PCFBench - Mapping Triage: leaderboard

PCFBench (2026) is a diagnostic benchmark for product carbon footprint estimation, carving the workflow into independently scored tasks over 614 expert-labelled items. Accuracy of deciding whether to map a material directly or decompose it further, agentic harness, in percent; higher is better.

Metric: Accuracy (%; deciding, for 200 candidate materials, whether to map directly or decompose further; agentic harness; from PCFBench, a product-carbon-footprint benchmark of 614 expert-labelled items; scored deterministically or by a temperature-0 judge; higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 8 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.672#158
2Claude Haiku 4.571#568
3Gemini 3.1 Pro (Preview)70#91
4DeepSeek V3.269#403
5GPT-5.568#48
6Gemini 3 Flash68#159
7Claude Opus 4.666#100
8GPT-5.4 Mini62#389

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=pcfbench-mapping-triage · How It Works · Data refreshed daily, snapshot 2026-11-12.