ProSyllabus/Exam tools/ GRE and GMAT

Graduate admissions / Know which scale you are reading

Compare scores.
Keep the context.

Explore the published historical GRE model, see how section profiles change its estimate, and read GMAC’s separate links between actual GMAT editions.

Historical estimate: 200–800Current GMAT lookup: 205–805Uncertainty stays visible
Two distinct ivory score-card towers and a translucent comparison window with multiple paths

The old model does not predict the current GMAT. ETS’s August 2026 guide says it does not publish a GRE–GMAT conversion table. The historical regression FAQ below targets the 10th Edition 200–800 scale. GMAC also cautions against treating the tests as equivalent. Use a programme’s own GRE benchmarks for current admissions comparisons.

01 / Published historical model only

GRE to 10th Edition GMAT estimate

Enter GRE section scores on the 130–170 scale. The result is an old-scale statistical prediction, not an official GMAT score and not a current 205–805 estimate. Analytical Writing is outside this model.

Historical GMAT total prediction — 10th Edition, 200–800

640

Model output before ten-point rounding: 639.25. Rounded to the nearest ten, following the published method.

One-standard-error model range: 584.45–694.05 unbounded; 584.45–694.05 within the old scale. Published standard error: 54.8 points. These decimal bounds describe uncertainty; they are not reportable GMAT scores.

This is a historical model based on 472 dual-test takers. It does not establish your current GMAT ability, percentile, admission eligibility or a score you could report.

02 / Actual GMAT scores; separate from the GRE prediction

GMAT 10th Edition ↔ current edition lookup

Use an actual GMAT total and its edition. This calculator reads GMAC’s August 2026 concordance directly. It does not take the historical GRE estimate automatically or validate a chained conversion.

Valid totals end in 5

Listed 10th Edition links

690, 700

All listed pairs are retained. This is a population-based GMAT-edition comparison, not interchangeable scores or a GRE equivalence.

Exact linked rows from the August 2026 GMAC table
10th Edition totalCurrent totalPercentile attached to table row
70064585.6%
69064585.6%

Published August 2026; data July 1, 2021–June 30, 2026. Percentiles are rounded to one decimal and updated annually. The attached percentile comes from each listed table row; multiple links are not collapsed to a made-up single percentile for an old score.

03 / Compare section profiles within the historical model

GRE scenario comparison

Keep Verbal and Quant separate. These scenarios help inspect the regression, not decide which exam guarantees better admission chances. Labels are optional; up to six scenarios.

Scenario 1

Historical 10th Edition prediction: 640; unrounded model 639.25; one-SE range 584.45–694.05 unbounded; 584.45–694.05 within the old scale.

Scenario 2

Historical 10th Edition prediction: 660; unrounded model 660.45; one-SE range 605.65–715.25 unbounded; 605.65–715.25 within the old scale.

04 / Search the historical formula, not a current-test cutoff

A model-based GRE section target

Hold one GRE section fixed. Search the other section’s integer scores from 130 to 170 for the first rounded historical GMAT prediction at or above an old-scale target. This is not a validated reverse conversion or a recommendation about which skill to prioritize.

Old 200–800 scale only

Minimum GRE Quant under this model condition

166

With the other section fixed at 160, this produces a rounded old-scale prediction of 700 (model output 702.97). 5 valid values in the searched section meet or exceed the chosen point-estimate target.

Its one-SE model range remains 648.17–757.77 unbounded; 648.17–757.77 within the old scale. Meeting the point estimate does not guarantee actual GMAT performance.

The formula, the sample and the limits

Published total-score equation

Historical GMAT prediction = −2080.75 + 6.38V + 10.62Q, with GRE V and Q each 130–170. The displayed result rounds to the nearest ten and is restricted to 200–800.

The regression can produce values outside the reportable old scale. For V170/Q170 it produces 809.25, rounds to 810 and displays 800. Clipping is a display rule, not evidence of a guaranteed perfect score.

What the uncertainty range means

ETS reports a standard error of 54.8 for the total prediction. Its FAQ describes a one-standard-error interval as approximately 68% under the model’s assumptions. We show raw output ±54.8 and its overlap with the old scale. If both bounds lie below 200, no overlap is reported.

A clipped interval is not re-calibrated coverage, and rounding the prediction does not make it precise. Treat the range as model uncertainty, not a personalized probability or a reportable score.

The sample is historical

The model used 472 people who took the GRE between August 2011 and December 2012 and sat the GMAT within one year. It describes the relationship in that sample, before the current GMAT redesign.

This implementation reproduces the published equation; it does not re-estimate it from today’s population or add a Data Insights prediction.

