Google DeepMind Launches Lyria 3.5 Music Generation Model in Flow Music

Google DeepMind released Lyria 3.5, the newest version of its music generation model, on July 29, 2026, rolling it out immediately inside Google Flow Music.

The update targets four areas: musicality, lyrics, vocals, and creative control. Google DeepMind did not disclose parameter count, training data cutoff, benchmark scores, or pricing for the model.

What's changed

According to Google, Lyria 3.5 introduces the following improvements over prior versions:

• Musicality: The model claims to generate "richer, more complex melodic structures" with more natural-sounding composition.
• Lyrics: Google states the model produces higher-quality lyrics with improved adherence to user prompts and better awareness of song structure (verse, chorus, bridge).
• Vocals: The company claims more realistic and emotionally nuanced vocal output, along with improved pronunciation.
• Creative control: Users get more direct control over tempo and output duration, according to Google.

No technical paper, benchmark comparison, or third-party evaluation accompanied the announcement. All quality claims come directly from Google's blog post and have not been independently verified.

Availability

Lyria 3.5 is available now inside Google Flow Music, Google's music creation product. Google did not specify whether the model is accessible via API, whether it will be offered to enterprise customers, or how it fits into pricing tiers for Flow. Access appears limited to the Flow Music interface at launch.

Google also did not clarify whether Lyria 3.5 replaces the prior Lyria model entirely within Flow or runs alongside it, nor did it specify geographic availability or language support for lyric generation.

What this means

Lyria 3.5 is a narrow, product-focused update rather than a foundational model release with public benchmarks. Google is positioning this squarely as a consumer creative tool improvement inside Flow Music, competing with music generation products from Suno and other AI audio startups that have pushed rapidly on vocal realism and songwriting quality over the past two years.

The lack of published benchmarks or technical detail is consistent with how Google has handled prior Lyria releases — treating the model as an internal capability layer for consumer products rather than a developer-facing API with quantifiable specs. That makes independent comparison to competitors difficult until users can test outputs directly in Flow Music.

The emphasis on lyric structural awareness and vocal pronunciation suggests Google is specifically targeting complaints common to AI music tools: garbled vocals and lyrics that ignore song structure. Whether these improvements hold up against Suno's latest models or open competitors will depend on user testing now that the model is live, rather than any claims in Google's announcement.