According to Google Gemini on X (@GeminiApp), users can now generate and mix up to 3‑minute high‑fidelity music tracks for free using Lyria 3 Pro inside Gemini by selecting Create music in the tools menu and choosing Thinking or Pro from the model picker. As reported by Google Gemini, the update expands accessible AI music production, enabling faster prototyping for creators, advertisers, and game studios with text‑to‑music composition and customizable mixing. According to Google Gemini, the free tier lowers entry barriers for indie artists and agencies to test sonic branding, while the Pro option suggests higher control for production use cases. As reported by Google Gemini, these capabilities position Gemini as a direct competitor in AI audio tooling, creating opportunities for content platforms, stock audio marketplaces, and enterprise marketing teams to streamline music workflows.

According to Google DeepMind, its Model Garden now provides access to 200+ leading AI models, featuring new flagship releases Gemini 3.1 Pro, Gemini 3.1 Flash Image, and Lyria 3, alongside open models such as Gemma 4 (source: Google DeepMind on X). As reported by Google DeepMind, this consolidated catalog streamlines enterprise procurement and evaluation by unifying multimodal reasoning, image generation, and music models under one interface, enabling faster prototyping and vendor risk diversification. According to Google DeepMind, businesses can leverage Gemini 3.1 Pro for complex multimodal reasoning, use Gemini 3.1 Flash Image for higher-throughput image workflows, adopt Lyria 3 for audio and music creation, and deploy Gemma 4 for open-weight customization and on-prem inference. As reported by Google DeepMind, the breadth of models in Model Garden supports model routing, cost-performance optimization, and compliance choices across closed and open families, creating clear opportunities for solution integrators, MLOps platforms, and regulated industries to standardize evaluation pipelines and reduce time-to-production.

According to Google on X, Lyria 3 is the company’s latest music generation model that enables users to create custom tracks from text and photos, accompanied by best-practice prompting tips for improved output quality. As reported by Google Gemini on X, these tips focus on providing clear genre, mood, tempo, instrumentation, structure, and reference descriptors to guide Lyria 3’s composition, improving coherence and stylistic control for marketing jingles, social video soundtracks, and creator monetization workflows. According to Google’s post, image inputs can shape sonic palettes and themes, opening opportunities for brands to auto-score campaign assets and for platforms to streamline UGC audio creation. For businesses, this points to faster production pipelines, lower licensing costs, and scalable personalization in music-driven campaigns, as reported by the original Google X post shared by Google Gemini.

According to Google Gemini on X (Twitter), Gemini users on AI Plus, Pro, and Ultra tiers can now generate music tracks up to 3 minutes using Lyria 3 Pro, including lyric-enabled, high‑fidelity compositions from photos or text prompts (source: Google Gemini). As reported by Google Gemini, the update expands prior clip limits and positions Lyria 3 Pro as a turnkey generative audio model inside Gemini for consumer and creator workflows (source: Google Gemini). According to Google Gemini, this enables music creators, marketers, and short‑form video producers to rapidly prototype soundtrack ideas, branded jingles, and social ads, lowering production costs and time to publish (source: Google Gemini). As noted by Google Gemini, access is limited to paid Gemini plans, signaling a monetization path for long‑form generative audio and potential upsell opportunities to Pro and Ultra subscribers (source: Google Gemini).

According to Google Gemini on X (@GeminiApp), Lyria 3 is designed for rapid, fun music generation and easy sharing inside Gemini, while Lyria 3 Pro offers enhanced musical flow and deeper customization for more polished outputs, available to Google AI Plus, Pro, and Ultra users. As reported by Google Gemini, creators seeking quick ideation can use Lyria 3 to sketch hooks and short tracks, whereas producers needing control over arrangement, dynamics, and style coherence should opt for Lyria 3 Pro to elevate production quality. According to the same source, the tiered access model signals a freemium upsell path for AI music tooling, creating business opportunities for subscription bundles, creator workflows, and licensing-ready outputs within Google’s ecosystem.

According to Ethan Mollick on X, Google’s new Lyria 3 Pro music AI can transform text and poetry prompts—such as Rilke’s First Elegy—into stylistically targeted songs like a “1990s boy band” rendition, demonstrating high-fidelity style transfer and catchy vocal hooks (as reported by Ethan Mollick). According to Mollick, the system reliably follows creative direction, implying strong prompt adherence and controllability that could streamline songwriting, ad jingle production, and rapid prototyping for labels and creators (as reported by Ethan Mollick). According to Mollick, real-time iteration makes it feasible to produce multiple branded cuts quickly, suggesting opportunities for subscription tools, creator platforms, and enterprise media pipelines that need fast, consistent music variants (as reported by Ethan Mollick).