Identity
- Status
- active
- Developer ID
lyria-3.5- Released
- Jul 29, 2026
- Version
- Lyria 3.5
- License
- Unknown
Lyria 3.5 is Google DeepMind's music generation model for high-quality tracks with improved musicality, lyrics, and vocals.
2 current sourced offerings
At a Glance
lyria-3.5This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.
Primary Evidence
Comparable Peers
| A | Pair | B | Context |
|---|---|---|---|
Lyria 3.5Google DeepMind | vs | Gemini 3.1 ProGoogle DeepMind | developer peerstext |
Questions
Lyria 3.5 is Google DeepMind's music generation model for high-quality tracks with improved musicality, lyrics, and vocals. It is developed by Google DeepMind and its current sourced lifecycle status is active.
Lyria 3.5's current record lists Text and Image as input and Text and Audio as output.
The current record lists a 1,049K-token context window and a maximum output of 66K tokens.
Lyria 3.5 is marked as API-available. The directly sourced provider records currently include Google AI and Google Gemini.
The current record lists an unknown total parameter count and an unknown active parameter count. Its architecture is latent diffusion over temporal audio latents.
Lyria 3.5's recorded capabilities are generation, image-to-music, lyrics, music-generation, synthid, and vocals. Its supported tasks are audio, image-to-audio, music-generation, and text-to-audio.
No directly sourced token price is currently attached to Lyria 3.5. Missing prices remain unknown rather than being inferred from another model or provider.
Lyria 3.5 is not marked as an open-weight model. Self-hosting is marked as unsupported, with no license recorded.
No predecessor is recorded. No successor is recorded. Recorded aliases are lyria-3.5 and Lyria 3.5.
The current compatible peer set includes Gemini 3.1 Pro. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →