GMAT Score Conversion Tool 2026

Most people searching for GMAT score conversion mean one specific thing:

• comparing the current GMAT Exam, commonly still called the GMAT Focus Edition, with
• the retired Classic GMAT, officially called the GMAT 10th Edition

That is exactly what this page is for.

The naming is confusing because GMAC has used a few labels across the transition:

• the new exam launched as GMAT Focus Edition on November 7, 2023
• the previous version, now effectively the Classic GMAT, was replaced on February 1, 2024
• current official score pages often refer to the live exam as the GMAT Exam, while older comparison material still says GMAT Focus Edition

This tool uses the official GMAC July 2025 concordance table to convert:

• Classic GMAT / GMAT 10th Edition total scores (200-800) to current GMAT Exam / GMAT Focus Edition total scores (205-805)
• current GMAT Exam / Focus Edition scores back to the older Classic GMAT scale

What This GMAT Tool Is Actually For

The goal here is score concordance by percentile, not a fake one-to-one point conversion.

Per GMAC's current Understanding Your Score page and GMAC's support article on comparing GMAT (Focus Edition) scores to GMAT 10th Edition scores:

• the current GMAT Exam / GMAT Focus Edition uses a 205-805 total score scale
• the old GMAT 10th Edition / Classic GMAT used a 200-800 total score scale
• the two exams are not on a common score scale
• comparing scores directly is not appropriate

GMAC specifically says that if you need to compare competitiveness across versions, the right comparison is percentile ranking, not the raw score number.

Official Source Used For This Tool

We built this page from GMAC's official GMAT score guidance page and the official GMAT Score Concordance Table (July 2025 PDF).

That PDF states:

• it is published July 2025
• it is based on score data from July 1, 2020 through June 30, 2025
• percentile values are rounded to the nearest tenth
• concordance can show ranges because score bins and observed frequencies differ between the two exams

Why The Tool Shows Ranges Sometimes

This is not a bug. It is part of the official table.

For example, a single Classic GMAT score can map to more than one current GMAT / Focus Edition score if the percentile alignment spans multiple adjacent score bins.

That is why this tool shows:

• the converted score range
• the official percentile band
• the exact matched row(s) from the concordance table

645 Is The New 700? Sort Of.

GMAC's current score page literally says:

• 645 is the new 700

That is the shorthand comparison most candidates care about.

But if you open the full concordance table, you will see why a tool still matters: the official row-level mapping can span a range rather than a single clean one-to-one score.

How To Use This Tool

1. Choose your conversion direction.
2. Enter your total score.
3. Read the score range and percentile band from the official GMAC table.

Use it when:

• you have a Classic GMAT score and want current admissions context
• you have a current GMAT / Focus Edition score and want to compare it with older forum posts or school discussions
• you want a cleaner explanation than "just subtract 55" or other bad internet shortcuts

Important Limitation

This tool is intentionally limited to official total-score concordance.

It is not:

• a raw-score calculator
• a section-score calculator
• an unofficial percentile estimator

It is a direct interface around the official GMAC concordance logic for total scores.

FAQ

Can I compare a 605 current GMAT score to an old 600 GMAT score directly?

No. GMAC says that kind of direct comparison is not meaningful because the exams are on different scales with different score distributions.

What old GMAT score is equivalent to 645 on the current GMAT?

Per GMAC's current score guidance, 645 corresponds to the old 700 as the common shorthand comparison, but the official concordance table can show a range depending on the exact percentile row you reference.

Why does one score sometimes map to multiple values?

Because percentile groupings do not align perfectly between the two scales.

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