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Gemini 3 Deep Think

Google · v3 · deep think · 2× · tolest 19. Juli 2026

Momentum

Gemini 3 Deep Think is a specialized Reasoning mode from Google DeepMind built on Gemini 3.1 Pro and designed for particularly complex problems in science, research, and engineering. The update released in February 2026 achieved new record scores on Benchmarks like Humanity's Last Exam, ARC-AGI-2, and Codeforces and is described as a "System 2" thinking mode with high computational demands. Access is currently provided primarily through the Google AI Ultra subscription in the Gemini app; API access is offered via an Early-Access program for selected researchers and companies.

Momentum-Verloop

20.07.18.10.

Features

Key Benchmark (%)	84.6% on ARC-AGI-2 (verified by ARC Prize Foundation); 48.4% on Humanity's Last Exam without tools
Context Window (Tokens)	Built on Gemini 3.1 Pro with a 1,000,000 token context window
License	Proprietary, not an open model; usage only via Google AI Ultra subscription (from $99.99/month) or API early access
Multimodality	Multimodal understanding (text, image); can analyze sketches and convert them into 3D-printable files
Platform	Gemini app (for Google AI Ultra subscribers); early-access program for the Gemini API for researchers, engineers and enterprises
Price per 1M Tokens	No public API price; access currently via Google AI Ultra subscription (from $99.99/month) or free API early-access program
Release Date	February 12, 2026 (major update); initial preview announced with Gemini 3 on November 18, 2025

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Belege (2)

Company Analysis: Google

As of 11/10/2026

HOLDSynthszr Vote

Hold is warranted on a data-driven basis because (1) operating performance is strong (Q2 2026 revenue +24% YoY; operating margin 34%) and Cloud is accelerating materially (management cited 82% YoY), supporting earnings durability; but (2) the investment cycle has intensified (FY2026 capex raised to $195B–$205B), increasing uncertainty around near-term free cash flow and valuation support; and (3) regulatory remedies/fines remain active in both the U.S. and EU, sustaining headline and compliance risk. Net: fundamentals justify continued exposure, while capex and regulatory visibility argue for waiting for clearer cash conversion and remedy implementation details before upgrading to BUY. (sec.gov)

Summary

Alphabet (Google) is a diversified digital platform company whose core profit engine remains advertising (Google Search, YouTube, and Network), complemented by a rapidly scaling cloud infrastructure and software platform (Google Cloud) and a portfolio of “Other Bets.” Its core competencies are (1) global-scale consumer distribution (Search/Android/Chrome/YouTube), (2) data-driven ad targeting and measurement, and (3) hyperscale compute plus proprietary AI stack (TPUs, models, and developer tooling) that increasingly monetizes through Cloud and enterprise AI products. Market position remains top-tier in global search and video advertising, with durable advantages from default distribution, product integration, and advertiser ROI. In the last ~90 days, the most material developments have been: (a) a strong Q2 2026 print with consolidated revenue up 24% YoY to $119.8B and operating margin expanding to 34%; (b) a sharp acceleration in Google Cloud (management cited 82% YoY growth) driven by AI infrastructure and AI solutions demand; and (c) a notable upward revision to FY2026 capital expenditure guidance to $195B–$205B (from $180B–$190B), which has become a key near-term valuation and cash-flow debate. Alphabet also disclosed June 2026 financing (net proceeds $49.6B) intended for general corporate purposes including scaling AI infrastructure. (sec.gov) Regulatory overhang remains meaningful. In the U.S., DOJ communications in September 2026 highlighted “substantial relief” in the ad-tech remedies process, while press coverage indicates behavioral changes were ordered rather than a breakup. In Europe, reporting in late July 2026 referenced a new antitrust fine around €890M–€1B, reinforcing ongoing compliance and monetization risk. (justice.gov) Valuation and key metrics (EUR framing): as of Oct 10, 2026, GOOGL last traded at $351.66; using the ECB reference rate (USD per EUR 1.1206 on Oct 9, 2026), that implies ~€313.81 per share. The stock’s trailing P/E is ~17.7x per the market data snapshot. Profitability remains strong (Q2 operating margin 34%), but the near-term outlook is dominated by AI capex intensity and the pace at which Cloud/AI monetization offsets depreciation and operating cost growth. Base-case outlook (short-to-medium term): revenue momentum and Cloud profitability are supportive, while free-cash-flow volatility and regulatory remedies are the principal constraints on multiple expansion. (ecb.europa.eu)

