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Edition·2026-10-19 · Mon

Fed from·Epoch AI·HF Open LLM·OpenAlex·OpenAI evals

The benchmark record for AI models.

Every reported score is tagged by how it was checked — independently reproduced, vendor self-reported, contradicted, or unverified — and every benchmark is graded on the four signals that decide whether a number still means something. We grade the evaluations, not just the models.

Latest measurement·2026-10-07·35 of 65 benchmarks graded A

At a glancesnapshot 2026-10-07
Benchmarks graded
65
35 rated A
Models tracked
497
Claims in ledger
3,086
Independently reproduced
20%
602 of 3,086

How trustworthy the evaluations are

Benchmark integrity

saturated · belief erodes50607080901000.20.40.60.81.0saturation — top score's proximity to ceiling →integrity →DTBenchOTIS Mock AIME 2024-2025GPQA diamondLAMBADA
ABCDdot size = models scored · 65 benchmarks

Trust holds the top-left; the bottom-right is where scores max out and belief erodes. The best-graded benchmarks:

A
Chess Puzzles
A
FrontierMath-Tier-4-v2-Private
A
FrontierMath-Tiers-1-3-v2-Private
A
ARC-AGI-2
A
DTBench
A
FrontierMath-2025-02-28-Private

Top 10 models by rank

Frontier leaderboard

Scores through 2026-10-07Full leaderboard →
#ModelLabLeadsAvg gapEvidence
1GPT-6 AstraOpenAI133.0unverified
2Claude Fable 5Anthropic511.9reproduced
3Claude Opus 5.5Anthropic94.1unverified
4GPT-5OpenAI431.1reproduced
5GPT-5.5OpenAI417.4reproduced
6GPT-6.1 SolOpenAI44.7unverified
7Gemini 4 ArgonGoogle DeepMind48.5unverified
8Claude Opus 4.6Anthropic325.6reproduced
9Gemini 3 ProGoogle DeepMind220.2reproduced
10Llama 3.1-405BMeta AI237.3reproduced

Leads = benchmarks topped; avg gap = mean points behind SOTA elsewhere. Evidence tags how each score was checked — a score is f(model, harness, protocol), not f(model).

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