GATE Score vs Rank vs Marks: How GATE Rank is Calculated, Explained Simply
GATE Score vs Rank vs Marks: Prospective candidates appearing for the GATE 2026 exam should understand key terms such as GATE score, normalised marks, and rank. Explore the methodology used to compute these scores.
Key Points
- GATE 2026 scores are used for postgraduate admissions and PSU recruitment.
- IIT Guwahati conducted GATE 2026 on February 7, 8, 14, and 15.
- Normalization applies to multi-session papers like CS & IT and Civil Engineering.
GATE 2026 Score Calculation: The Graduate Aptitude Test in Engineering (GATE) is one of India’s most competitive exams, opening doors to higher studies, PSU jobs, and strong career growth. Many students get confused about how GATE scores are normalised and how ranks are decided. Understanding the GATE 2026 score normalisation and rank calculation process is important for candidates to evaluate their performance and can estimate their chances of getting admission into top IITs. The GATE score usually highlights the relative performance level of the aspirants in a particular subject. Here’s a simple, step-by-step guide to understand GATE Score Normalisation 2025 with easy examples.
GATE 2026 Rank Calculation
The Graduate Aptitude Test in Engineering (GATE) is a national-level entrance exam assessing a candidate’s knowledge in various undergraduate and post-graduate level subjects. Conducted by the Indian Institute of Technology (IIT), Guwahati, on February 07, 08, 14 and 15, the GATE 2026 score will be used for admissions to postgraduate programs and recruitment in PSUs. Candidates often wonder about how their scores are normalised and how ranks are calculated. In this article, we have shared complete details about the GATE 2026 score normalisation and rank determination to ease the preparation of the candidates effectively.
Also read, GATE Result 2026
GATE 2026 Score Calculation
After the answers are evaluated, the actual (raw) marks secured by a candidate will be considered to calculate the GATE Score. For tests conducted in multiple sessions, raw marks will be converted into normalised marks. So, raw marks (for single-session tests) or normalised marks (for multi-session tests) will be used to calculate the GATE score.
GATE 2026 Marking Scheme
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GATE scores are computed out of 100 marks for 65 questions.
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1 or 2 marks will be allocated for every correct answer.
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A negative marking of 1/3rd or 2/3rd mark for each incorrect response.
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There shall be no negative marking for wrong answers in NATs and MSQ questions.
GATE 2026 Score Normalisation Method
In GATE 2026, only Computer Science & Information Technology and Civil Engineering papers were conducted in two sessions. To account for potential variations in difficulty levels between these sessions, a normalisation process is applied. This process is based on the assumption that the aspirant's abilities are evenly distributed across all sessions. This assumption is valid due to the large number of candidates and the random allocation of sessions. Moreover, the number of candidates in each session is kept relatively equal. After evaluating various normalisation methods, the committee adopted the following formula to compute normalised marks for multi-session papers;
Also read, GATE Result 2026
GATE Normalisation Formula
GATE Score Calculation Formula
GATE 2026 Qualifying Cut Off
As per GATE 2026 notification, the qualifying cut-off marks vary as per general category, OBC-NCL/EWS, and SC/ST/PwD categories. Check the category-wise GATE qualifying cut-off marks shared below for the reference of the candidates.
| Category | Qualifying Cut Off |
| General | max(25, min(40, μ + σ)) |
| OBC-NCL/EWS | (9/10) x General cut-off |
| SC/ST/PwD | (2/3) x General cut-off |
Note: μ denotes the mean of marks of all test-takers and σ denotes the standard deviation of positive marks of all the aspirants who appeared for the test paper.
