Who leads the race benchmark?

Megatron-BERT currently leads race with a score of 90.9 on Accuracy.

What is the state-of-the-art score on race?

The state-of-the-art result on race is 90.9 (Accuracy), achieved by Megatron-BERT as of 2026.

How many models are tracked on race?

Codesota tracks 2 models on race.

When was the race leaderboard last updated?

The race leaderboard on Codesota includes results through 2026.

Codesota · Benchmark · raceHome/Leaderboards/race

Unknown

race.

Name: race Benchmark Results
Creator: Unknown
Published: 2026-01-01
License: https://creativecommons.org/licenses/by/4.0/

race is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for race.

Paper ↗Leaderboard ↓

§ 01 · Leaderboard

Results by metric.

Only 2 models on this benchmark

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Found a wrong score or missing run?

Use row edits to send a sourced correction into moderation.

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Accuracy

Accuracy is the reported evaluation metric for race. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Accuracyverifiedpapervendorcommunityunverified

Muted rows were not state of the art when published — an earlier or same-year result already scored better.

Rank	Model	Trust	Score	Year	Links	Fix
01	Megatron-BERT Fetched from CodeSOTA API on 2026-04-20	vendor	90.9	2026	Source ↗	Looks wrong?
02	ALBERT (Ensemble) Fetched from CodeSOTA API on 2026-04-20	vendor	89.4	2026	Source ↗	Looks wrong?

§ 04 · Submit a result

Add to the leaderboard.

Submit a Result

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