reasoning benchmark
DNA sequence design for transcription factor binding Leaderboard
DNA sequence design for transcription factor binding evaluates whether models can design DNA sequences with high transcription-factor affinity relative to a Ledidi baseline on Nucleobench-derived prompts.
Updated Oct 23, 2026
Models1
Model coverage1
MetricScore
EvidenceB
DNA sequence design for transcription factor binding Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score13.64% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
DNA sequence design for transcription factor binding Highlights
The leading models and scores on this benchmark.
The Top AI Models for DNA sequence design for transcription factor binding
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is DNA sequence design for transcription factor binding?
What DNA sequence design for transcription factor binding measures and how its scores work.
An OpenAI evaluation of DNA sequence design for transcription factor binding using Nucleobench-derived prompts and a Ledidi baseline.
It measures Score, reported as a ratio, for transcription-factor affinity relative to the Ledidi baseline.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- DNA sequence design for transcription factor binding
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about DNA sequence design for transcription factor binding.
Which model scores highest on DNA sequence design for transcription factor binding?
GPT-Rosalind is currently ranked first with 13.64%.
What are the top three models on DNA sequence design for transcription factor binding?
The current leaders are GPT-Rosalind (13.64%).
Which DNA sequence design for transcription factor binding model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among DNA sequence design for transcription factor binding results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.