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Offer vs Counter-Offer Evaluator

Compare the outside offer with the counter-offer over a multi-year horizon instead of getting stuck on the first-year headline.

Problem

A counter-offer can look emotionally easier, but the economics often depend on growth, city, and recurring costs.

Promise

Compare an outside offer against a retention proposal using post-tax pay, growth, and city-cost drag.

Trust note

No login. The estimate runs in the browser and keeps the assumptions visible.

Tool mode

Basic keeps the fast default flow. Advanced unlocks goal seek, sensitivity sweep, and a second comparison scenario.

Outside offer

Counter-offer

Context

Main answer

₹9,54,183

The outside offer comes out ahead by about ₹9,54,183 over 3 years.

Both options include post-tax salary, annual benefits, benchmark city costs, and the commute drag you entered.

External offer

₹49.5L

3-year cumulative modeled savings.

Counter-offer

₹39.9L

3-year cumulative modeled savings.

Decision gap

₹9,54,183

Difference between the two options across the full horizon.

Horizon

3 years

Shorter horizons make one-time perks matter more.

Cumulative savings by option

External city

Pune

Benchmark city used for the outside offer.

Counter city

Bengaluru

Benchmark city used for the counter-offer.

Growth spread

5.0%

Annual growth advantage of the external offer over the counter.

How to read this tool

This is a planning model, not a final quote. Use it to understand the direction and size of the trade-off before committing.

Adjust the inputs to test optimistic and conservative scenarios instead of relying on one default answer.

Why the result leans this way

Growth assumptions compound quickly

Even a small annual growth difference can overtake a first-year compensation gap in a short number of years.

Recurring cost drag is easy to underestimate

City costs and commute drag repeat every month, so they deserve as much attention as the headline package.

Assumptions and sources

Planning scope

This tool is meant for scenario planning. Quotes, taxes, policy terms, and personal preferences can change the final decision.

Effective from 2026-04-01

Benchmarks

Benchmark-driven tools use the static datasets shipped with the repo so assumptions stay versioned and reviewable.

Effective from 2026-03-01

Salary model

The tool uses the repo's new-regime salary engine for consistency across both options.

Effective from 2026-04-01

Frequently asked questions

Why compare more than the first year?

Because growth, city costs, and recurring commute drag can outweigh a small first-year compensation difference.

How should I use the offer vs counter-offer evaluator result?

Run it with conservative and aggressive assumptions. If the conclusion survives both cases, the decision is usually more robust.

What can change the real outcome?

Taxes, policy rules, employer terms, personal behavior, and financing costs can all move the final result away from the estimate.