Reported in recent model launches

These model reports include this benchmark. Their harnesses, task subsets, scoring policies, and resource budgets can differ; follow each report’s evaluation notes before joining the numbers.

What it measures

Olympiad-related mathematics is evaluated through answer-oriented scoring in frontier model reports.

How to read the result

Read the score as the published answer-checking contract. Ask whether a proof-sensitive companion evaluation supports the same conclusion.

Limits and comparison traps

An answer benchmark is not an official IMO medal result or formal proof certification. Reported task splits and inference budgets must remain visible.

Benchmark reference notes

International Mathematical Olympiad-style problems reformulated with verifiable short/numerical answers.

Where this fits in an evaluation suite

Final-answer accuracy, proof credit, and expert-reviewed research progress are distinct signals. A proof-aware evaluation should retain partial work and audit strong claims.

Start with a capability hypothesis, then choose a second test with a different failure mode. Keep the checkpoint, reasoning effort, agent tools, sampling policy, and scoring procedure fixed when measuring a training intervention. Record failures and missing outputs in the denominator.

A reproducible comparison

Pin the benchmark release, task split, model configuration, tools, sampling budget, and evaluation harness described by the primary source.

Publish the exact run configuration, item coverage, score units, and available uncertainty. If a source supplies only an aggregate or a single run, preserve that limit. A new model name or a rounded score alone does not establish a capability improvement.

PRIMARY EVIDENCE & FURTHER READING

  1. moonshotai/Kimi-K2.6 · Hugging Face ↗

    Moonshot AI

Reviewed 2026-10-26. Explanation and interpretation by RLTasks. Benchmark ownership remains with its original authors.