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Gemini — AI news & analysis
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Every Pick Right story tagged gemini — 17 articles, newest first. All news →
Google retired two Gemini Flash models by rerouting them, not by failing them
Google's Gemini API changelog for 8 October 2026 deprecated gemini-3.5-flash and gemini-3.7-flash, and said every request to both is automatically routed to a different model. Both IDs are gone from the models page and the pricing page, and the deprecations page rows that cover them carry no date for when any of it happened. The bill does not change; what changes is that pinning a Gemini model ID no longer pins a model.
Read story →Google is paywalling a Gemini model its own Flash overtook in May — and charging $4.99 subscribers nothing for the privilege of losing it
From 9 October 2026 the free Gemini app drops to Flash-Lite only, and Google AI Plus subscribers lose the Pro model on a date Google will email them individually rather than publish. The Pro model in question is Gemini 3.1 Pro, which Google's own Gemini 3.5 Flash passed on benchmarks at I/O in May. The headline downgrade costs paying subscribers almost nothing. The free-tier cut is the one that matters, because it removes the only way to evaluate Gemini without a card.
Read story →Google gave the AI avatar a face and didn't give it a price — that's the part to plan for
Gemini 3.8 Live with Live Avatar went generally available in Gemini Enterprise on 24 September 2026, adding real-time lip-synced video to Google's speech-to-speech stack across 97 languages with US and EU endpoints. The audio still bills at $3/$12 per million tokens — about $0.011 a conversational minute. The video bills at nothing, because Google has not published a rate for it. HeyGen charges $0.10–$0.20 a minute for the same pixels. An unpriced line item on a GA enterprise product is a forward liability, not a discount.
Read story →Google's new voice models undercut everyone — but the headline feature is unavailable in the EU, and the price doubles on 1 January
Google shipped Gemini 3.8 Flash TTS and Flash-Lite TTS on 23 September 2026 at $9 and $6 per million audio tokens, roughly a third of ElevenLabs. Both rates double on 1 January 2027, the same date the rest of the Flash line resets. Voice replication, the feature the launch leads with, is blocked in the EEA, the UK, Switzerland, Illinois, Texas and India. And Google's #1 claim is measured on a benchmark built by a company whose founder now works at Google DeepMind.
Read story →Gemini 3.8 Flash is Google's fourth Flash model in under four months — and every one of them doubles in price on the same day
Google shipped Gemini 3.8 Flash on 2 September 2026 at an introductory $0.75/$3.75 per million tokens. That is the identical price, with the identical expiry, that 3.7 Flash launched with three weeks earlier. The discount does not follow the model — it follows the calendar. On 1 January 2027 every Gemini Flash rate doubles at once, which means upgrading to the newest Flash buys you exactly zero additional runway. Here is the arithmetic and what to budget.
Read story →The Pentagon built the multi-model deployment everyone talks about — by removing the vendor that said no
On 31 August 2026 the Department of War put OpenAI's ChatGPT Mil and Starshield AI's Grok for Government live on GenAI.mil alongside Gemini, at IL5, for 1.7 million of its 3 million personnel. The stated goal is to prevent 'AI vendor lock.' Claude is still absent, four days after a federal judge called the Pentagon's action against Anthropic illegal and baseless. Model portability is sold to buyers as insurance. This is what it looks like as leverage.
Read story →Google's new transcription model didn't reset the speech-to-text price floor — it finally brought Google down to it
Gemini 3.5 Transcribe entered public preview on 26 August 2026 at roughly $0.30 per audio-hour with diarization included, claiming 2.6% WER. The headline reads like a price war. The rate card says otherwise: Deepgram and AssemblyAI have been at or below that number for years. What actually got repriced by ~64% is Google's own Cloud Speech-to-Text. Here is the real comparison, the billing-model catch nobody is mentioning, and the session limits that decide whether you can use it at all.
Read story →Google shipped Gemini 3.7 Flash — a cheaper, faster coding workhorse — while the flagship it actually promised is still missing
On 13 August 2026 Google launched Gemini 3.7 Flash, its third Flash model in seven weeks, with big coding gains (DeepSWE 49%→65.3%) and an introductory price of $0.75/$3.75 per million tokens — half of 3.6 Flash. It is a genuinely strong mid-tier coding-agent model and a clear price-war move. It is also, conspicuously, not the Gemini 3.5 Pro flagship Google promised in May and has now failed to ship for three months, in the middle of a leadership reshuffle. Here is what 3.7 Flash actually delivers, what it costs after the intro window, and why the model Google keeps shipping is not the one that matters most.
Read story →Google's ATLAS report: AI reaches 68% of jobs but fully automates under 10% of tasks — the data says collaborator, not replacer
Google published its first AI & Economy ATLAS report on July 23 — an analysis of 15 million de-identified Gemini interactions across 150 countries, 800 occupations, and 4,000 tasks. The headline: AI now touches 68% of occupations (about 90% of US employment), but fully automates under 10% of tasks. People use it mostly to collaborate — research, draft, iterate, troubleshoot, learn — not to hand off whole jobs. And higher earners use it more. Here's what the data actually shows, what it doesn't, and what it means for your work.
