Photonic PCFBench - Parameter Selection: leaderboard

PCFBench v1 Appendix full results; 26 isolated tasks across six categories; temperature0.1, task-specific64–2048token budgets; native fractions/errors. Paired structure+field and Field-only contexts separate. Closed-loop success uses expert sign/magnitude constraints, not physical resimulation; Human Score mean of six dimensions/two experts on120samples. Source-disputed summary/appendix cells and unbound checkpoint variants withheld.

Metric: Accuracy. Source: arxiv.org. Saturation forecast: Not forecast. 31 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 VL 72B Instruct0.67#383
2GPT-4o Mini0.65#598
3Ministral-3-8B-Instruct-25120.64#663
4Claude Opus 4.5 (Thinking)0.63#87 (Claude Opus 4.5)
5Qwen 2.5 VL 7B Instruct0.61#650
6Gemini 3 Flash0.61#103
7Claude Opus 4.5 (Non-reasoning)0.58#87 (Claude Opus 4.5)
8Qwen 2 VL 72B Instruct0.55#551
9Claude Sonnet 4.5 (Thinking)0.54#148 (Claude Sonnet 4.5)
10Qwen 3 VL 235B A22B Instruct0.5#280
11Claude Sonnet 4.5 (Non-reasoning)0.49#148 (Claude Sonnet 4.5)
12O30.48#132
13Qwen 3.5 122B A10B0.43#184
14Gemini 2.5 Flash Lite0.42#432
15GPT-50.42#105

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=photonic-pcfbench-parameter-selection · How It Works · Data refreshed daily, snapshot 2026-11-05.