Traces of Nano Banana 2.5 Flash have been spotted in Google Flow. This article explains what TestingCatalog found, the spicy-mayo tests on Image Arena, how a 2.5 model would fit Google’s Nano Banana line-up, today’s per-image prices, the 2 October shutdown of the original Nano Banana and what creative teams and businesses should do now.
Google released Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS on 23 September 2026 as generally available models in the Gemini API and Google AI Studio. They add voice design from prompts, voice replication from about 30 seconds of audio, line-by-line direction and more than 2,000 voices. This article covers what each model is for, the introductory prices that double on 1 January 2027, the benchmark claims and who ran them, and why voice replication is unavailable in the UK and EEA.
A leaked Gemini API descriptor names an internal Google build called Mathematica (DeepThinkV3) Teamfood Raw Thoughts, with a one-million-token window, an UNSTABLE_EXPERIMENTAL stage and unsummarised reasoning. We decode the identifier field by field, identify the open number-theory problem in the leaked trace, compare it with the public Gemini 3.1 Deep Think, and separate what the screenshots show from what has been read into them.
AIxploria listed Lyria 3.5 at 03:10 UTC on 6 September 2026 with a “new AI tool” badge, a 4.5 rating from four votes and a corner line reading “#2 in Music”. The Music category page gives that second slot to Lyria 3, the predecessor, and does not carry the new model on page one or page two. This is a documents-first read of that listing: the vote count behind the stars, a 39-day gap between Google’s Flow Music release and the card, a claim-by-claim comparison of fifteen statements against Google’s model card, launch post and API price list, and the two claims that decide whether you should build on this model commercially. Ten check out exactly. The one carrying the card’s verdict is not supported by any Google Lyria page.
AIxploria listing pages are how a very large audience meets a new model for the first time, and Gemini 3.8 Flash got one at 03:16 UTC on 3 September 2026, roughly a day after Google shipped the model itself. The card sits at 4.4 out of 5 stars, carries 84 upvotes, and files Google’s newest […]
Google released Gemini Omni 1.1 Flash on 27 August 2026, the production version of its generative video model, and the headline change is output above 720p. The model now accepts resolution values of 360p, 720p, 1080p and 4K, extends an existing clip in ten-second increments to a cumulative forty seconds, and interpolates footage between a start frame and an end frame you supply. It is paid-tier only, billed on output tokens at a rate Google states as 5,792 tokens per second of 720p video — roughly $0.10 per second — with a 360p draft tier at a third of that cost and up to 60% faster. This breakdown covers exactly what shipped, why the 1080p and 4K figures are documented as upscales rather than native renders, how the token billing compares against Veo 3.1, which surfaces the model is live on today, and the limitations list that blocks editing uploaded video for users in the UK, the EEA and Switzerland.
Gemini 3.5 Transcribe is now listed on AIxploria, the AI tools directory that catalogues thousands of AI sites across more than fifty categories. The new card files Google’s speech-to-text model under Transcriber, where it already sits at number eight, prices it “Freemium”, rates it 4.5 out of 5 and stamps it with a Verified Tool […]
Gemini 3.1 Pro remains Google’s flagship AI model in August 2026, six months after its February preview launch. This complete guide covers its 1M-token context window, benchmark scores, API pricing and every access route. It also explains how the flagship compares with the fast-moving Gemini Flash line and the still-delayed Gemini 3.5 Pro.
LLM API pricing in August 2026 spans a 640-fold gap between the cheapest and dearest flagship output token. This guide compares OpenAI, Anthropic, Google, Mistral, DeepSeek, Qwen and xAI rates side by side. It then shows how caching, batch and off-peak discounts cut real bills by 50–98%.
A practical explainer on Gemini 3.1 Flash TTS, including what it is, how it fits into Google’s audio stack, what it does well, and where its current limits still matter.
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