Read story →Google ships Gemini 3.6 Flash (plus a cyber variant) while its flagship stays MIA — and the stopgap is genuinely good
With Gemini 3.5 Pro still stuck after three missed deadlines, Google shipped three Flash-tier models on July 21: Gemini 3.6 Flash ($1.50/$7.50, ~17% fewer output tokens and a March 2026 knowledge cutoff), the cheaper Gemini 3.5 Flash-Lite ($0.30/$2.50), and a government-gated Gemini 3.5 Flash Cyber. It also teased Gemini 4. This is the stopgap the delay reporting predicted — and it's competitive. Here's what actually shipped, how it prices against rivals, and why the cyber variant matters.
Read story →Google's 'Frozen v2' would etch Gemini's architecture into silicon — a 6–10× efficiency bet that model design has stopped moving
Google is reportedly developing an AI inference chip codenamed Frozen v2 that hardwires Gemini's architecture — the blueprint, not the weights — directly into silicon. Engineers project 6 to 10 times more tokens per watt than Google's latest TPUs, with deployment targeted for 2028. Alphabet stock moved on the report. Here's what's reported versus confirmed, why the design is a bet that model architecture has stopped changing, and what it actually means for what you'll pay for inference.
Read story →Gemini 3.5 Pro misses a third deadline: Google scrapped the base model, and a stopgap Flash may ship first
Gemini 3.5 Pro has now missed three launch targets — June, early July, and July 17. Per reporting, Google DeepMind scrapped a nearly-finished base model and restarted pretraining after the rebuild fell short on coding, hallucinated too often, and broke down on recursive tool-calling and complex SVG generation. Registrations for a stopgap Flash model suggest Google needs something to ship. Google still hasn't confirmed a date, price, or spec. Here's what's confirmed versus reported, and what to do if you were waiting.
Read story →Google DeepMind's rough stretch: four senior researchers gone in a week — three to Anthropic — as Gemini 3.5 Pro slips to July
In roughly six days, Google DeepMind lost four senior AI researchers — Nobel laureate John Jumper, Jonas Adler, Alexander Pritzel, and Arthur Conmy — three of them to Anthropic, plus Gemini co-lead Noam Shazeer to OpenAI a week earlier. At the same time, Gemini 3.5 Pro's long-promised June launch has reportedly slipped to July (per Business Insider and Reuters; Google hasn't officially confirmed). Together they raise real questions about Google's frontier-AI execution — but DeepMind is vast and Gemini is still the clear #2. Here's the honest read for anyone deciding whether to bet on Gemini.
Read story →Apple picks Gemini over OpenAI — Siri AI runs on a custom 1.2T-parameter Google model at ~$1B/year, in Tim Cook's final WWDC keynote
At WWDC 2026 on June 8 — Tim Cook's final keynote as CEO before John Ternus takes over September 1 — Apple officially confirmed that Siri AI runs on a custom Google Gemini model (~1.2T parameters per Bloomberg + MacRumors reporting, ~$1B/year). Apple Intelligence combines on-device processing with Private Cloud Compute server-side execution. Standalone Siri app, 'Search or Ask' gesture, Dynamic Island integration on iPhone 16+, and 'Extensions' that let users pick Claude, Gemini, or other chatbots for Siri queries in iOS 27 / iPadOS 27 / macOS 27 'Golden Gate'.
Read story →Google I/O 2026 recap — Gemini 3.5 Flash ships; Omni, Spark, and a $100 AI Ultra tier
Google I/O 2026 keynote (May 19) shipped Gemini 3.5 Flash to production, previewed Gemini 3.5 Pro for next month, launched the Gemini Omni video model (image + audio + video + text input → editable video output), introduced the Gemini Spark personal agent, restructured Google AI Ultra to $100/month (with the old $250 tier dropping to $200), and confirmed Android XR audio glasses for fall 2026. Here's the verified recap for Pick Right readers.
Read story →The Android Show before I/O — Googlebooks, Aluminium OS, Gemini Intelligence across every form factor
The Android Show I/O 2026 edition (May 18, 2026, the day before the main keynote) confirmed Googlebooks (Android-based laptops from Acer/Asus/Dell/HP/Lenovo launching fall 2026), Aluminium OS as the unified ChromeOS+Android platform, Gemini Intelligence rolling out across Android/Wear/Auto/XR starting summer 2026, Android 17 features (Rambler speech-to-text, 3D Emoji, Pause Point, iOS-to-Android transfer), and Gemini for Chrome on Android via Gemini 3.1. Here's the substantive read for Pick Right readers tracking AI tool ecosystems.
Read story →Google I/O 2026 preview — Gemini Omni video model surfaces in a UI leak; what to actually watch tomorrow
Google I/O 2026 keynote lands May 19 at 10am PT. A model-card UI string for 'Gemini Omni' surfaced via Reddit on May 11, confirming a new video-generation model is in late-stage staging — strong on remixing, in-chat editing, and template-based creation, behind ByteDance's Seedance 2 on raw generation fidelity. Here's what to watch beyond the headline: Gemini integration depth across Android, Workspace, and the agent layer, plus the strategic context for Veo, Runway, and Kling.
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