Google DeepMind's new chief speaks: Gemini 4 is in post-training and will land well before year end
Strip the interview down to what is confirmed and only four things remain: Gemini 4 is in an early phase of post-training; Google intends to release an early post-training output as soon as possible; he hopes it ships much earlier than the end of 2026; and engineers are already using Gemini 4 internally to power the coding tool Antigravity. What is not confirmed: a specific date, parameter count, pricing, benchmark scores, and whether the previously announced but never shipped Gemini 3.5 Pro is cancelled or merely delayed.
Start with who is talking, because it determines how much weight the story carries. Koray Kavukcuoglu was Google DeepMind's CTO, and took over day-to-day operations of the division in August 2026 after Demis Hassabis stepped down as CEO, with Hassabis becoming chair of the unit and Alphabet's chief scientist. According to The Decoder's reporting, Kavukcuoglu does not carry the CEO title, and Google is consolidating Gemini development in the Bay Area. His appearance was at The Information's AI Agenda Live Summit, his first public media interview since taking over. So these are not a product manager's teasers, they are the new head's first public statements.
The second thread is what the phrase post-training actually means. It is the stretch of work that turns a base model into a reliably behaving product, and per 9to5Google that includes safety testing and implementing guardrails. In other words, the capability base is settled and what remains is behavioural engineering. That explains his widely quoted line: "Our intention is to, like - as soon as possible - to release an early post-training output because we see the results and we are excited... [to] continue the fast-paced iterations." There is no date in that sentence, only a judgement: the results are good enough to be worth shipping early. 9to5Google adds that internal testing is already using Gemini 4 to power Antigravity, which is a checkable usage rather than a press-line.
The third thread is the gap in the timeline. Google's last flagship was Gemini 3 in November 2025, followed by Gemini 3.1 Pro in February 2026, after which the releases were mostly smaller Flash models, most recently Gemini 3.8 Flash on September 2. In between there was an episode: per 9to5Google and The Decoder, CEO Sundar Pichai announced at the May I/O that Gemini 3.5 Pro would arrive in June, and the model never shipped. The Decoder cites the Financial Times saying the project missed three deadlines. Kavukcuoglu's framing is that Google took "a little bit of a step back" to maximise the speed of learning at the time, and he did not say whether Gemini 3.5 Pro has been formally cancelled.
The fourth thread is competitive position. Google's lag is not a feeling but has concrete reference points: Anthropic updated its Mythos/Fable family this month and shipped Opus 5.5, while OpenAI has been rolling out GPT-6 models since early September. Asked whether he worries Google has fallen behind, Kavukcuoglu said he has "the utmost trust in the team," that he is "a hundred percent confident," and that "in my mind, it's a certainty that we are always gonna be at the frontier." He also raised an angle that is easy to miss: the model work feeds Google's chip business, since the company began selling TPUs directly to customers this year, and new models show hardware engineers how to design the next two or three generations of chips.
The fifth thread requires separating facts from third-party analysis. The fact is that Kavukcuoglu said plainly: "The conversation of [whether] we achieved AGI or not is not the right conversation," adding that the right one is "are we able to build intelligent agents that we can trust?" The Decoder's reading is that a lab long defined by the pursuit of artificial general intelligence now treats progress as a product question, turning from a research organisation into Google's Gemini factory. The same piece catalogues the departures: Noam Shazeer joined OpenAI in June, AlphaFold Nobel laureate John Jumper then left for Anthropic, and Jeff Dean founded Discovery Loop with Oriol Vinyals, Quoc Le and Sanjay Ghemawat; it cites Fortune data showing DeepMind's ratio of new hires to departures fell from about 12 to 1 in Q2 2023 to roughly 2 to 1 in Q3 2026. On whether Hassabis' exit was voluntary, The Decoder cites the newsletter Pathfounders and notes Google has not commented. That item is unconfirmed reporting and has to be labelled as such.
🤔 Frequently Asked Questions
When will Gemini 4 be released?
There is no specific date. Kavukcuoglu said he hopes it lands "much earlier" than the end of 2026, and Google has not disclosed a timeline, parameter count, pricing or benchmark scores. Any write-up giving a firm date is not sourced to Google.
What does post-training mean here?
Post-training is the stretch where a base model is refined to behave reliably, and per 9to5Google it includes safety testing and implementing guardrails. Kavukcuoglu's use of the term places Gemini 4 past the capability-base stage, with the remaining bottleneck in behaviour.
Where did Gemini 3.5 Pro go?
Per 9to5Google, the model was announced at the May I/O for a June release and never arrived; The Decoder cites the Financial Times saying the project missed three deadlines. Kavukcuoglu said only that Google "took a little bit of a step back" to focus on the Flash line, and did not say whether it has been formally cancelled.
What is actionable for developers right now?
Only two things are actionable: first, pull model names out of your code into configuration so a Gemini 3 model string is not scattered across dozens of files; second, put Gemini 4 on your evaluation shortlist and plan to run the same prompt set against it once it ships, rather than scrambling to change architecture the day the announcement lands.
🛠️ Recommended Tools
- API TesterWhen a new model lands, the expensive part is not the bill, it is your adaptation speed. Save your current Gemini 3 requests as replayable samples and you can fire them at the new model the day it opens up, seeing within an hour whether the parameter structure or the output format changed, instead of discovering it a week later.
- AI Token CounterTurn "should we switch models" into arithmetic. Take the three task types you run most, measure input and output tokens for each, multiply by your monthly call volume, and you get a billing range for the new model. That estimate decides whether you switch far better than any leaderboard score.
- Text Diff CheckerThe real risk in a version migration hides in output differences. Run the same prompts through both models and diff the results word by word, and you will catch the places where everything looks fine but the structure quietly shifted: field order, date formats, unit conventions. That class of difference tends to blow up in production.
Summary
Google DeepMind head Koray Kavukcuoglu gave his first public media interview since taking over, at The Information's AI Agenda Live Summit, confirming that Gemini 4 is in an early phase of post-training, that Google intends to release an early post-training output as soon as possible, and that he hopes it ships much earlier than the end of 2026, without giving a date. Per 9to5Google, safety testing and guardrails are still underway and engineers are already using Gemini 4 internally to power the coding tool Antigravity. Google's last flagship was Gemini 3 in November 2025, followed by Gemini 3.1 Pro in February 2026 and smaller Flash releases; Gemini 3.5 Pro, announced at the May I/O for a June release, never shipped, and The Decoder cites the Financial Times saying it missed three deadlines, with Kavukcuoglu not saying whether it is formally cancelled. He said Google "took a little bit of a step back" to maximise learning speed, and that "in my mind, it's a certainty that we are always gonna be at the frontier." On AGI, his words were that whether we achieved it "is not the right conversation," and that the right one is whether we can build agents we can trust. The personnel movements in this article (Noam Shazeer, John Jumper, Jeff Dean and others) and the question of whether Hassabis' exit was voluntary come from The Decoder's reporting and citations; on the latter, Google has not commented, making it unconfirmed.
Sources: The Verge: Gemini 4 is almost ready, says new Google DeepMind chief
9to5Google: Google says Gemini 4 release is coming 'as soon as possible'
The Decoder: DeepMind was built to chase AGI, but its new chief just wants Gemini 4 out the door
The Information: Google nears release of flagship Gemini 4 AI model (original interview)