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On this page

  • TL;DR: Gemini 4 status
  • What Kavukcuoglu actually said
  • Why Gemini 3.5 Pro vanished
  • Release timeline: Gemini flagship cadence (2025–2026)
  • What “post-training” means for Gemini 4
  • Leadership transition: Hassabis stepping back, Kavukcuoglu forward
  • Flash-first strategy: why Google skipped 3.5 Pro
  • Developer migration checklist (before GA)
  • Antigravity as early signal
  • Benchmark hygiene when Gemini 4 drops
  • Competitive table for builders
  • What this means for what you build or pay
  • What people are asking
  • Related on explainx.ai
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Google DeepMind Fast-Tracks Gemini 4 After Skipping Gemini 3.5 Pro

Google DeepMind, Gemini, AI Models, Gemini 4, Google AI

DeepMind chief Koray Kavukcuoglu says Gemini 4 is in post-training and Google wants an early release as soon as possible, much sooner than year-end.

Sep 25, 2026·9 min read·Yash Thakker
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Google DeepMind Fast-Tracks Gemini 4 After Skipping Gemini 3.5 Pro

Google is trying to skip a generation in public and land Gemini 4 while rivals already ship GPT-6 and Claude Mythos tiers. On September 24, 2026, new DeepMind chief Koray Kavukcuoglu told The Information that Gemini 4 is in post-training and that Google wants to release an early build as soon as possible — much earlier than end of 2026, though without a calendar date.

For builders on Vertex, AI Studio, or Antigravity, this is the first on-record confirmation that Google's answer to a missing Gemini 3.5 Pro is jump straight to 4.

That strategy only works if post-training closes the gap OpenAI and Anthropic opened in September 2026. Google’s Flash lines stay competitive on cost and latency; the flagship story is what enterprise bake-offs still score. Kavukcuoglu’s “as soon as possible” line is Google signaling it will not cede another holiday season without a top-tier answer.

TL;DR: Gemini 4 status

table · 2 cols
QuestionAnswer
StagePost-training (safety, guardrails, behavior refinement)
Internal usePowers Antigravity trials (per Kavukcuoglu)
Public dateNot announced; faster than end of 2026 is the hint
Skipped releaseGemini 3.5 Pro (teased, not broadly shipped)
Last flagshipGemini 3 Pro, November 2025
RivalsGPT-6 Astra, Claude Mythos / Fable 5.1 (September 2026)
Leadership contextDemis Hassabis stepped back; Brin hands-on on Gemini 4 per prior reporting

What Kavukcuoglu actually said

Coverage from The Verge, 9to5Google, and Times of India quotes the same core 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.

He added Google hopes the model arrives much earlier than the end of 2026. That is executive optimism, not a schedule — but it is stronger language than Google's July 2026 blog post that merely said Gemini 4 pre-training had started (Gemini 3.6 Flash launch recap).

Post-training is where safety evals, instruction tuning, and product guardrails land. Kavukcuoglu noted internal testing already uses Gemini 4 inside Antigravity, Google's agentic coding surface — a hint that developer tooling may lead consumer marketing again.

Why Gemini 3.5 Pro vanished

Google CEO Sundar Pichai promised a major Gemini 3.5 Pro update around I/O 2026; it never reached general availability. Kavukcuoglu framed the pivot as focusing on Flash iterations (recently Gemini 3.8 Flash and cyber-tuned variants) instead of shipping a Pro tier that could not win headlines.

Community and press speculation — that 3.5 Pro lost internal bake-offs to OpenAI and Anthropic — aligns with explainx.ai's earlier Gemini 3.5 Pro benchmark leak coverage, still unverified but directionally consistent.

Skipping 3.5 Pro is rational if 4's post-training curves look better on Frozen v2 / TPU infrastructure (pre-training chip story, Sergey Brin return). It is risky if enterprises waited on a Pro upgrade that never came — they may have already switched APIs.

Release timeline: Gemini flagship cadence (2025–2026)

table · 3 cols
MilestoneApprox. dateNotes
Gemini 3 Pro GANovember 2025Last widely shipped Google flagship
I/O 2026 teaseMid-2026Gemini 3.5 Pro promised, not broadly GA
July 2026Gemini 3.6 / 3.8 Flash, cyber variantsVolume and speed tier wins
July 2026 blogGemini 4 pre-training startedFlash launch recap
Sept 2026 rivalsGPT-6 Astra, Claude Mythos / Fable 5.1Enterprise eval churn
Sept 24 2026 summitKavukcuoglu: Gemini 4 in post-training, ASAP shipNo calendar date
Next likely beatsAI Studio preview, Antigravity internal → limited APIHistorical Google pattern

Aggregator sites may float October 2026 dates; Google did not confirm them on stage. Plan internally for Q4 2026–Q1 2027 early access with wide error bars.

What “post-training” means for Gemini 4

Kavukcuoglu used post-training in the Google workflow sense: everything after base pre-training that turns raw capability into a shippable product.

table · 3 cols
PhaseTypical workBuilder-visible output
Instruction / RLHF-style tuningFollow system prompts, tool formatsStable chat and function calling
Safety classifiers and policiesRefusals, category blocksPolicy changes week to week in previews
Red team and eval gatesInternal + possible external suitesDelay or scope cuts before GA
Product integrationSearch, Workspace, AntigravityFeature-specific behavior
Infra bakeLatency, batching on TPU / GPUVertex pricing and quotas

“Fast-track” in headlines means calendar compression between phases, not skipping them entirely — though external auditors may still lag industry SAFA-style standards.

