Gemini 4 is almost ready, says new Google DeepMind chief
Sep 24, 2026, 2:04 AM · The Verge

New DeepMind chief Koray Kavukcuoglu says Gemini 4 is in refinement and should ship much earlier than year-end — Google’s bid to end a long flagship drought.
Why it matters
In his first media appearance leading Google’s DeepMind division, Koray Kavukcuoglu told The Information that Gemini 4 is in its refinement stage and that Google aims to launch “much earlier” than the end of 2026.
Google hasn’t shipped a new flagship since the Gemini 3 series in November 2025. In that gap, OpenAI’s GPT-6 and Anthropic’s Mythos models launched and, per The Verge’s framing, outperform Gemini 3 — leaving Google behind on the frontier scoreboard. A promised Gemini 3.5 Pro update Pichai floated for June after I/O never rolled out; Kavukcuoglu said the company “took a little bit of a step back” to push faster Flash models instead.
Leadership context: Demis Hassabis stepped down in August after saying “great progress” was underway on Gemini 4. The new boss is now putting a clock on the release.
From the desk
We’re treating the quote as a pacing signal, not a ship date.
“As soon as possible” plus “early post-training output” because “we see the results and we are excited” is lab-speak for: the base model is good enough to start the public iteration loop. That’s healthier than another year of Flash-only appetizers while rivals redefine the default enterprise model. Kavukcuoglu’s certainty line — “it’s a certainty that we are always gonna be at the frontier” — is confidence theater until a build ships with independent evals.
Useful AI needs Google in the race. Search distribution, Android, Cloud, and DeepMind research are how capable models become everyday tools instead of API boutique products. A long flagship drought doesn’t just bruise prestige; it starves product surfaces that only move when the frontier model moves.
The downside of “fast-paced iterations” after a leadership shakeup is the same calendar war we keep criticizing elsewhere: announce early, refine in public, let safety and quality reviews compress to match the competitive clock. Skipping 3.5 Pro to chase Flash speed may have been right for latency products and wrong for buyers who needed a serious mid-cycle upgrade.
I’m watching for an actual early post-training release window measured in weeks, not vibes — and whether Gemini 4’s first public scores close the GPT-6 / Mythos gap or merely narrow it. “Much earlier than end of year” still leaves a wide runway. Ship the model; then talk frontier certainty.
Context
The Verge’s Jess Weatherbed, Sep 24, 2026, reporting Koray Kavukcuoglu’s Information interview on Gemini 4’s refinement-stage timeline, the post–Hassabis leadership change, and Google’s missed 3.5 Pro beat after prioritizing Flash models.
Who feels it
- Google Cloud and Workspace buyers
- Flagship drought since Nov 2025 leaves procurement plans hanging on whether ‘much earlier than year-end’ means Q4 or sooner.
- Developers on Gemini APIs
- Early post-training drops would restart the iteration cadence Flash models alone couldn’t replace.
- Rival labs
- A Gemini 4 surge into the GPT-6 / Mythos gap resets same-quarter benchmark warfare.
- Google investors and talent
- New DeepMind leadership is staking credibility on ending the release stall Hassabis exited on.
What to watch
- Concrete Gemini 4 release week or preview access — not just ‘as soon as possible.’
- Independent comparisons versus GPT-6 and Mythos on coding, factuality, and agent tasks.
- Whether an early post-training output arrives before a full GA flagship.
- Any revival or formal burial of the never-shipped Gemini 3.5 Pro promise.
Companies: Google