LLM Reference
activeMathematicsReasoning

FrontierMath Tier 4

Metric: Accuracy (higher is better)Introduced: 2026

FrontierMath Tier 4 research-mathematics benchmark tier for frontier reasoning models. In this datapack only GPT-5.5 Pro has a sourced score; no Claude Opus 4.8 score was found.

Models ranked

1

tracked on this benchmark

Score band

39.6 – 39.6

best → lowest tracked

Snapshot trend

need ≥2 snapshots

Leaderboard

Tracked models ranked by Accuracy (higher is better).

Compare candidates
#Model variant and provenanceScore
1
GPT-5.5 Pro
Version: FrontierMath Tier 4; GPT-5.5 Pro computeHarness: Not recordedEvaluator: Not recordedObserved: Apr 24, 2026Confidence: Not recordedSource

Notes: One of the explicitly Pro-differentiated scores. No Claude Opus 4.8 FrontierMath Tier 4 score was found, so this is GPT-only evidence.

39.6

How to read this benchmark

This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

Related benchmarks

Last reviewed: Jun 17, 2026

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