New AI Music Model ACE Music v1 Surpasses Suno v6 in Vocal Rankings

Artificial intelligence has advanced significantly in song generation, with a lesser-known competitor recently outperforming industry heavyweight Suno in specific benchmark tests. Developed by ACE Studio, the ACE Music v1 software has secured the leading position on the Artificial Analysis vocal music leaderboard. According to the evaluation metrics, the model achieved 1,160 Elo points, surpassing Suno v6, which scored 1,144 points.

The benchmark measures vocal track quality through blind listening tests where evaluators compare songs created from identical prompts. While the lead remains narrow and statistical confidence intervals overlap, hands-on tests indicate that the new music model consistently delivers more melodic and coherent mainstream compositions. Listeners noted fewer synthetic artifacts, better handling of song endings, and more natural vocal performances compared to rival software.

ACE Music v1 surpassed Suno v6 on vocal leaderboards with more natural performances and better structure.

Despite these vocal improvements, Suno maintains an advantage when handling unconventional genres. During testing with melodic death metal prompts, ACE struggled with aggressive vocal delivery and genre consistency, whereas rival platforms produced more appropriate stylistic arrangements. Furthermore, Suno retains its leading position on the separate instrumental leaderboard.

Advanced Workflows and Future Releases

Beyond basic audio generation, the software offers an expanded songwriting workflow. An integrated feature develops preliminary concepts into structured compositions and lyrics. The v1.1 Preview version even generates a musical score prior to audio creation, allowing users to modify chords, extract melodies, export MIDI files, and separate vocal tracks from instrumentation.

The flagship application currently operates as a closed-source platform available via subscription on the official website. However, developers are maintaining a parallel open-source strategy alongside partners like StepFun, having already released the smaller, locally runnable ACE-Step 1.5. An open-source version of ACE Music v1 Flash is anticipated in late 2026 to balance performance and hardware demands.

Why it matters

The emergence of a new market leader in artificial intelligence audio generation demonstrates rapid technological progress and changing competitive dynamics within the sector. While proprietary software offers advanced production workflows for creators, open-source alternatives widen hardware accessibility for local users, shaping how musicians might incorporate automated assistance into future compositions.