Leadership transition: Hassabis stepping back, Kavukcuoglu forward

Demis Hassabis remains a public face for Google DeepMind science; Kavukcuoglu’s September 24 stage time marks operational ownership of getting Gemini 4 out. Prior explainx.ai coverage on Hassabis’s frontier AI framework essay still describes how Google talks about safety; Kavukcuoglu’s quotes describe when Google ships.

Sergey Brin’s hands-on Gemini 4 push adds a third axis — founder-level attention on quality bars. For developers, the practical read is more internal dogfooding before your keys (Antigravity first), not a consumer marketing date.

Flash-first strategy: why Google skipped 3.5 Pro

Google shipped multiple Flash iterations while 3.5 Pro stalled. That split strategy has clear tradeoffs:

table · 3 cols
StrategyWinsCosts
Flash-firstCheap tokens, low latency, context caching winsLoses flagship benchmark headlines
Ship 3.5 Pro anywayNarrative parity with rivalsRisk shipping a tier that loses bake-offs
Jump to Gemini 4One flagship story, cleaner SKU lineLonger gap since Gemini 3 Pro
Antigravity dogfoodReal agent trajectories before GAPreview instability

If your app is cost-bound, staying on Gemini 3.8 Flash through Q4 2026 is rational. If you sell “best model” marketing, you need a Gemini 4 eval branch ready day one.

Developer migration checklist (before GA)

  1. Pin eval suite: 30–50 production-critical prompts + tool traces; store baseline scores on current Gemini 3.x.
  2. AI Studio watch: Enable notifications for AI Studio preview docs — Google often documents breaking changes only there first.
  3. Vertex quotas: Pre-request quota bumps for a parallel Gemini 4 canary project; launch-week throttling is common.
  4. Tool schema audit: Revalidate function calling and JSON modes; post-training tweaks break strict parsers.
  5. Multimodal paths: If you use image or audio, rerun those subsets — flagship upgrades sometimes regress secondary modalities temporarily.
  6. Policy overlay: US-first access politics may affect who receives keys first even after post-training completes.
  7. Compare rivals same day: Run identical harness against GPT-6 pricing context and Claude 5.1 benchmarks — do not migrate on Google blog claims alone.

Antigravity as early signal

Kavukcuoglu said Gemini 4 already powers Antigravity internal trials — Google’s agentic coding surface. Historically, Google exposes developer-facing models after internal agent products stress-test tool use.

If you maintain a coding agent, track Google CC Family Agent Labs and Antigravity release notes as leading indicators for API stability, not as guarantees of GA parity.

Benchmark hygiene when Gemini 4 drops

Use explainx.ai’s how to read AI benchmarks guide: public leaderboard jumps rarely match your RAG + tools stack. When Gemini 4 preview APIs appear, publish internally:

  • Median latency at your context lengths
  • Tool success rate on your MCP or function definitions
  • Cost per successful task (tokens + retries)

World models and Odyssey sit on a different product axis — do not conflate Gemini 4 chat/agent GA with generative world-model releases.

Competitive table for builders

table · 3 cols
Model lineStatus (late Sept 2026)Typical builder use
GPT-6 AstraShipped; Pro tier strainedAgents, coding, reasoning
Claude Mythos / Fable 5.1Shipped; policy gatesCoding, enterprise, long context
Gemini 3.x FlashShipped, cheap/fastHigh-volume, latency-sensitive
Gemini 4Post-training, no GAWait for eval rerun
Grok 4.xRapid iterationAlternative frontier tests

When Gemini 4 GA drops, rerun your harness — not LMArena screenshots. Compare against GPT-6 pricing context and Claude 5.1 launch benchmarks.

What this means for what you build or pay

Do not freeze on rumors. October 2026 dates circulating on aggregator sites are unconfirmed. Ship with Gemini 3.8 Flash or stable 3 Pro where they clear your evals today.

Prepare a same-day eval playbook. Pin 30–50 production prompts, agent trajectories, and RAG queries now. When Google drops an early post-training API, run the suite within 24 hours — early builds change weekly.

Watch Antigravity and AI Studio. Google often exposes models to developers before consumer apps. Follow Gemini API docs in AI Studio preview patterns from prior releases.

Policy overlay: US-first testing politics may delay who gets keys first even when post-training finishes (White House access story).

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What people are asking

Is Gemini 4 trained on Frozen v2 yet?

Pre-training started on existing infrastructure; Frozen v2 is the efficiency bet for inference-scale deployment. Google has not tied Kavukcuoglu's comments to a specific chip generation in the summit quotes we reviewed.

Will Google ship Gemini 3.5 Pro after 4?

Kavukcuoglu did not revive 3.5 Pro. Treat it as shelved unless Google explicitly undeads it — betting on 4 is Google's public strategy.

Does fast-track mean unsafe?

Post-training explicitly includes safety testing in Google's description. Fast-track means product calendar, not skipping eval — though external auditors may still lag SAFA-style standards (private safety body plans).

Related on explainx.ai

  • Sergey Brin hands-on Gemini 4 push
  • Google DeepMind Nano Banana 2.5 image model
  • Gemini context caching for agent harnesses
  • Google CC Family Agent Labs
  • World models guide — Odyssey contrast
  • How to read AI benchmarks

Quotes and stage descriptions reflect The Information AI Agenda Live Summit coverage September 24, 2026. Google may change release plans without notice.

Spotted something out of date? Let us know.
Yash Thakker

Written by

Yash Thakker

Yash is an AI expert with over 300K learners. Join his workshops →

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