📈 Score Calculator
UPSC CMS Score Calculator 2026
Enter your correct and wrong answers for each paper to instantly calculate your total score. Results are compared with historical cut-offs from 2020–2025.
📄 Paper 1 — Medicine & Paediatrics
Correct answers
Wrong answers
Correct + Wrong cannot exceed 120
📄 Paper 2 — Surgery, OBG & PSM
Correct answers
Wrong answers
Correct + Wrong cannot exceed 120
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out of 480
Total Written Score
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Paper 1 Score
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Paper 2 Score
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Correct Answers
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Wrong Answers
Historical Cut-off Marks (Written Exam, UR Category)
* Cut-off figures above are estimates based on available data and community-reported scores. Official UPSC cut-offs are published with final results. Ranges reflect variation across departments (CHS vs Railways). Verify exact figures with the official UPSC result notification.
How the Score is Calculated
Each paper has 120 questions × 2 marks = 240 marks. Wrong answers lose 0.667 marks (= 2 ÷ 3). Unattempted = 0.
Formula: Score = (Correct × 2) − (Wrong × 0.667)
Total written = Paper 1 + Paper 2 (max 480 marks). Final merit = Written + Personality Test (max 100) = 580 total.
Frequently Asked Questions
How is the UPSC CMS score calculated?
Score = (Correct × 2) − (Wrong × 0.667). Each paper has 120 questions. Total written exam is 480 marks. Wrong answers cost you 0.667 marks each. Unattempted questions score 0.
What score is needed to clear UPSC CMS 2026 UR category?
Based on historical cut-offs, a written score of 260–280 out of 480 is typically needed for UR category to clear the written exam. With 1,358 vacancies in 2026 (higher than recent years), the cut-off may be slightly lower, potentially 240–265. This is only a prediction — the actual cut-off depends on paper difficulty and number of candidates.
Does UPSC CMS have separate cut-offs for Paper 1 and Paper 2?
UPSC may apply minimum qualifying marks per paper separately, in addition to the aggregate cut-off. In some years, candidates who scored very high in one paper but very low in the other were not shortlisted. Aim for balanced performance across both papers rather than compensating with one paper.
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