Who leads the SVAMP benchmark?

gpt-4o currently leads SVAMP with a score of 93.7 on accuracy.

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

The state-of-the-art result on SVAMP is 93.7 (accuracy), achieved by gpt-4o as of 2026.

How many models are tracked on SVAMP?

Codesota tracks 3 models on SVAMP.

When was the SVAMP leaderboard last updated?

The SVAMP leaderboard on Codesota includes results through 2026.

Codesota · Benchmark · SVAMPHome/Leaderboards/SVAMP

Unknown

SVAMP.

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

1,000 elementary-level math word problems testing robustness of arithmetic reasoning.

Paper ↗Leaderboard ↓

§ 01 · Leaderboard

Results by metric.

Only 3 models on this benchmark

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accuracy

Accuracy is the reported evaluation metric for SVAMP. 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	gpt-4o Non-API entry from src	unverified	93.7	2026	N/A	Looks wrong?
02	claude-35-sonnet Non-API entry from src	unverified	91.2	2026	N/A	Looks wrong?
03	llama-3-70b Non-API entry from src	unverified	89.5	2026	N/A	Looks wrong?

§ 04 · Submit a result

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