GATE Score vs Rank: How to Calculate GATE Rank
Once the GATE scores are calculated, candidates are assigned All India Ranks (AIRs) based on the marks obtained by them. The GATE rank required for admission to your preferred college is based on both the chosen discipline and the cutoff score. Going by past trends and analysis, a GATE rank below 200 is considered good to secure M.Tech admission at IITs whereas a GATE rank between 350 and 800 can be used to secure admission to an M.Tech program at an NIT. Here is the detailed analysis of GATE Rank vs. marks for all the subjects based on the previous year's data shared below for the reference of the candidates.
| GATE Rank | GATE Marks | ||||
| ME | CSE | CE | EC | EE | |
| 1-10 | 92+ | 80+ | 90+ | 73+ | 91+ |
| 10-50 | 87-92 | 75-80 | 85-90 | 67-73 | 87-91 |
| 50-100 | 85-87 | 72-75 | 78-85 | 63-67 | 84-87 |
| 100-200 | 82-85 | 68-72 | 74-78 | 60-63 | 81-84 |
| 200-500 | 79-82 | 62-68 | 70-74 | 56-60 | 77-81 |
| 500-1000 | 75-79 | 56-62 | 64-70 | 50-56 | 72-77 |
| 1000-2000 | 71-75 | 50-56 | 57-64 | 45-50 | 66-72 |
| 2000-5000 | 63-71 | 40-50 | 50-57 | 38-45 | 57-66 |
| 5000-10000 | 51-63 | 32-40 | 40-50 | 28-38 | 46-57 |
GATE Rank vs Marks vs Scores
Here we have discussed GATE Rank vs Marks vs Scores to help candidates understand the relationship between all three in a detailed manner. This table comprises scores and marks obtained by GATE toppers (AIR 1) in 2021 for reference purposes.
| S. No. | Paper Code | GATE Score | GATE Marks | All India Rank (AIR) |
| 1 | AE | 1000 | 84 | 1 |
| 2 | AG | 1000 | 61.33 | 1 |
| 3 | AR | 1000 | 79.67 | 1 |
| 4 | BM | 1000 | 64 | 1 |
| 5 | BT | 1000 | 75.33 | 1 |
| 6 | CE | 1000 | 95.56 | 1 |
| 10 | EC | 1000 | 82 | 1 |
| 11 | EE | 974 | 85.33 | 1 |
| 12 | EE | 974 | 85.33 | 1 |
| 13 | ES | 966 | 88 | 1 |
| 14 | EY | 1000 | 78 | 1 |
| 15 | GG (Geology) | 945 | 72.67 | 1 |
| 16 | GG (Geophysics) | 1000 | 68.67 | 1 |
| 17 | IN | 933 | 79 | 1 |
| 18 | IN | 933 | 79 | 1 |
| 19 | MA | 1000 | 68.33 | 1 |
| 20 | ME | 979 | 93.22 | 1 |
| 21 | MN | 1000 | 77.67 | 1 |
| 22 | MT | 923 | 87.67 | 1 |
| 23 | MT | 923 | 87.67 | 1 |
| 24 | PE | 954 | 90.67 | 1 |
| 25 | PH | 1000 | 69.67 | 1 |
| 26 | PI | 939 | 83.67 | 1 |
| 27 | ST | 1000 | 51.67 | 1 |
| 28 | TF | 945 | 79.67 | 1 |
| 29 | TF | 945 | 79.67 | 1 |
| 30 | XE | 1000 | 90.33 | 1 |
| 31 | XH – C1 Economics | 1000 | 62.67 | 1 |
| 32 | XH – C2 English | 986 | 77.67 | 1 |
| 33 | XH – C3 Linguistics | 1000 | 65.67 | 1 |
| 34 | XH – C4 Philosophy | 1000 | 71 | 1 |
| 35 | XH – C5 Psychology | 1000 | 77.33 | 1 |
| 36 | XH – C5 Psychology | 1000 | 77.33 | 1 |
| 37 | XH – C6 Sociology | 1000 | 66 | 1 |
| 38 | XL | 983 | 74.33 | 1 |
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Sunil Sharma is an education consultant with over 14 years of experience. He holds an MSc in Mathematics. He has worked as an Subject Matter Expert (SME) at Vriti Infocom Private Limited and Aakash Edutech Private Limited. At Jagran Josh, writes for the Govt exam vertical. He possesses a strong analytical approach that enables him to effectively decode examination patterns, trends, and requirements, helping aspirants access clear and insightful exam-related content.
Sunil has expertise in Quantitative Aptitude, Logical Reasoning, and English, making him a versatile professional in the education and test preparation sector. He has created content for various management exams CAT, XAT and also for exams such as CUET etc