B2B SaaS Provider · vs · Publisher & Medieninhaber

DeepSeek vs Google

Strukturierter Technologie- und Marktvergleich · Stand 2026

Direkte Merkmalsgegenüberstellung

DeepSeek · vs · Google
Kern-Markt / Rolle
DeepSeekB2B SaaS Provider
GooglePublisher & Medieninhaber
Profilfokus
DeepSeek

DeepSeek ist ein führender LLM-Entwickler, der hocheffiziente KI-Modelle über eine performante API und Consumer-Chat-Schnittstellen bereitstellt.

Google

Suchmaschinen-, Video-, AdTech- und Cloud-Gigant innerhalb des Alphabet-Konzerns.

Mitarbeiter
DeepSeek50–200 Mitarbeiter
Google>5,000 Mitarbeiter
Hauptsitz
DeepSeekCN
GoogleUS
Gründung
DeepSeekk. A.
Googlek. A.

Vergleichsanalyse & Key Insights

Was ist der Hauptunterschied zwischen DeepSeek und Google?

Beim Vergleich von DeepSeek und Google agieren beide Plattformen im Bereich Large Language Models (LLM) & AI, In-App & Mobile Media und Chat & Conversational UI. DeepSeek ist positioniert als DeepSeek ist ein führender LLM-Entwickler, der hocheffiziente KI-Modelle über eine performante API und Consumer-Chat-Schnittstellen bereitstellt, während Google den Schwerpunkt auf Suchmaschinen-, Video-, AdTech- und Cloud-Gigant innerhalb des Alphabet-Konzerns legt. Beide Anbieter stellen komplementäre wie auch konkurrierende Kernfähigkeiten für den Markt bereit.

Welche Alternativen gibt es zu DeepSeek und Google?

Bei der Evaluierung von DeepSeek und Google prüfen Enterprise-Entscheider häufig auch weitere Plattformen im Bereich Large Language Models (LLM) & AI, In-App & Mobile Media und Chat & Conversational UI. Die erweiterte Wettbewerbslandschaft und detaillierte Marktprofile findest du direkt auf Polaris7.

Echtzeit-Beobachtung

Aktuelle Marktsignale & News: DeepSeek vs Google

Öffentlich erfasste Marktbewegungen, Partnerschaften, Produkt-Updates und strategische Ankündigungen aus dem Knowledge-Graphen.

DeepSeek

Letzte Aktivitäten

  • ·CNBC TechnologyAI Models

    Anthropic, OpenAI Release Cheaper AI Models

    Anthropic and OpenAI both announced new, more cost-effective AI models on Tuesday, marking their first releases since industry leaders called for a slowdown in advanced AI development. OpenAI introduced GPT-6 Sol and GPT-6 Luna, which offer a 50% price reduction compared to GPT-5.6 promotional pricing. Sol targets complex workloads like coding, while Luna is designed for high-volume tasks such as information extraction and document summarization. Anthropic unveiled Claude Opus 5.5, described as a more token-efficient version costing about 40% less to run than Opus 5. The releases respond to customer demand for cheaper models and increasing competition from open-weight rivals like Alibaba, Moonshot AI, and DeepSeek. This comes amid heightened safety debates following a former Anthropic researcher's resignation and public warnings.

    • OpenAI introduced GPT-6 Sol and GPT-6 Luna with API prices cut by 50%.
    • Anthropic launched Claude Opus 5.5, costing about 40% less to run than Opus 5.
    • Competition from cheaper open-weight models (Alibaba, Moonshot AI, DeepSeek) is cited as a factor.
  • ·The Business EngineerAI Infrastructure

    Open-weight AI models gain production traction

    The article discusses the shift in the AI industry from closed to open-weight models, citing that in August 2026, open models processed 56% of tokens on Vercel's AI Gateway, up from 7% in December 2025, and about 60% of US-originating token consumption on OpenRouter. While closed models still lead at the frontier, open weights are becoming part of production infrastructure. The piece introduces the concept of 'open escape velocity', where open AI develops independent sources of demand and infrastructure, reducing dependence on any single model company. However, the content is largely paywalled, and the full analysis and data are not accessible.

