science benchmark
De novo protein binder design requires designing a set of 30 miniprotein binders for each of 15 protein targets within a fixed 24-hour wall-clock budget, given the target structure.
Updated Oct 23, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score82.30% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis de novo protein binder design AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Claude Sonnet 5.5 currently leads De novo protein binder design with 82.30%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What De novo protein binder design measures and how its scores work.
A science benchmark for de novo protein binder design across 15 protein targets.
It reports a Score in ratio units for designing 30 miniprotein binders per target within the fixed 24-hour wall-clock budget.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about De novo protein binder design.
Claude Sonnet 5.5 is currently ranked first with 82.30%.
The current leaders are Claude Sonnet 5.5 (82.30%).
Claude Sonnet 5.5 has the lowest matched official input price at $2.0 input / $10 output per 1M tokens.
The fastest matched records are Claude Sonnet 5.5 (42.00 tok/s via Anthropic).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It reports a Score in ratio units for designing 30 miniprotein binders per target within the fixed 24-hour wall-clock budget.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.