RoundTripCodeEval - LZW: leaderboard

RoundTripCodeEval (RTCE; Maveli, Vergari and Cohen, 2026) tests whether models can execute and invert code, here an LZW compressor written in Python, on 250 synthetic inputs: predict the encoder output and the decoder output, directly and by inverting the function they are given. The board is the paper average of exact match, edit similarity and pass@5 over the four tasks, in percent (higher is better); zero-shot with one worked example.

Metric: Mean of exact match, edit similarity and pass@5 (%) over the four round-trip tasks for LZW (output prediction and input prediction, each directly and through the inverted function), 250 inputs, zero-shot with one worked example, five completions. Source: arxiv.org. Saturation forecast: Estimated already saturated. 15 models tracked.

Top models

#ModelScoreOverall rank
1QwQ-32B24.14#909
2DeepSeek R1 Distill Qwen 32B23.81#1780
3Qwen 2.5 Coder 32B Instruct21.06#1553
4DeepSeek R1 Distill Qwen 14B14.03#2594
5Codestral-22B-v0.17.77#2680
6Phi-3.5-mini-instruct4.81#5757
7Qwen 2.5 7B Instruct4.46#2583
8Yi-Coder-9B-Chat4.21#6839
9Phi-3 Mini 128K Instruct3.65#6952
10Mistral 7B Instruct (v0.3)2.25#6698
11Llama 3.1 8B Instruct0.82#4277
12DeepSeek R1 Distill Qwen 1.5B0.32#9257
13Llama 3.2 1B Instruct0.05#9109

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

Interactive version: theaggregate.ai/benchmark?slug=roundtripcodeeval-lzw · How It Works · Data refreshed daily, snapshot 2026-11-12.