GPQA Diamond Clean leaderboard

Combined ranking 268 configurations 189 retained questions

Rein et al. introduced GPQA (opens in a new tab), a 448-question graduate-level science benchmark; GPQA Diamond (opens in a new tab) is the paper's 198-question highest-quality subset. GPQA Diamond Clean (opens in a new tab) is this independent project's corrected overlay for Diamond, retaining 189 questions after nine audited exclusions—not an official update from the GPQA authors. The leaderboard credits Epoch AI's public GPQA Diamond evaluations (opens in a new tab) where used, while derived, recovery, and project-native evidence remain explicitly labelled.

Showing the first 25 of 268 configurations while the full leaderboard loads.

CSV

Cost available for 252 of 268 configurations · 16 unavailable · prices dated 2026-10-10. USD for the full 189-question Clean run, one attempt each. Explore the Cost–score frontierDownload cost data

Combined GPQA Diamond Clean ranking
Rank
Rank movement

Compares this configuration's standard competition rank on Clean 189 with its paired rank on Original 198.

↑
Improved
↓
Fell
—
Unchanged

Ranks use exact scores. Tied ranks list lower Cost first, with unavailable Cost last. Filters never recompute them.

ModelClean scoreCostClean changeBenchmark source
Benchmark source classes

How each score entered the combined ranking.

  • Strict

    Complete public evaluation evidence validated under the current contract.

  • Compatibility

    Complete legacy evidence translated through a versioned compatibility validator.

  • Derived uniform

    A globally complete repeat subset reconstructed consistently for every question.

  • Targeted recovery

    Original attempts plus only the exact failed source slots recovered under a declared route.

  • Complete native primary

    A complete independent all-198 run on one declared primary route.

  • Native transport composite

    Complete independent results across the original run and documented transport recovery, preserving every previously scored answer.

