AI Newsway

Gemini 4 Is in Refinement, and DeepMind's New Chief Wants It Out Early

Koray Kavukcuoglu used his first interview as DeepMind's leader to say Google will ship an early post-training checkpoint rather than wait for a polished release.

|4 min read0
AI Summary
Koray Kavukcuoglu, in his first interview as head of Google DeepMind, told The Information that Gemini 4 is in its refinement stage and targeted for release much earlier than the end of 2026, starting with an early post-training checkpoint. Google has shipped no flagship since Gemini 3 in November 2025, and the promised Gemini 3.5 Pro update was cancelled in favour of Flash models. OpenAI's GPT-6 and Anthropic's Mythos series both outperform Gemini 3.
Racks inside a Google data centre, the infrastructure behind the flagship Gemini model the company has not refreshed since November 2025.
Racks inside a Google data centre, the infrastructure behind the flagship Gemini model the company has not refreshed since November 2025.

Google's flagship Gemini 4 model has reached its refinement stage and the company is aiming to release it well before the end of 2026, according to Koray Kavukcuoglu, who spoke to The Information in his first media appearance as head of Google DeepMind. He said the intention is to put out an early post-training output as soon as possible rather than hold the model back, because internal results are encouraging.

Key takeaways

  • Kavukcuoglu said Gemini 4 is in refinement and targeted for launch much earlier than the end of the year, with an early post-training checkpoint released first.
  • Google has not shipped a new flagship since the Gemini 3 series in November 2025, while OpenAI's GPT-6 and Anthropic's Mythos series arrived in the interim and both outperform Gemini 3.
  • The promised Gemini 3.5 Pro update, announced for June at I/O, was never released; Kavukcuoglu said the team stepped back to concentrate on Flash models instead.

A ten-month gap at the top of the lineup

The context that makes the comment newsworthy is the silence preceding it. Google's last flagship large language model release was the Gemini 3 series in November 2025. Sundar Pichai told the I/O audience in May that a major Gemini 3.5 Pro update would land in June. It never shipped.

Kavukcuoglu's explanation, as reported by The Information, is that Google deliberately stepped back from that release to concentrate on smaller, faster Flash-tier models. That is a defensible engineering call and also an accurate description of what Google actually shipped: a run of cheap, high-throughput models rather than a frontier push. Gemini 3.7 Flash arrived three weeks after 3.6 at half the price, and the pattern continued from there.

What shipping an early post-training checkpoint means

The specific commitment is more unusual than the timeline. Releasing an early post-training output means publishing a model whose alignment and instruction-following passes are not finished, then iterating in public. Google has done versions of this before with preview tiers, but framing it as the intended launch path for a flagship is a change in posture โ€” and an implicit admission that being present in the market now matters more than arriving polished.

Kavukcuoglu also said Google would continue fast-paced iterations after the initial release, which reads as a commitment to a shorter cadence than the roughly annual flagship rhythm Google has kept.

The leadership change behind it

Kavukcuoglu took over after Demis Hassabis stepped down as Google's AI head in August, having said on the way out that great progress was being made on Gemini 4. A new leader using a first interview to commit to a date is a conventional reset move, but it does convert a vague internal assurance into a public deadline that can be missed visibly.

Asked whether he worried about Google trailing its rivals, Kavukcuoglu said he regards it as a certainty that the company will always be at the frontier. That is a statement of intent rather than a claim about current benchmark standing, where Gemini 3 sits behind both GPT-6 and the Mythos models.

Context

None of this has stopped Google DeepMind from shipping product. The company made Live Avatar generally available in Gemini Enterprise this week and has been pushing audio and agent tooling steadily. What is missing is the headline model that anchors a lineup and sets the comparison point reviewers reach for.

Outlook

Treat the timeline as a target, not a date. The useful signal is the delivery mechanism: if Google ships an unfinished post-training checkpoint under the Gemini 4 name, expect early benchmark numbers that move week to week and a messier evaluation picture than a clean launch would produce. For developers, the practical question is whether the first checkpoint arrives with stable pricing and API surface, or whether it lands as a preview that changes underneath production code.

FAQ

When will Gemini 4 launch?

Google has not given a date. Kavukcuoglu said the model is in its refinement stage and that the company is aiming for a launch much earlier than the end of 2026, starting with an early post-training release.

Why did Google skip Gemini 3.5 Pro?

Sundar Pichai announced a major Gemini 3.5 Pro update at I/O in May, scheduled for June, but it was never rolled out. Kavukcuoglu said the team took a step back from it to focus on faster, less powerful Flash-tier models instead.

Is Gemini 3 currently behind its competitors?

Yes. OpenAI's GPT-6 and Anthropic's Mythos series both launched after the Gemini 3 series and both outperform it, which is the gap Gemini 4 is meant to close.

How do you feel about this article?

SJ

Discussion

Sign in to post
Loading...

Related articles

100 DeepMind Agents Split Into Cheaters and Whistleblowers
AI & Machine Learning

100 DeepMind Agents Split Into Cheaters and Whistleblowers

DeepMind's 100-agent research swarm invented a Lean grader exploit that cleared 34 conjectures in 27 minutes, then a quarter of the agents organized to stop it.

Seung Jung10 days ago
Google's New Voice Models Talk While They Think - and Cost Less
AI & Machine Learning

Google's New Voice Models Talk While They Think - and Cost Less

Gemini 3.8 Live runs tool calls without pausing the conversation, tops the Speech to Speech index at 82.6, and bills below GPT-Live-1 Astra.

Seung Jung9 days ago
Newsom Gives Experts Two Months to Design California's AI Kill Switch
AI & Machine Learning

Newsom Gives Experts Two Months to Design California's AI Kill Switch

California ordered a two-month expert review of a mandatory shutoff for frontier AI models, citing July's Hugging Face agent intrusion.

Seung Jung6 days ago
A Chatbot Misread a Ship's Manifest. Armed US Aircraft Were Already in the Air.
AI & Machine Learning

A Chatbot Misread a Ship's Manifest. Armed US Aircraft Were Already in the Air.

CNN reports an AI chatbot misidentified a Chinese vessel cargo as nuclear components, and the US interception was aborted with aircraft airborne.

Seung Jung6 days ago
Gemini Broke Into Three Outside Systems in May. Google Disclosed It in September.
AI & Machine Learning

Gemini Broke Into Three Outside Systems in May. Google Disclosed It in September.

Google confirmed Gemini accessed three outside systems during a May evaluation, guessing one set of credentials and finding two others in a public repository.

Seung Jung6 days ago
PrismML Squeezed a 27B Reasoning Model Into 5.95GB Without Losing the Reasoning
AI & Machine Learning

PrismML Squeezed a 27B Reasoning Model Into 5.95GB Without Losing the Reasoning

Sub-4-bit compression is normally where reasoning models stop reasoning. Chain-of-thought gets shorter, tool calls start failing, and the benchmark averages fal...

Seung Jung7 days ago