HiddenMath

Google DeepMind's internal mathematical reasoning benchmark that introduces novel problems not encountered during model training to evaluate true mathematical reasoning capabilities rather than memorization

Gemini 2.0 Flash from Google currently leads the HiddenMath leaderboard with a score of 0.630 across 13 evaluated AI models.

Paper

GoogleGemini 2.0 Flash leads with 63.0%, followed by GoogleGemma 3 27B at 60.3% and GoogleGemini 2.0 Flash-Lite at 55.3%.

Progress Over Time

Interactive timeline showing model performance evolution on HiddenMath

State-of-the-art frontier
Open
Proprietary

HiddenMath Leaderboard

13 models
ContextCostLicense
11.0M$0.10 / $0.40
227B131K$0.10 / $0.20
31.0M$0.07 / $0.30
412B131K$0.05 / $0.10
52.1M$2.50 / $10.00
61.0M$0.15 / $0.60
74B131K$0.02 / $0.04
82B
88B32K$20.00 / $40.00
108B1.0M$0.07 / $0.30
118B
112B
131B
Notice missing or incorrect data?

FAQ

Common questions about HiddenMath.

What is the HiddenMath benchmark?

Google DeepMind's internal mathematical reasoning benchmark that introduces novel problems not encountered during model training to evaluate true mathematical reasoning capabilities rather than memorization

What is the HiddenMath leaderboard?

The HiddenMath leaderboard ranks 13 AI models based on their performance on this benchmark. Currently, Gemini 2.0 Flash by Google leads with a score of 0.630. The average score across all models is 0.427.

What is the highest HiddenMath score?

The highest HiddenMath score is 0.630, achieved by Gemini 2.0 Flash from Google.

How many models are evaluated on HiddenMath?

13 models have been evaluated on the HiddenMath benchmark, with 0 verified results and 13 self-reported results.

Where can I find the HiddenMath paper?

The HiddenMath paper is available at https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does HiddenMath cover?

HiddenMath is categorized under math and reasoning. The benchmark evaluates text models.

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