Kaggle Open Benchmarks - MGSM: leaderboard

Average accuracy on MGSM, grade-school math word problems translated into 11 languages (Bengali, Chinese, English, French, German, Japanese, Russian, Spanish, Swahili, Telugu, Thai); published only for models with results in all 11 languages. Kaggle's standardized re-run on its own harness under the open-benchmarks organization, not the original authors' leaderboard; Kaggle's fraction is shown as a percentage (0-100, higher is better).

Metric: Accuracy (%). Source: www.kaggle.com. Saturation forecast: Estimated already saturated. 44 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.895.45#39
2Gemini 3.5 Flash94.46#66
3Claude Opus 494.36#170
4Claude Opus 4.194#146
5Gemini 3 Pro (Preview)93.71#71
6O4 Mini93.35#185
7Claude 3.5 Sonnet (20241022)92.95#302
8GPT-592.65#105
9Gemma 4 26B A4B92.64#360
10Claude 3.7 Sonnet92.58#259
11Gemini 2.5 Pro (Preview 06-05)92.58#118
12Claude Sonnet 492.44#207
13DeepSeek V392#329
14DeepSeek R1 052891.99#232
15O391.53#132

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=kaggle-open-benchmarks-mgsm · How It Works · Data refreshed daily, snapshot 2026-11-05.