Key Takeaways

AI-driven growth is now the central narrative: Q2 2026 revenue rose 24% YoY to $119.8B, with operating margin expanding to 34%, indicating continued operating leverage despite higher AI costs. (sec.gov)
Google Cloud is the key incremental growth engine: management cited 82% YoY Cloud revenue growth in Q2 2026, and third-party analysis highlighted strong Cloud operating profitability (margin expansion) even as overall capex rises. (sec.gov)
Capital intensity is the near-term swing factor: FY2026 capex guidance was raised to $195B–$205B, a material step-up that can pressure free cash flow and investor sentiment even with strong revenue growth. (sec.gov)
Regulatory outcomes remain a material risk: DOJ updates in September 2026 and related coverage indicate meaningful ad-tech remedies (behavioral changes), while Europe continues to levy large antitrust penalties. (justice.gov)
Valuation is not demanding versus mega-cap peers on headline earnings: the market snapshot shows ~17.7x trailing P/E at ~$351.66 (≈€313.81 using ECB FX), but the multiple is increasingly a function of capex-to-cash-flow conversion and regulatory constraints. (ecb.europa.eu)

Action Ideas

BUY

12–24 month accumulation thesis: Q2 2026 results show strong top-line momentum (24% YoY) and improved operating margin (34%), while Cloud is scaling rapidly (management cited 82% YoY). If Cloud profitability continues to expand and AI productization sustains demand, earnings power can compound even through elevated investment. This action is appropriate for investors who can tolerate near-term cash-flow volatility tied to accelerated infrastructure buildout. ([sec.gov](https://www.sec.gov/Archives/edgar/data/1652044/000165204426000066/googexhibit991q22026.htm?utm_source=openai))

Horizon: 18 mo.

HOLD

6–12 month risk-managed stance: Maintain exposure while waiting for clearer evidence that the higher capex run-rate is translating into sustained Cloud/AI revenue and stable cash generation. Q2 2026 fundamentals are strong, but the market’s sensitivity to capex guidance suggests near-term returns may be driven by incremental updates on spending, capacity delivery, and regulatory clarity rather than by quarterly beats alone. ([spglobal.com](https://www.spglobal.com/market-intelligence/en/news-insights/research/2026/07/alphabet-postq-ai-growth-accelerates-as-spending-weighs-on-cash-flow?utm_source=openai))

Horizon: 9 mo.

SELL

3–6 month de-risking thesis for valuation/cash-flow focused investors: If your mandate prioritizes near-term free cash flow yield and low regulatory uncertainty, Alphabet’s current phase (capex step-up to $195B–$205B plus active remedies/fines) may not fit. The stock’s headline P/E (~17.7x trailing) can look inexpensive, but the near-term driver is cash conversion under heavy AI infrastructure spend and potential remedy-related constraints in ad-tech. ([spglobal.com](https://www.spglobal.com/market-intelligence/en/news-insights/research/2026/07/alphabet-postq-ai-growth-accelerates-as-spending-weighs-on-cash-flow?utm_source=openai))

Horizon: 6 mo.

Contrarian Insights

• Capex as a competitive moat rather than a margin problem: the market reaction has focused on near-term cash-flow pressure from the $195B–$205B capex plan, but the same guidance can be interpreted as evidence of demand exceeding supply (especially in Cloud/AI infrastructure). Under this view, the spending is a capacity-enablement decision that may protect long-run share and pricing power in AI infrastructure/services. (spglobal.com)
• Regulatory outcomes may be less structurally damaging than feared (near term): recent U.S. ad-tech remedies coverage indicates behavioral changes rather than a forced breakup, which could reduce the probability of immediate structural separation. This does not remove risk, but it may lower the tail-risk premium embedded in sentiment versus more severe scenarios. (apnews.com)