Google DeepMind is targeting a Gemini 4 launch before the end of 2026, and possibly well before. Speaking at The Information’s AI Agenda Live Summit, DeepMind chief Koray Kavukcuoglu said the flagship model has entered the early phase of post-training and that he hopes to ship it "much earlier" than year end. No date, pricing, or capability claims have been published.
What does early post-training actually mean?
In plain terms, the expensive part is done. Pre-training is where a model learns from the bulk of its data, and it is the longest and most compute-heavy stage. Post-training is the shaping phase: fine-tuning, reinforcement learning, safety work, and tuning how the model behaves in conversation and tool use.
Saying a model is in early post-training is a real signal that it exists and works, not that it is weeks away. Post-training can run for months, and it is also where most of the safety evaluation happens. The honest read is that Gemini 4 is real and progressing, and that "much earlier than year end" is an aspiration from an executive, not a committed ship date.
Why the timing pressure is obvious
September has been relentless. OpenAI shipped GPT-6 Astra on September 3, then GPT-6 Sol and Luna on September 22 at half the previous price. Anthropic shipped Claude Opus 5.5 the same day, 90 minutes earlier. DeepSeek shipped V4.1 Flash on September 10 with open MIT-licensed weights and cached input at three tenths of a cent per million tokens.
Google’s most recent releases have been in the Gemini 3.x line, including 3.8 Flash and the restricted-access 3.8 Flash Cyber covered in our report on the Fairwind Program. Competitive against mid-tier models, but not a new flagship generation while two rivals shipped one in the same month.
Who is Kavukcuoglu, and why does his word carry weight?
He has run DeepMind’s daily operations since the August 2026 reorganisation in which Demis Hassabis stepped back to become chairman and Alphabet chief scientist, covered in our report on the leadership reshuffle. Kavukcuoglu was DeepMind’s CTO and Google’s chief AI architect for 13 years before that, and reporting at the time indicated he had already been shaping Gemini’s direction for roughly a year. Gemini 4 is the first flagship generation fully under his operational control, which makes its reception a referendum on that change.
What to watch for
Whether Google leads with capability or price. Both of its main rivals just competed on cost per task rather than raw benchmark scores, and Anthropic paired a stronger model with a 40 percent cost reduction. A Gemini 4 that only wins on benchmarks, without a matching efficiency story, would be answering last year’s question. Also worth watching: whether it ships with the kind of restricted-access safeguards Google applied to Flash Cyber, given how the September governance debate has developed.
Reported by The Information from its AI Agenda Live Summit.
