Photonic PCFBench - Design Direction Pitch: 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
1Claude Opus 4.5 (Thinking)0.66#87 (Claude Opus 4.5)
2Gemini 3 Flash0.65#103
3Claude Opus 4.5 (Non-reasoning)0.62#87 (Claude Opus 4.5)
4O30.62#132
5Claude Sonnet 4.5 (Thinking)0.6#148 (Claude Sonnet 4.5)
6GPT-50.57#105
7GPT-4o Mini0.55#598
8Claude Sonnet 4.5 (Non-reasoning)0.53#148 (Claude Sonnet 4.5)
9Qwen 2.5 VL 7B Instruct0.52#650
10O4 Mini0.51#185
11GPT-5 Mini0.49#193
12Qwen 2.5 VL 72B Instruct0.43#383
13Ministral-3-8B-Instruct-25120.42#663
14Qwen 2 VL 72B Instruct0.4#551
15Qwen 3.5 122B A10B0.39#184

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-design-direction-pitch · How It Works · Data refreshed daily, snapshot 2026-11-05.