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GPQA Diamond (GPQA-D)

A display-only GPQA Diamond reference from provider comparison charts.

Benchmark score on GPQA-D — April 16, 2026

BenchLM mirrors the published score view for GPQA-D. Gemini 3.1 Pro leads the public snapshot at 94.3% , followed by Claude Opus 4.7 (94.2%) and GPT-5.4 (92.8%). BenchLM does not use these results to rank models overall.

11 modelsKnowledgeCurrentDisplay onlyUpdated April 16, 2026

The published GPQA-D snapshot is tightly clustered at the top: Gemini 3.1 Pro sits at 94.3%, while the third row is only 1.5 points behind. The broader top-10 spread is 8.3 points, so many of the published scores sit in a relatively narrow band.

11 models have been evaluated on GPQA-D. The benchmark falls in the Knowledge category. This category carries a 12% weight in BenchLM.ai's overall scoring system. GPQA-D is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About GPQA-D

Year

2026

Tasks

Graduate-level science questions

Format

Multiple choice questions

Difficulty

Graduate level

BenchLM stores GPQA-D separately from the standardized GPQA row when providers publish exact chart values that should not overwrite the core weighted benchmark.

BenchLM freshness & provenance

Version

GPQA-D 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Benchmark score table (11 models)

1
94.3%
2
94.2%
3
92.8%
4
89.5%
5
89.2%
6
88.5%
7
87.0%
8
86.9%
9
86.2%
10
86.0%
11
76.3%

FAQ

What does GPQA-D measure?

A display-only GPQA Diamond reference from provider comparison charts.

Which model scores highest on GPQA-D?

Gemini 3.1 Pro by Google currently leads with a score of 94.3% on GPQA-D.

How many models are evaluated on GPQA-D?

11 AI models have been evaluated on GPQA-D on BenchLM.

Last updated: April 16, 2026 · BenchLM version GPQA-D 2026

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