TransClean Generation - Prompt 0 - Wrong Language: leaderboard

The TransClean paper measures unwanted extra text and wrong-language outputs when models translate a multilingual source collection. These are translation-generation diagnostics preceding TransClean's separate extraction task. Prompt 0 is a language-labelled completion, while prompts 1 and 2 explicitly request translation; error rates retain their lower-is-better meaning despite upward arrows in the source table. This series reports TransClean Generation - Prompt 0 - Wrong Language from 2609.11399v1, S1.T1: Wrong-language Rate (%). Lower is better.

Metric: Wrong-language Rate (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 12 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 30B A3B 2507 (Thinking)0.65#384
2Qwen 3 4B 2507 (Thinking)0.99#528
3Qwen 3 30B A3B 2507 Instruct1.18#501
4Qwen 3 4B 2507 Instruct1.77#770
5aya-expanse-32B4.93#691
6DeepSeek R1 Distill Qwen 32B11.92#663
7Qwen 2.5 32B Instruct15.22#511
8Llama 3.2 3B Instruct21.67#1332
9Gemma 3 27B (IT)31.82#530

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=transclean-generation-prompt-0-wrong-language · How It Works · Data refreshed daily, snapshot 2026-11-07.