RTL-BenchLS - Masked-Content Reasoning: leaderboard

Masked-content reasoning on 420 designs: one block or sub-module instantiation of a Verilog design is masked and the model restores it from the surrounding code and a description of the masked logic, from RTL-BenchLS (2026), a benchmark of formally verified Verilog designs; the score is the functional pass rate in percent, where output must be formally equivalent to the golden design (Cadence LEC or SEC), and higher is better.

Metric: Functional pass rate (%) on masked-content reasoning on 420 designs: one always/assign/case block or sub-module instantiation is masked and the model restores it from the surrounding code and its own description of the masked block; functional pass rate (%; output formally equivalent to the golden design, Cadence Conformal LEC for combinational and JasperGold SEC for sequential designs), temperature 0.2; higher is better. Source: arxiv.org. Saturation forecast: Around 2030. 8 models tracked.

Top models

#ModelScoreOverall rank
1Llama 3.3 70B Instruct28.2#1357
2Claude Haiku 4.527.5#568
3Qwen 3.5 397B A17B27.5#246
4DeepSeek V3.227.3#406
5Claude Sonnet 4.526.8#250
6GPT-4o22.4#741
7GPT-4o Mini21.9#1623

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=rtl-benchls-masked-content-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-13.