HiddenMath-Hard
Gemini 2.5 Pro Jun 2025 80.5% Models solve the harder part of an expert-written, never-published set of AIME and AMC style competition problems.
In-house Google DeepMind set. The Gemini 2.5 report uses this harder version instead of full HiddenMath.
- Made by
- Google DeepMind
- Kind
- Competition problems with answers
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- Kept private
- Strongest model tested
- Gemini 2.5 Pro Jun 2025 #96 on the capability index
- Last in a system card
- July 2025
- Last model added
- July 2025
Gemini 2.5 Pro leads with 80.5%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 Gemini 2.5 Pro Jun 2025 80.5%
- 2 Gemini 2.5 Flash Jun 2025 75.5%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Gemini 2.5 Pro Jun 2025 | 80.5% | Jul 2025 | Lab model card | |
| 2 | Gemini 2.5 Flash Jun 2025 | 75.5% | Jul 2025 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
2 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jul 7, 2025 | Gemini 2.5 Pro technical report | 80.5 | HiddenMath-Hard (Table 3) | Capabilities |
| Jul 7, 2025 | Gemini 2.5 Flash technical report | 75.5 | HiddenMath-Hard (Table 3) | Capabilities |
More in Math
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- IMO-AnswerBench In use 400 olympiad problems with short verifiable answers, robustified against memorization. Scored by answer match. GLM-5.2 91%
- HMMT 2026 In use Models solve the 33 final-answer problems from the February 2026 Harvard-MIT Mathematics Tournament. Scored by exact answer match. GPT-5.5 98.5%
- PolyMath In use Models solve 9,000 parallel math problems in 18 languages across four difficulty levels, from school math to frontier math. Final answers are checked.
Qwen3.7-Max 86.5% - MathArena (Apex, IMO, USAMO) In use Evaluates models on newly released math competitions after release. Final-answer or human/LLM-judged proof scores. Claude Opus 4.8 81.3%
- MathArena Apex Shortlist In use Models solve 47 hard final-answer problems that MathArena selected from 2025 competitions, where the best models scored about 50% at selection. Scored by accuracy over repeated attempts. GPT-5.5 98.4%