RTL-BenchLS - Round-Trip Python: leaderboard

Round-trip reasoning on 420 designs: the model translates a Verilog design into executable Python, then regenerates the RTL from its own Python code, 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 round-trip reasoning on 420 designs (slice 1 of RTL-BenchLS): the model compresses a Verilog design into an intermediate abstract, then regenerates the RTL from its own abstract, the abstract executable Python code; 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 March 2028. 8 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.552.1#250
2GPT-4o39.8#741
3DeepSeek V3.239.5#406
4Claude Haiku 4.531.4#568
5GPT-4o Mini25#1623
6Llama 3.3 70B Instruct18.8#1357
7Qwen 3.5 397B A17B0.7#246

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-round-trip-python · How It Works · Data refreshed daily, snapshot 2026-11-13.