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Benchmark explainer

What is FrontierMath Tiers 1–3?

Research-level novel math, far beyond competition

FrontierMath (private v2, tiers 1-3) — original, unpublished research-level mathematics problems commissioned by Epoch AI to resist memorization and contamination; scored as accuracy (%). The private held-out set keeps the test set uncontaminated.

AINTEGRITY 99 / 100tensor.news
consistent harnessheld-out test set

How it's scored

Metric
Exact-match auto-verified (SymPy/numeric)
Score ceiling
100
Construction
60+ mathematicians; v2 ~338 Tier1-3 + Tier4; auto-checkable answers
Human baseline
No human solves the set; hours-days per problem

How trustworthy

Discrimination

100/100

Does it still separate models?

Saturation headroom

97.8/100

How far from ceiling / clustered at the top?

Contamination resistance

100/100

Public vs held-out; training-leak risk.

Harness comparability

100/100

Is it apples-to-apples, or mixed / vendor-optimized?

Freshness

100/100

How old is the benchmark?

Contamination history: OpenAI (funder) had access to ~28/48 Tier-4 under verbal no-train; undisclosed funding scandal 2025

Limitations: Excludes proofs; tiny; correct answer can hide invalid method; access controversy

Who leads FrontierMath Tiers 1–3

ModelScoreEvidence
GPT-6.1 Sol93.68unverified
GPT-6 Astra93.68unverified
Claude Opus 5.591.23unverified
Claude Fable 5.190.18unverified
GPT-6 Sol89.82unverified

Compare the top FrontierMath Tiers 1–3 scorers

Frequently asked questions

FrontierMath-Tiers-1-3-v2-Private (FrontierMath): FrontierMath (private v2, tiers 1-3) — original, unpublished research-level mathematics problems commissioned by Epoch AI to resist memorization and contamination; scored as accuracy (%). The private held-out set keeps the test set uncontaminated.

GPT-6.1 Sol leads FrontierMath-Tiers-1-3-v2-Private at 93.68. The full leaderboard above lists every recorded measurement, not just the headline number.

84 models have recorded scores on FrontierMath-Tiers-1-3-v2-Private, spanning a score spread of 93.68.

tensor.news grades FrontierMath-Tiers-1-3-v2-Private A for integrity (score 99/100), ranking #3 of 65 benchmarks we assess across discrimination, saturation, contamination resistance, harness comparability, and freshness.

No — FrontierMath-Tiers-1-3-v2-Private still has headroom and continues to discriminate between models rather than bunching them at the ceiling.

Its test set is held-out, which lowers — but does not eliminate — the risk that training data leaked into the questions.

Scores are reported under a consistent harness, so comparisons on FrontierMath-Tiers-1-3-v2-Private are reasonably apples-to-apples.

Every FrontierMath-Tiers-1-3-v2-Private measurement is source-backed and tagged reproduced, self-reported, or unverified; the underlying record cites epoch.ai/frontiermath.

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