AssayBench - Adjusted nDCG@100 (Random Split): leaderboard

AssayBench hit ranking on the random split, the easier control for the temporal split, over the same LLMs. Adjusted nDCG at 100, higher is better. Source: genentech.github.io/AssayBench.

Metric: Adjusted nDCG@100 (%). Source: genentech.github.io. Saturation forecast: Around 2030. 28 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro16.02#82
2Gemini 3.1 Pro (Preview)15.1#64
3Gemini 3 Flash15.07#103
4GPT-5.414.69#83
5GPT-5.213.88#115
6GPT-5 Mini13.79#193
7Claude Opus 4.513.5#87
8Claude Sonnet 4.513.31#148
9Kimi K2.512.77#152
10GLM-512.71#149
11Qwen 3.5 397B A17B11.63#154
12DeepSeek V3.211.32#210
13GPT-OSS-20B11.26#523
14Qwen 3.5 35B A3B10.99#268
15Qwen 3.5 122B A10B10.95#184

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

Interactive version: theaggregate.ai/benchmark?slug=assaybench-adjusted-ndcg-100-random-split · How It Works · Data refreshed daily, snapshot 2026-11-05.