AIME 1983-2024
Phi-4-Reasoning-plus 89.4% Only in system cards Models solve 949 past AIME problems from 1983 to 2024. Integer answers are checked exactly.
Older problems are likely in training data, so scores mix recall and reasoning.
Made by Microsoft Research (Eureka ML Insights) , problems by MAA Released Mar 2025 Competition problems with answers All tasks public Last in a system card Apr 2025
Last model added Apr 2025
- Level
- Competition The strongest students, in olympiad-style contests
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
2
Models scored in lab cards
2
System cards report it, from 1 lab
Phi-4-Reasoning-plus leads with 89.4%
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.
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Phi-4-Reasoning-plus | 89.4% | Apr 2025 | Model card | |
| 2 | Phi-4-reasoning | 83.1% | Apr 2025 | Model card |
The best score passed 85% in Apr 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 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 |
|---|---|---|---|---|
| 30 Apr 2025 | Phi-4-reasoning technical report | 83.1 | AIME 83-24, average pass@1 over 5 runs (Figure 8, printed bar label) | Capabilities |
| 30 Apr 2025 | Phi-4-Reasoning-plus technical report | 89.4 | AIME 83-24, average pass@1 over 5 runs (Figure 8, printed bar label) | Capabilities |
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