WuYuEval - Foundation Module - Macro-F1: leaderboard

Macro-F1 on the Foundation Module of WuYuEval (arXiv 2608.07529v1, Appendix Table 7): 4,590 audited closed-ended multiple-choice solid-waste-management questions across six task types and eight domain categories. Percent; higher is better; standard and thinking modes of the same model are separate rows.

Metric: Macro-F1 (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 33 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.595.73#87
2Gemini 3 Pro (Preview)95.53#71
3GLM-4.6 (Non-reasoning)93.54#265 (GLM-4.6)
4DeepSeek V3.2 (Thinking)93.51#210 (DeepSeek V3.2)
5Qwen 3 Max93.09#213
6DeepSeek V3.2 (Non-reasoning)92.66#210 (DeepSeek V3.2)
7Qwen 3 235B A22B (Thinking)92.54#323 (Qwen 3 235B A22B)
8Kimi K2 (Thinking)92.23#252 (Kimi K2)
9GPT-5.291.36#115
10Qwen 3 235B A22B Instruct90.93#336
11Qwen 3 32B (Thinking)89.58#449 (Qwen 3 32B)
12Qwen 3 32B (Non-reasoning)89.18#449 (Qwen 3 32B)
13Qwen 3 14B (Reasoning)87.7#542 (Qwen 3 14B)
14GLM-4.6 (Thinking)86.53#265 (GLM-4.6)
15Gemma 3 27B (IT)84.73#528

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

Interactive version: theaggregate.ai/benchmark?slug=wuyueval-foundation-module-macro-f1 · How It Works · Data refreshed daily, snapshot 2026-11-05.