90d5

Collection job ↗
MrBeast521,000,000142,646,308,668Collector archive ↗
Record details

SHA-256: 9ecb115c893d6ae91b7090fb4a128a76c1049d26f974e0ed7ca88dcbfdd9d624

Collection job ↗
T-Series315,000,000359,234,543,980Collector archive ↗
Record details

SHA-256: 29bcc3e9768e428d61ed48403dae9cc60ecbdb15d58aea2437b14bdd0115cf42

Collection job ↗
MrBeast521,000,000142,688,379,304Collector archive ↗
Record details

SHA-256: a8dbcb5ed5c3fd4bd1e5bdb0b4da4b5e533a19d7ec8831ec46a2974401fba542

Collection job ↗
T-Series316,000,000359,301,524,372Collector archive ↗
Record details

SHA-256: 7dcca6ebc2d3d45fccda7ca1c0e7117275fdac0f767f22231ba9b03e2589f217

Collection job ↗
MrBeast521,000,000142,830,800,258Collector archive ↗
Record details

SHA-256: 238d741d625f4f67863bfe646fb52de8b844a49243c6e6ff7317fec4b92f7a6c

Collection job ↗
T-Series316,000,000359,480,645,383Collector archive ↗
Record details

SHA-256: 97c91e116a583ff5cceb5da494a9ec1ec2fc71208eeceeb484f5975d28a70645

Collection job ↗
MrBeast521,000,000142,947,509,305Collector archive ↗
Record details

SHA-256: 81da00c37446c5e4a787b210a13bea595e5e7a808bd21df54e0f7ec6fec9bdb2

Collection job ↗
T-Series316,000,000359,631,237,014Collector archive ↗
Record details

SHA-256: d9440c3d2922b918ef331202b3968e8e4f4035752d5509df47e66ba741d12237

Collection job ↗
MrBeast521,000,000143,064,001,077Collector archive ↗
Record details

SHA-256: 6636e8aca547912658ccc780026c5dc5a2dc46f93661e0fcce8d522e521b61e5

Collection job ↗
T-Series316,000,000359,770,215,629Collector archive ↗
Record details

SHA-256: f61bc9d75f675f272406966fbeee7b04d6c2e1e18eff0a8d9c92db3a99fbdcb3

Collection job ↗
MrBeast522,000,000143,240,927,814Collector archive ↗
Record details

SHA-256: 67171eb1250c8067e590a0a880e5d51f5faa57b1183601351fa0977ad5087f5d

Collection job ↗
T-Series316,000,000359,909,943,283Collector archive ↗
Record details

SHA-256: 2e72ea35a53c6354edaa1e1542abb7a7fdaa6b8f33668f5ce4b04148d384009d

Collection job ↗
MrBeast522,000,000143,417,760,439Collector archive ↗
Record details

SHA-256: 834ffd3d12c635acd469714bb4fe1d830819a3e61320e67f10d75946500b9241

Collection job ↗
T-Series316,000,000360,040,371,297Collector archive ↗
Record details

SHA-256: 6f86a5dc383dc962dae6e5e7b96171b0a9f9553ece4d6016dd88886fa97cf8d7

Collection job ↗
MrBeast522,000,000143,605,351,979Collector archive ↗
Record details

SHA-256: f4780f6640bb7c4b64afe81622026594a5551ef2ee8a42362813c920a6357a4f

Collection job ↗
T-Series316,000,000360,129,758,591Collector archive ↗
Record details

SHA-256: f5b6fcf0b39bb9b4b524c0539eed9fd5231757e6b32170e3791ab56bbc5ffcb4

Collection job ↗
MrBeast522,000,000143,700,252,369Collector archive ↗
Record details

SHA-256: 2c6a839b02f200f6d2ada600920b45ab8e33133db02fc5c2ca05f86b8cded7ac

Collection job ↗
T-Series316,000,000360,197,971,828Collector archive ↗
Record details

SHA-256: ed90d271ffd9b98dc33620703c34b321db64b4a7e3e6a850979cb1fe2b5f0631

Collection job ↗
MrBeast523,000,000144,023,636,916Collector archive ↗
Record details

SHA-256: 6a85490746bf8ab5f074023cc09d2967b5caa31b2ebb73ca2f2d4ea89e074305

Collection job ↗
T-Series316,000,000360,499,740,881Collector archive ↗
Record details

SHA-256: 1d10ddccd6ab4b264086b918a0f5d8f33fe01a84153fe9fff15a0e2caa2971ca

Collection job ↗
MrBeast523,000,000144,160,877,719Collector archive ↗
Record details

SHA-256: 67c4bc1507c0fae921a857741a219461c9766ff8015bf0a0547f55666de16fdc

Collection job ↗
T-Series316,000,000360,616,935,983Collector archive ↗
Record details

SHA-256: b20b0550b10a96d91e1d264262af8c45acc7b33d207344ee4cb7e7296b95b76f

Collection job ↗
MrBeast523,000,000144,353,642,443Collector archive ↗
Record details

SHA-256: 87d43d04992db4f413cb4044b4057cd57d84f75e9ff3cf9357ed1ce95e4d74be

Collection job ↗
T-Series316,000,000360,774,034,980Collector archive ↗
Record details

SHA-256: b4fee97cac84877a68909640e4c21afc735370948e9270e21dbc1a815d7ed485

Collection job ↗
MrBeast523,000,000144,516,221,563Collector archive ↗
Record details

SHA-256: ddbc8a158ff29f947103f90bce408fead6536065a2a754d2938ed40db074d2bc

Collection job ↗
T-Series316,000,000360,917,433,316Collector archive ↗
Record details

SHA-256: 26b214ca2d7d2884062a4baba893826422738c7ebccd2141d853462d93dd7772

Collection job ↗
MrBeast523,000,000144,656,439,884Collector archive ↗
Record details

SHA-256: 3974cd658989e745cfce47d3e81bce844893d693573ac955306d11e9876f4317

Collection job ↗
T-Series316,000,000361,062,576,775Collector archive ↗
Record details

SHA-256: 8576623851aa0f3cef983090b69e558df42d1f488b507f81dea777bf88b3baec

Collection job ↗
MrBeast524,000,000144,771,583,159Collector archive ↗
Record details

SHA-256: 9e2db3b2f9e754ecea7f153cac189034f52a52a865c2c022cc5a1af9153f3bb3

T-Series316,000,000361,136,224,572Collector archive ↗
Record details

SHA-256: 5ce415d4e2b568d6ea38fc6b968ba0c2ad853e70c1218ee652f8be9e4c9917a9

DATA & METHODOLOGY

Clear counts. Clear limits.

Where do these numbers come from?

Every point identifies its evidence type and links to a saved source file. Collector archive entries are processed files from past daily jobs; their original API responses were not retained. API response entries retain the successful official response. Latest count snapshot: .

Is this a live subscriber counter?

No. This page shows daily snapshots. YouTube’s public API rounds subscriber counts down to three significant figures. Counts and changes reflect that public precision; Kabo does not invent an exact count between updates.

Why is the growth period 29 days?

We compare the first and last valid observation shared by both channels. Calendar days, rather than the number of rows, determine the window. Missing observations remain gaps. Average views per 24 hours use the actual elapsed time between the first and last collection, because collector timestamps vary. Archive timestamps identify the collection batch, rather than the exact per-channel request time.

Who is winning?

MrBeast has more subscribers. T-Series has more lifetime views while T-Series gained more views in this recorded window. The answer depends on the metric you care about.

Sources: MrBeast on YouTube ↗T-Series on YouTube ↗YouTube API count precision ↗