Runware has announced the availability of Google DeepMind’s Gemini Omni Flash through its unified API platform, giving developers and enterprises immediate access to the multimodal video generation and editing model. Available without a waitlist and supporting commercial use from day one, the integration enables organizations to access Gemini Omni Flash alongside Runware’s broader portfolio of AI models through a single API.
Gemini Omni Flash is the first model in Google DeepMind's Omni family and is designed for multimodal video generation and editing. Unlike traditional text-to-video models, it accepts text, images, and videos as input to generate video content grounded in real-world knowledge, including physics, geography, language, and cultural context.
A key capability of the model is conversational multi-turn editing, allowing users to refine videos through successive natural language instructions while maintaining consistency across characters, scenes, and locations. This eliminates the need to regenerate entire videos when making iterative changes during production.
With Gemini Omni Flash now available on Runware's API, developers and enterprise teams can integrate the model alongside the company's extensive collection of image, video, audio, 3D, and large language models using a single implementation.
The platform is powered by Runware's proprietary Sonic Inference Engine, which offers usage-based pricing, high concurrency, no GPU provisioning requirements, and no long-term contracts. This approach enables organizations to deploy production-scale AI workflows without managing separate infrastructure for different AI models.
Gemini Omni Flash on Runware supports a broad range of AI-powered video creation and editing capabilities, including:
These features are designed to help production teams simplify video creation while maintaining consistency across edits and large-scale creative projects.
Runware has positioned the integration for enterprise organizations requiring scalable AI infrastructure. Enterprise customers receive dedicated requests-per-minute (RPM) allocation, volume-based pricing, 24/7 engineering support, and unified access to the company's complete AI model ecosystem.
The platform also supports enterprise security requirements through SOC 2 and ISO 27001 certifications, GDPR compliance, and authentication features including SSO and SAML.
The addition of Gemini Omni Flash further expands Runware's unified AI platform, enabling businesses to consolidate multimodal AI workflows across video, image, audio, 3D, and language models through a single API integration.
Runware is a unified inference API for AI image, video, audio, 3D, and LLM generation. Built on its proprietary Sonic Inference Engine, the platform delivers AI models at up to 10× lower cost per generation, with usage-based pricing, no GPUs to provision, and no long-term contracts. To date, Runware has powered more than 20 billion requests for over 1 million developers and 500 million end users worldwide, with 400,000+ models available through a single integration. Runware's customers build production AI applications across e-commerce, media, gaming, and creative workflows.
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