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●FLASH35 — Gemini 3.5 Flash is now GA and powers gemini-flash-latest, making everyday generation faster and more affordable●AGENTS — Managed Agents launch in public preview in the Gemini API, running in secure, isolated Google-hosted Linux sandboxes●MEDIA — Nano Banana 2 Lite and Gemini Omni Flash bring faster image and high-quality video generation across AI Studio and the API●TTS — Streaming speech generation is now supported for gemini-3.1-flash-tts-preview via streamGenerateContent●TRANSLATE — A new audio model detects 70+ languages for live speech-to-speech translation while preserving natural intonation●SPENDCAP — Project-level spend caps for billing have been added in Google AI Studio to keep costs under control●FLASH35 — Gemini 3.5 Flash is now GA and powers gemini-flash-latest, making everyday generation faster and more affordable●AGENTS — Managed Agents launch in public preview in the Gemini API, running in secure, isolated Google-hosted Linux sandboxes●MEDIA — Nano Banana 2 Lite and Gemini Omni Flash bring faster image and high-quality video generation across AI Studio and the API●TTS — Streaming speech generation is now supported for gemini-3.1-flash-tts-preview via streamGenerateContent●TRANSLATE — A new audio model detects 70+ languages for live speech-to-speech translation while preserving natural intonation●SPENDCAP — Project-level spend caps for billing have been added in Google AI Studio to keep costs under control
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verification

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◈ Gemini API/2026-07-14Advanced

When Gemini's executed result and its prose disagree on a number — a gate that trusts only code_execution_result

Gemini Code Execution returns the value it actually computed and the sentence describing it as separate parts. Trust the prose and you can inherit a hallucinated number. Here is a verification gate, in working code, that extracts the executed result as the single source of truth and rejects prose that disagrees.

⬡ Gemini Advanced/2026-06-27Advanced

Don't Ingest Gemini Deep Research Reports Blindly — A Citation-Verification Acceptance Gate for MCP-Grounded Research

Now that Deep Research connects to MCP servers and File Search, you can ground research on your own data. This builds an acceptance gate that verifies, before any automated ingest, whether each citation resolves to a trusted source — with an allowlist, a grounding-coverage ratio, and categorized reject reasons, all in working code.