Different GRE profiles, same informal sum

V165/Q155 gives 618.05 → 620. V155/Q165 gives 660.45 → 660. Both informally sum to 320; the model differs because Quant’s coefficient is larger.

That coefficient is part of this regression. It does not prove Quant is more valuable in every programme’s admission process.

For integer GRE inputs, the published coefficients determine hundredth-point outputs. The calculation preserves those cents before ten-point rounding, avoiding binary floating-point noise in downloads.

Why an old prediction cannot become a new equivalence

The historical regression and GMAC’s current concordance answer different questions. The first predicts an old-test total from two GRE section scores using a historical sample. The second links observed total-score distributions between two GMAT editions.

Passing the first estimate into the second table does not validate the combined result. It retains the prediction error, adds a population comparison and still lacks the current GMAT’s Data Insights evidence. This page therefore gives no automatic GRE-to-current-GMAT output.

The official current ETS guide suggests using a target programme’s GRE class profile and admissions guidance. Read separate Verbal and Quant benchmarks, whether they are medians or ranges, which cohort they describe and any actual programme requirement. A published median is not automatically a minimum.

Use score comparisons for a clear next step

  1. Identify the exam, edition and date on the actual score report.
  2. Keep GRE Verbal, Quant and Analytical Writing separate.
  3. Read a programme’s current GRE and GMAT benchmarks in their original scales.
  4. Use actual GMAT edition links only with the dated official concordance.
  5. Take an official diagnostic for the other exam if you need evidence of current performance.
  6. Compare preparation effort and programme requirements; do not infer admission chances from a historical point prediction.

Questions applicants ask

GRE and GMAT conversion FAQs

Can I convert GRE scores to the current GMAT exactly?

No. The current GMAT has a 205–805 total scale and a Data Insights section. ETS’s historical prediction model targets the old 200–800 GMAT scale. This page does not claim an exact GRE-to-current-GMAT conversion.

What does the GRE to GMAT calculator actually estimate?

It reproduces the total-score regression published in ETS’s 2017 comparison FAQ: −2080.75 + 6.38 × GRE Verbal + 10.62 × GRE Quant. It rounds to ten-point steps and bounds the displayed historical GMAT estimate to 200–800.

Why must Verbal and Quant be entered separately?

The historical model weights the two sections differently. GRE 165 Verbal plus 155 Quant and 155 Verbal plus 165 Quant both sum to 320 informally, but predict different historical GMAT totals. ETS recommends keeping the GRE section scores separate.

How uncertain is the historical estimate?

ETS reports a total-score standard error of 54.8. The page shows unrounded output plus and minus one standard error and any overlap with the old 200–800 scale. If the range falls entirely outside that scale, it reports no overlap. The FAQ describes an approximately 68% model interval under its assumptions; this is not a personal guarantee.

Does the historical model use current test-taker data?

No. The published model used 472 people who took the GRE between August 2011 and December 2012 and took the GMAT within a year. This historical model is not a new validation of today’s GRE or current GMAT.

Can I add five to an old GMAT score to get the current score?

No. The two total scales have different distributions. Use GMAC’s dated concordance for actual GMAT scores. A 10th Edition 700 links to current 645 and 655 in the August 2026 table, rather than simply 705.

Why does the GMAT edition lookup sometimes show several scores?

GMAC’s table has one-to-many links because score intervals and observed frequencies differ. This tool preserves each listed pair and its attached percentile instead of inventing a single equivalent score.

Can I chain the GRE estimate through the GMAT concordance?

Doing that compounds a historical prediction with a separate distribution comparison. It does not create a validated GRE-to-current-GMAT conversion. This page keeps the calculators separate and does not automatically produce a chained current-GMAT estimate.

Can a GMAT total identify my GRE Verbal and Quant scores?

No unique pair follows from one total. Even the historical regression can be satisfied by different section combinations. The target search holds one GRE section fixed and enumerates valid values for the other; it is not a reverse test equivalence.

What does the target search guarantee?

It finds the minimum integer GRE section value whose rounded historical model estimate meets a chosen old-scale target, with the other GRE section held fixed. It guarantees only that arithmetic condition. Actual exam performance and admission outcomes remain uncertain.

Are the current GMAT percentiles permanent?

No. The embedded GMAC concordance was published in August 2026 and uses data from July 2021 through June 2026. GMAC updates percentile data annually. Read the latest official report and programme instructions for an application.

Are scores uploaded or retained?

Entries stay in this page’s memory and reset on reload. The calculator does not submit them to ETS, GMAC or a score database. Usual site analytics still apply. A downloaded scenario CSV contains your entered labels and historical model results.

Sources and data editions

Checked 9 October 2026. The historical equation and the current GMAT lookup remain separate throughout.