    • Open-weight models processed 56% of all tokens on Vercel's AI Gateway in August 2026, up from 7% in December 2025.
    • OpenRouter reported open models accounting for roughly 60% of US-originating token consumption in the same period.
    • DeepSeek demonstrated that open-weight models can compete on cost, capability, and deployability.
  • ·PR Newswire: Technology NewsPlatform

    Global Times: Italian Scientist Praises China's AI, Tech Innovation Success

    Global Times interviewed Italian professor Francesco Faiola, who says China's innovation success, including the C919 airliner, DeepSeek, Unitree Robotics, and Moonshot AI's Kimi K3, is now real global news noticed even by Italian retirees. Faiola sees China's openness to international collaboration as a sign of confidence and highlights the need for joint funding, harmonized regulations, and talent circulation between China and Europe. He dismisses 'China Shock 2.0' as lacking evidence, emphasizing that innovations like DeepSeek create new markets.

    • Chinese AI startup Moonshot AI released its Kimi K3 large language model ahead of the 2026 World AI Conference.
    • Kimi K3 is described as the world's largest open-source model by parameter count to date.
    • Chinese President Xi Jinping stressed accelerating high-level self-reliance in science and technology for the 15th Five-Year Plan period (2026-2030).

Google

Letzte Aktivitäten

  • ·AINews swyxAI for Science

    John Platt Discusses AI for Science and Google's ERA System

    In a podcast episode from latent.space, John Platt, a Google scientist and Academy Award winner, discusses his work on applying AI to scientific problems. He introduces Google's Empirical Research Assistance (ERA), a system that uses language models like Gemini to automate the search for solutions to 'scoreable' scientific tasks. ERA has contributed to papers on climate change, including reducing contrail warming and improving fire detection via FireSat. Platt emphasizes the importance of domain expertise and warns against overfitting and reward hacking. The conversation also touches on his background in physics, including time with Richard Feynman, and his views on the future of AI and science.

    • Google's ERA uses LLMs like Gemini to automate solving scientific problems.
    • ERA has led to at least ten papers, including climate change research.
    • John Platt discussed reducing contrail warming via flight level adjustments.
  • ·Android Developers BlogPlatform

    Google Launches Googlebook Laptop with Adaptive App Development

    Google announced Googlebook, a new laptop category built on Android, featuring partner hardware from HP, Dell, Lenovo, Acer, and Asus. The device integrates Google Play optimization, with dedicated badging for optimized apps. Developers are encouraged to use adaptive development to scale their apps from phones to desktop, leveraging window size classes, multi-pane layouts, and multi-instance support. The post details technical features like Navigation 3, Scene decorators, and Continue On for cross-device handoffs. Google Play will highlight optimized apps, and developers can join the Apps Experience Program for new rate cards. Android Studio Canary includes a desktop emulator for testing, and an adaptive skill assists AI agents in refactoring layouts. The announcement emphasizes a single codebase to optimize across form factors.

    • Google announced Googlebook, a new Android-based laptop category, with partners HP, Dell, Lenovo, Acer, and Asus.
    • Google Play will feature optimized apps with badging, enhanced search, and featured spots.
    • Developers are encouraged to use adaptive development to scale apps across phones, foldables, tablets, and laptops.
  • ·Manager MagazinPolicy / Regulation

    Trump Compares AI Skeptics to Climate Activists, Pushes Deregulation

    US President Donald Trump escalated his campaign for unregulated AI expansion, comparing AI skeptics to climate change doomsayers on Truth Social. He framed AI as a geopolitical and economic strength issue, asserting that the US leads China and that regulation would stifle growth. Trump also announced plans for an 'AI Force' to address negative AI impacts and named a forthcoming 'AI Czar'. This comes amid warnings from tech leaders like Anthropic's Dario Amodei about risks of AI agents, and public concerns over resource-intensive data centers. The article highlights a divide between Trump's deregulatory stance and parts of the tech industry calling for safeguards.

    • Donald Trump criticized AI skeptics and compared them to climate change activists on Truth Social.
    • Trump announced an 'AI Force' and plans to appoint an 'AI Czar'.
    • Anthropic CEO Dario Amodei warned against the rapid development of AI agents.

Exakte Ökosystem-Überschneidungen vergleichen

Erkunde alle tiefen Marktbeziehungen in Polaris7. Entdecke gemeinsame Kunden, integrierte Technologien, SDK-Schnittstellen und überlappende Partner von DeepSeek und Google im Markt-Ökosystem.