◉GEMINI LABJP
●TTS — gemini-3.1-flash-tts-preview now streams speech generation via streamGenerateContent for lower latency●TRANSLATE — Gemini 3.5 Live Translate arrives, auto-detecting 70+ languages for speech-to-speech while preserving intonation●IMAGE — Nano Banana 2 Lite launches as the fastest and most cost-efficient Gemini image model●OMNI — Gemini Omni Flash enters public preview as a natively multimodal model for custom video workflows●MODEL — Gemini 3.5 Flash reaches GA and now powers gemini-flash-latest●AGENT — Managed Agents enter public preview in the Gemini API, running in isolated Google-hosted Linux sandboxes●TTS — gemini-3.1-flash-tts-preview now streams speech generation via streamGenerateContent for lower latency●TRANSLATE — Gemini 3.5 Live Translate arrives, auto-detecting 70+ languages for speech-to-speech while preserving intonation●IMAGE — Nano Banana 2 Lite launches as the fastest and most cost-efficient Gemini image model●OMNI — Gemini Omni Flash enters public preview as a natively multimodal model for custom video workflows●MODEL — Gemini 3.5 Flash reaches GA and now powers gemini-flash-latest●AGENT — Managed Agents enter public preview in the Gemini API, running in isolated Google-hosted Linux sandboxes
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Gemini Omni Flash

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◈ Gemini API/2026-07-05Advanced

Collapsing Video Understanding into One Native Call with Omni Flash

How I replaced an ffmpeg frame-extraction pipeline (7-9 calls per clip) with a single native Omni Flash call, the measured differences, and the boundaries where keeping frame sampling still wins.