IIT Cutoff 2026 represents the absolute minimum ranks required by an applicant to claim a seat at their preferred campus and specialization. These metrics are published as IIT Opening and Closing Rank 2026 distributions across multiple rounds of seat allocation.
Before diving into specific campus analytics, check this master brief of the IIT Admission Cutoff 2026 structural guidelines:
Admission Authority: Joint Seat Allocation Authority (JoSAA) & Central Seat Allocation Board (CSAB)
Primary Qualifying Exam: JEE Main 2026 for screening and JEE Advanced 2026 for final ranking
Participating Institutions: 23 Indian Institutes of Technology (IITs)
Data Publication Format: JoSAA Opening and Closing Rank 2026
Allotment Method: IIT round-wise cutoff 2026, typically across about 6 allocation rounds
Official Documentation Domain: jeeadv.ac.in / josaa.nic.in
A common pain point for engineering aspirants is confusing the two distinct cutoff parameters:
IIT Cutoff JEE Advanced 2026: This is the qualifying score framework managed directly by the organizing IIT. It details the minimum subject-wise and aggregate percentage marks a student must score to find their name indexed on the rank list.
JoSAA IIT Cutoff 2026: This is the campus-wise and seat-wise allocation metric. It handles the practical conversion of your JEE Advanced All India Rank (AIR) into entry points for individual branches.
The selection threshold for individual disciplines varies significantly depending on candidate demand. The Computer Science and Engineering (CSE) vertical continues to represent the most highly contested domain in the allocation cycle.
Below is the analysis of the expected IIT CSE Cutoff 2026 alongside overall opening and closing rank windows for General Category applicants across top campuses:
|
Expected JoSAA Round 6 Opening and Closing Ranks |
||
|
IIT Institution Name |
Expected Opening Rank 2026 |
Expected Closing Rank 2026 |
|
IIT Bombay (CSE) |
1 |
70 |
|
IIT Delhi (CSE) |
25 |
130 |
|
IIT Madras (CSE) |
80 |
180 |
|
IIT Kanpur (CSE) |
150 |
275 |
|
IIT Kharagpur (CSE) |
230 |
470 |
|
IIT Roorkee (CSE) |
260 |
600 |
|
IIT Hyderabad (CSE) |
350 |
700 |
|
IIT Guwahati (CSE) |
500 |
800 |
|
IIT Gandhinagar (CSE) |
900 |
2050 |
|
IIT Indore (CSE) |
950 |
1800 |
JoSAA incorporates specialized reservation guidelines to maintain vertical and horizontal diversity across Indian engineering streams. The IIT Category Wise Cutoff 2026 distributions reflect independent cutoffs for different groups, including OPEN, OBC-NCL, EWS, SC, ST, and PwD seat structures.
To give you an idea of how category allocations work, check this historical final-round breakdown for a premier campus like IIT Bombay:
|
IIT Category Wise Cutoff 2026 Matrix |
||||
|
Academic Program Stream |
Seat Category Classification |
Gender Pool Allocation |
Opening Rank |
Closing Rank |
|
Computer Science (CSE) |
OPEN |
Gender-Neutral |
1 |
66 |
|
Computer Science (CSE) |
OPEN |
Female-Only |
29 |
369 |
|
Computer Science (CSE) |
OBC-NCL |
Gender-Neutral |
6 |
54 |
|
Computer Science (CSE) |
EWS |
Gender-Neutral |
5 |
20 |
|
Computer Science (CSE) |
SC |
Gender-Neutral |
1 |
31 |
|
Electrical Engineering |
OPEN |
Gender-Neutral |
106 |
433 |
|
Mechanical Engineering |
OPEN |
Gender-Neutral |
490 |
1834 |
|
Civil Engineering |
OPEN |
Gender-Neutral |
2666 |
4250 |
Analyzing historic benchmarks helps candidates build effective choice-filling strategies during active counselling blocks. Below is the historical progression of final closing ranks for the highly sought-after Computer Science engineering seats:
| Past Years’ IIT Cutoff Trends for CSE (2023 - 2025) | |||
| IIT Campus Branch (CSE) | 2023 Closing Rank | 2024 Closing Rank | 2025 Closing Rank |
| IIT Bombay | 67 | 68 | 66 |
| IIT Delhi | 118 | 116 | 126 |
| IIT Madras | 148 | 159 | 171 |
| IIT Kanpur | 238 | 252 | 271 |
| IIT Kharagpur | 279 | 415 | 466 |
| IIT Roorkee | 412 | 481 | 592 |
The closing thresholds for the IIT Round Wise Cutoff 2026 matrices fluctuate dynamically from one allotment cycle to another. These adjustments depend on four core variables:
Complexity of JEE Advanced Exam: A highly challenging question paper naturally suppresses overall scores, causing a downward shift in rank cutoffs.
Aggregate Seat Matrix Updates: The introduction of new seat quotas or additional dual-degree verticals across the 23 campuses helps alleviate rank constraints.
Candidate Registration Volume: High registration volumes in JEE Main and Advanced intensify competition, pushing closing benchmarks higher.
Student Preference Choices: Shifts in student trends—such as prioritizing newer specialized fields like Data Science or AI over traditional branches—directly affect campus-specific choices.