Full admission method →
1— GPT 6 AstraOpenAI · mean@1 · maxNative transport composite Clean score98.9% Cost$16.72 Clean change+3.0 ppfrom 96.0%
Benchmark sourceNative transport composite
2↑2 GPT 6.1 SolOpenAI · mean@1 · maxNative transport composite Clean score98.4% Cost$3.58 Clean change+3.5 ppfrom 94.9%
Benchmark sourceNative transport composite
2— GPT 6 SolOpenAI · mean@1 · maxNative transport composite Clean score98.4% Cost$4.61 Clean change+3.0 ppfrom 95.5%
Benchmark sourceNative transport composite
2— GPT 6 Astra ProOpenAI · mean@1 · maxComplete native primary Clean score98.4% Cost$21.81 Clean change+3.0 ppfrom 95.5%
Benchmark sourceComplete native primary
5↑2 Gemini 3.7 FlashGoogle · mean@1 · highNative transport composite Clean score97.4% Cost$2.02 Clean change+2.9 ppfrom 94.4%
Benchmark sourceNative transport composite
5↓1 Gemini 3.8 FlashGoogle · mean@1 · highNative transport composite Clean score97.4% Cost$4.33 Clean change+2.4 ppfrom 94.9%
Benchmark sourceNative transport composite
5↑5 Gemini 3.6 FlashGoogle · mean@1 · highNative transport composite Clean score97.4% Cost$6.10 Clean change+3.4 ppfrom 93.9%
Benchmark sourceNative transport composite
5↑5 GPT 5.5 Pro pre-releaseOpenAI · mean@7 · xhighDerived uniform Clean score97.4% Cost$196.29 Clean change+3.4 ppfrom 93.9%
Benchmark sourceDerived uniform
9— GPT 5.5 pre-releaseOpenAI · mean@8 · xhighStrict Clean score97.2% Cost$31.35 Clean change+3.2 ppfrom 94.0%
Benchmark sourceStrict
10↓4 Gemini 3.1 Pro PreviewGoogle · mean@8 · defaultTargeted recovery Clean score97.0% Cost$14.14 Clean change+2.5 ppfrom 94.5%
Benchmark sourceTargeted recovery
11↑1 GPT 5.6 SolOpenAI · mean@1 · maxComplete native primary Clean score96.8% Cost$7.44 Clean change+3.4 ppfrom 93.4%
Benchmark sourceComplete native primary
12↑1 GPT 5.4OpenAI · mean@8 · xhighTargeted recovery Clean score96.7% Cost$15.98 Clean change+3.4 ppfrom 93.2%
Benchmark sourceTargeted recovery
13↑7 Qwen3.8 Max 0902Qwen · mean@1 · xhighComplete native primary Clean score96.3% Cost$13.58 Clean change+3.9 ppfrom 92.4%
Benchmark sourceComplete native primary
13↓6 Gemini 3.1 Pro PreviewGoogle · mean@1 · highStrict Clean score96.3% Cost$14.97 Clean change+1.9 ppfrom 94.4%
Benchmark sourceStrict
13↑1 Grok 4.7xAI · mean@1 · xhighNative transport composite Clean score96.3% Cost$22.94 Clean change+3.4 ppfrom 92.9%
Benchmark sourceNative transport composite
16↑2 Gemini 3.5 FlashGoogle · mean@8 · highStrict Clean score96.1% Cost$9.76 Clean change+3.3 ppfrom 92.8%
Benchmark sourceStrict
17↓3 DeepSeek V4 FlashDeepSeek · mean@1 · maxComplete native primary Clean score95.8% Cost$2.06–$4.11 Clean change+2.8 ppfrom 92.9%
Benchmark sourceComplete native primary
17↓3 Claude Sonnet 5.5Anthropic · mean@1 · highDirect API run Clean score95.8% Cost$2.10 Clean change+2.8 ppfrom 92.9%
Benchmark sourceDirect API run
17↑3 Grok 4.6xAI · mean@1 · highComplete native primary Clean score95.8% Cost$6.51 Clean change+3.3 ppfrom 92.4%
Benchmark sourceComplete native primary
20↓1 Gemini 3 Pro PreviewGoogle · mean@8 · defaultStrict Clean score95.5% Cost$18.87 Clean change+2.9 ppfrom 92.6%
Benchmark sourceStrict
21↑12 GPT 6 LunaOpenAI · mean@1 · maxComplete native primary Clean score95.2% Cost$0.94 Clean change+4.3 ppfrom 90.9%
Benchmark sourceComplete native primary
21↓1 DeepSeek V4.1 FlashDeepSeek · mean@1 · maxComplete native primary Clean score95.2% Cost$1.36–$2.73 Clean change+2.8 ppfrom 92.4%
Benchmark sourceComplete native primary
21↓1 DeepSeek V4 ProDeepSeek · mean@1 · maxComplete native primary Clean score95.2% Cost$6.54–$13.08 Clean change+2.8 ppfrom 92.4%
Benchmark sourceComplete native primary
21↓7 Claude Opus 5Anthropic · mean@1 · noneStrict Clean score95.2% Cost$7.32 Clean change+2.3 ppfrom 92.9%
Benchmark sourceStrict
21↑4 Ember-1Fireworks · mean@1 · maxNative transport composite Clean score95.2% Cost$10.02 Clean change+3.3 ppfrom 91.9%
Benchmark sourceNative transport composite

What changed

Nine defective questions moved scores and ranks.

Cleaning did not make models more capable. It removed questions that could not fairly distinguish a correct answer, then recomputed every accepted configuration on the same retained membership.

Scores that rose
260 / 268
Crossed 95%
26
Observed ranks changed
195
Unresolved evidence
0

The broader answer-key audit

When the Answer Key Is Wrong

This leaderboard is the GPQA Diamond results layer of a broader calibrated audit of GPQA, MMLU-Pro, and MMMU-Pro. The paper explains how questionable items were found, how over-calls were stripped away, and why a single disagreement pass can miss benchmark defects.

Adam Allcock · Preprint · July 24, 2026

Latest published paper10.5281/zenodo.21613590 (opens in a new tab)

01

One combined rank.

Every accepted mean@N protocol shares the ranking. Repeat count remains explicit and is not normalized away.

How ranking works
02

Every score carries evidence.

5 accepted evidence pathways are reconciled into 268 canonical configurations without hiding their source class.

Use the evidence key