DNA sequence design for transcription factor binding
Can the model reason accurately about difficult scientific material?
Science3 ranked models5 reported values1 reportsHigher is better
Top rankings
One row per model, using its best reported score across effort settings.
| Rank | Model | Best score | Best reported setting |
|---|---|---|---|
| 1 | GPT-5.5OpenAI | 16.50% | Reported configurationOpenAI report2 values · 1 reportAug 6, 2026 · source |
| 2 | GPT-5.6 SolOpenAI | 13.70% | Reported configurationOpenAI report2 values · 1 reportAug 6, 2026 · source |
| 3 | GPT-5.4OpenAI | 12.82% | Reported configurationOpenAI report1 value · 1 reportAug 6, 2026 · source |
Effort curve
Every sourced cost-linked effort value for this exact version. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundarylimited methodology
Can the model reason accurately about difficult scientific material?
Scientific knowledge and reasoning under the benchmark's published question set. Higher is better. The value is the percentage reported in this lab's table.
Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.
550 Nucleobench tasks across 11 transcription factors; compares generated designs against Ledidi.
Method / source