Google DeepMind's Gemini 3 Pro represents a significant advancement in AI's ability to understand and process multimodal data, offering features such as smarter summaries, interpretive insights, and executive-ready outputs that surpass its predecessors like Gemini 2.5. It excels in business operations benchmarks, outperforming models like OpenAI's GPT-5 and Anthropic's Claude 4.5 by providing context-rich, actionable insights ideal for audio workflows, including meetings and calls. Gemini 3 Pro's capabilities are enhanced by AssemblyAI's Speech-to-Text technology, which facilitates the transcription and subsequent analysis of audio data, allowing developers to apply large language models directly to their audio inputs through the LLM Gateway. This integration not only enables comprehensive meeting summaries and insights but also supports practical applications like AI coaching, action item generation, and multilingual conversation analytics, all without requiring changes to existing code.