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math benchmark

HiddenMath Leaderboard

HiddenMath is Google DeepMind's internal mathematical reasoning benchmark featuring novel problems not encountered during model training.

Updated Sep 5, 2026

Models13
Model coverage13
MetricScore
EvidenceB

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HiddenMath Ranking

Higher score ranks better on this benchmark.

13 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 2.0 FlashGoogleScore63.00%Percentile100.00%Participants13EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemma 3 27BGoogleScore60.30%Percentile91.67%Participants13EvidenceCEvaluatedSep 8, 2026
Rank03ModelGOGemini 2.0 Flash-LiteGoogleScore55.30%Percentile83.33%Participants13EvidenceCEvaluatedSep 8, 2026
Rank04ModelGOGemma 3 12BGoogleScore54.50%Percentile75.00%Participants13EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemini 1.5 ProGoogleScore52.00%Percentile66.67%Participants13EvidenceCEvaluatedSep 8, 2026
Rank06ModelGOGemini 1.5 FlashGoogleScore47.20%Percentile58.33%Participants13EvidenceCEvaluatedSep 8, 2026
Rank07ModelGOGemma 3 4BGoogleScore43.00%Percentile50.00%Participants13EvidenceCEvaluatedSep 8, 2026
Rank08ModelGOGemma 3n E4B InstructedGoogleScore37.70%Percentile41.67%Participants13EvidenceCEvaluatedSep 8, 2026
Rank09ModelGOGemma 3n E4B Instructed LiteRT PreviewGoogleScore37.70%Percentile33.33%Participants13EvidenceCEvaluatedSep 8, 2026
Rank10ModelGOGemini 1.5 Flash 8BGoogleScore32.80%Percentile25.00%Participants13EvidenceCEvaluatedSep 8, 2026
Rank11ModelGOGemma 3n E2B InstructedGoogleScore27.70%Percentile16.67%Participants13EvidenceCEvaluatedSep 8, 2026
Rank12ModelGOGemma 3n E2B Instructed LiteRT (Preview)GoogleScore27.70%Percentile8.33%Participants13EvidenceCEvaluatedSep 8, 2026
Rank13ModelGOGemma 3 1BGoogleScore15.80%Percentile0.00%Participants13EvidenceCEvaluatedSep 8, 2026

HiddenMath Highlights

The leading models and scores on this benchmark.

HiddenMath Score Distribution

A closer view of the leading scores on this benchmark.

HiddenMath

The Top AI Models for HiddenMath

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is HiddenMath?

What HiddenMath measures and how its scores work.

HiddenMath is a mathematical reasoning benchmark from Google DeepMind that introduces novel problems not encountered during model training.

It measures mathematical reasoning capabilities rather than memorization using the Score metric, reported as a ratio.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
HiddenMath
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about HiddenMath.

Which model scores highest on HiddenMath?

Gemini 2.0 Flash is currently ranked first with 63.00%.

What are the top three models on HiddenMath?

The current leaders are Gemini 2.0 Flash (63.00%), Gemma 3 27B (60.30%), and Gemini 2.0 Flash-Lite (55.30%).

Which HiddenMath model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among HiddenMath results?

The fastest matched records are Gemini 2.0 Flash (183.00 tok/s via Google), Gemini 1.5 Flash (150.00 tok/s via Google), and Gemini 1.5 Flash 8B (150.00 tok/s via Google).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does HiddenMath measure?

It measures mathematical reasoning capabilities rather than memorization using the Score metric, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

13 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Gemini 2.0 Flash63.00%
Rank #2Gemma 3 27B60.30%
Rank #3Gemini 2.0 Flash-Lite55.30%
Rank #4Gemma 3 12B54.50%

Ranking basisThis hiddenmath AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    GO
    Gemini 2.0 FlashGoogle
    Score
    63.00%
    Speed
    Up to 183.00 tok/s via Google

    Strengths

    • Ranks #1 of 13 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HiddenMath, not total model capability
  2. 02
    GO
    Gemma 3 27BGoogle
    Score
    60.30%
    Speed
    Up to 33.00 tok/s via DeepInfra

    Strengths

    • Ranks #2 of 13 compared models
    • 92th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HiddenMath, not total model capability
  3. 03
    GO
    Google
    Score
    55.30%
    Speed
    Up to 85.00 tok/s via Google

    Strengths

    • Ranks #3 of 13 compared models
    • 83th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HiddenMath, not total model capability
  4. 04
    GO
    Google
    Score
    54.50%
    Speed
    Up to 33.00 tok/s via DeepInfra

    Strengths

    • Ranks #4 of 13 compared models
    • 75th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HiddenMath, not total model capability
  5. 05
    GO
    Google
    Score
    52.00%
    Speed
    Up to 85.00 tok/s via Google

    Strengths

    • Ranks #5 of 13 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HiddenMath, not total model capability

Selection summary

Best AI Models for HiddenMath

Gemini 2.0 Flash currently leads HiddenMath with 63.00%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Gemini 2.0 Flash-Lite
Gemma 3 12B
Gemini 1.5 Pro
Benchmark rank #1Gemini 2.0 Flash63.00% · Up to 183.00 tok/s via Google
Benchmark rank #2Gemma 3 27B60.30% · Up to 33.00 tok/s via DeepInfra
Benchmark rank #3Gemini 2.0 Flash-Lite55.30% · Up to 85.00 tok/s via Google