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science benchmark

De novo protein binder design Leaderboard

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

Models1
Model coverage1
MetricScore
EvidenceB

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De novo protein binder design Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Sonnet 5.5AnthropicScore82.30%Percentile100.00%Participants1EvidenceCEvaluatedOct 22, 2026

De novo protein binder design Highlights

The leading models and scores on this benchmark.

Rank #1Claude Sonnet 5.582.30%

The Top AI Models for De novo protein binder design

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.

  1. 01
    AN
    Anthropic
    Score
    82.30%
    Price
    $2.0 input / $10 output per 1M tokens
    Speed
    Up to 42.00 tok/s via Anthropic

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures De novo protein binder design, not total model capability

Selection summary

Best AI Models for De novo protein binder design

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 is De novo protein binder design?

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.

Family
De novo protein binder design
Modality
text
Primary category
science
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 De novo protein binder design.

Which model scores highest on De novo protein binder design?

Claude Sonnet 5.5 is currently ranked first with 82.30%.

What are the top three models on De novo protein binder design?

The current leaders are Claude Sonnet 5.5 (82.30%).

Which De novo protein binder design model has the lowest official input price?

Claude Sonnet 5.5 has the lowest matched official input price at $2.0 input / $10 output per 1M tokens.

Which models are fastest among De novo protein binder design results?

The fastest matched records are Claude Sonnet 5.5 (42.00 tok/s via Anthropic).

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.

What does De novo protein binder design measure?

It reports a Score in ratio units for designing 30 miniprotein binders per target within the fixed 24-hour wall-clock budget.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Claude Sonnet 5.5
Benchmark rank #1Claude Sonnet 5.582.30% · $2.0 input / $10 output per 1M tokens