AIME-2025#

Overview#

AIME 2025 (American Invitational Mathematics Examination 2025) is a benchmark based on problems from the prestigious AIME competition, one of the most challenging high school mathematics contests in the United States. It tests advanced mathematical reasoning and problem-solving skills.

Task Description#

  • Task Type: Competition Mathematics Problem Solving

  • Input: AIME-level mathematical problem

  • Output: Integer answer (0-999) with step-by-step reasoning

  • Difficulty: Advanced high school / early undergraduate level

Key Features#

  • Problems from AIME I and AIME II 2025 competitions

  • Answers are always integers between 0 and 999

  • Requires creative mathematical reasoning and problem-solving

  • Topics: algebra, geometry, number theory, combinatorics, probability

  • Represents top-tier high school mathematics competition difficulty

Evaluation Notes#

  • Default configuration uses 0-shot evaluation

  • Answers should be formatted within \boxed{} for proper extraction

  • Uses LLM-as-judge for mathematical equivalence checking

Properties#

Property

Value

Benchmark Name

aime25

Dataset ID

evalscope/aime25

Paper

N/A

Tags

Math, Reasoning

Metrics

acc

Default Shots

0-shot

Evaluation Split

test

Data Statistics#

Metric

Value

Total Samples

30

Prompt Length (Mean)

604.93 chars

Prompt Length (Min/Max)

208 / 1862 chars

Sample Example#

Subset: default

{
  "input": [
    {
      "id": "bff66863",
      "content": "\nSolve the following math problem step by step. Put your answer inside \\boxed{}.\n\nFind the sum of all integer bases $b>9$ for which $17_b$ is a divisor of $97_b.$\n\nRemember to put your answer inside \\boxed{}."
    }
  ],
  "target": "70",
  "id": 0,
  "group_id": 0
}

Prompt Template#

Prompt Template:

Solve the following math problem step by step. Put your answer inside \boxed{{}}.

{question}

Remember to put your answer inside \boxed{{}}.

Usage#

Using CLI#

evalscope eval \
    --model YOUR_MODEL \
    --api-url OPENAI_API_COMPAT_URL \
    --api-key EMPTY_TOKEN \
    --datasets aime25 \
    --limit 10  # Remove this line for formal evaluation

Using Python#

from evalscope import run_task
from evalscope.config import TaskConfig

task_cfg = TaskConfig(
    model='YOUR_MODEL',
    api_url='OPENAI_API_COMPAT_URL',
    api_key='EMPTY_TOKEN',
    datasets=['aime25'],
    limit=10,  # Remove this line for formal evaluation
)

run_task(task_cfg=task_cfg)