- Google推出Gemini 3.1 Flash Live,是其迄今为止最高质量的音频与语音模型,专注于提升实时对话的自然度和可靠性。该模型具备更强的推理与任务执行能力,在ComplexFuncBench Audio基准测试中以90.8%的准确率领先,优于前代模型。在Scale AI的Audio MultiChallenge测试中,开启“思考”模式后得分达36.1%,表现突出,尤其在复杂指令理解和长程推理方面。模型还增强了语调理解能力,能更准确识别音高、语速等声学细节,并动态响应用户情绪如困惑或沮丧。该模型已集成至Google多款产品中,包括通过Gemini Live API向开发者提供预览版,在Gemini Enterprise for Customer Experience中服务企业客户,并通过Search Live和Gemini Live向大众开放。
音频AI自然度显著提升
复杂任务处理能力强
支持多场景实时对话
已在Google多平台部署
- Gemini 3.1 Flash Live面向开发者、企业及普通用户提供不同接入方式:开发者可通过Google AI Studio中的Gemini Live API进行预览;企业客户可通过Gemini Enterprise for Customer Experience使用;普通用户则可通过Search Live和Gemini Live体验。该模型特别优化了嘈杂环境下的语音交互能力,支持构建能处理复杂任务的语音优先代理。演示案例显示,用户可通过语音进行代码编写与快速迭代,提升开发效率。此外,模型在真实音频场景中表现更稳定,能有效应对中断与犹豫等现实交互问题。
多用户群体覆盖全面
嘈杂环境语音识别优化
支持语音驱动开发流程
实时交互稳定性增强
- Gemini 3.1 Flash Live在语调理解方面较2.5 Flash Native Audio有明显改进,能更精准捕捉用户语音中的情感与意图变化。该模型在客户服务场景中表现尤为突出,可动态调整回应策略以适应用户情绪状态。企业客户如Verizon和LiveKit已开始采用该技术,用于提升语音交互系统的用户体验。尽管具体应用案例细节有限,但表明该模型正被实际部署于商业环境。其多模态推理能力与低延迟响应为下一代语音AI应用奠定了基础。
情感识别能力增强
企业客户已实际应用
动态响应用户情绪
推动语音AI商业化落地
- Google has introduced Gemini 3.1 Flash Live, its most advanced audio and voice AI model to date, designed to enhance real-time dialogue with improved speed, natural rhythm, and reliability. The model is now available across multiple Google platforms: developers can access it in preview via the Gemini Live API in Google AI Studio, enterprises can use it in Gemini Enterprise for Customer Experience, and general users can interact with it through Search Live and Gemini Live. The update emphasizes voice-first AI applications, aiming to support more intuitive user interactions.
Gemini 3.1 Flash Live demonstrates strong performance on key benchmarks. It scored 90.8% on ComplexFuncBench Audio, outperforming its predecessor in multi-step function calling under constraints. On Scale AI’s Audio MultiChallenge, which evaluates complex instruction following and long-horizon reasoning in realistic audio conditions with interruptions, it achieved a 36.1% score with reasoning enabled. The model also shows improved tonal understanding, better recognizing acoustic cues such as pitch and pace, and adapts responses based on user emotional states like frustration or confusion. These enhancements enable more robust performance in noisy environments and support complex task execution. Companies including Verizon and LiveKit are among early adopters exploring its capabilities.
Key Takeaways:
Gemini 3.1 Flash Live improves real-time audio AI with higher accuracy and natural dialogue.
It excels in complex reasoning and function calling under real-world audio conditions.
Enhanced tonal understanding allows better adaptation to user emotions and speech patterns.
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