DeepSeek vs NotebookLM (2026) — Which Is Better?

Comparing DeepSeek and NotebookLM side by side to help you choose the right AI tool for your needs. DeepSeek: DeepSeek's chat app is free; its OpenAI-compatible API is pay-per-token (DeepSeek-V4 from $0.14/M input, $0.28/M output) with thinking mode and a 1M-token context. NotebookLM: Google's AI-powered research and note-taking assistant

DeepSeek

Die Chat-App von DeepSeek ist kostenlos; Seine OpenAI-kompatible API ist Pay-per-Token (DeepSeek-V4 ab 0,14 $/M Input, 0,28 $/M Output) mit Denkmodus und einem 1M-Token-Kontext.

DeepSeek offers a free plan with paid tiers for advanced features. Consumer chat app: free on web, iOS, and Android. API (pay-per-token, no subscription; charged against a topped-up balance): deepseek-v4-flash — $0.14 per million input tokens (cache miss) or $0.0028 (cache hit), and $0.28 per million output tokens. deepseek-v4-pro — $0.435 per million input tokens (cache miss) or $0.003625 (cache hit), and $0.87 per million output tokens. Context caching delivers roughly a 50x discount on repeated input tokens. The legacy model names deepseek-chat and deepseek-reasoner now route to deepseek-v4-flash (non-thinking and thinking mode respectively).

DeepSeek Key Features

  • DeepSeek-V4 Flaggschiff-Familie mit einheitlichen Denk- und Nicht-Denkmodi
  • 1 Mio. Token-Kontextfenster mit einer maximalen Ausgabe von bis zu ~384.000 Token
  • Kostenlose Verbraucher-Chat-App für Web, iOS und Android
  • Kostengünstige, OpenAI-kompatible API ab 0,14 US-Dollar pro Million Eingabe-Tokens
  • Kontext-Caching mit hohen Cache-Treffer-Rabatten (ca. 50-mal günstiger bei wiederholter Eingabe)

Best DeepSeek Use Cases

  • Einsatz leistungsstarker KI zu geringeren Kosten
  • Codegenerierung und Debugging
  • Komplexe Denkaufgaben
  • Forschung zu Open-Source-LLMs

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NotebookLM

Googles KI-gestützter Recherche- und Notizassistent

NotebookLM is free to use.

NotebookLM Key Features

  • Laden Sie PDFs, Dokumente, Videos und Webseiten hoch
  • Zitierte Antworten basierend auf Quellen
  • Audioübersicht zur Podcast-Generierung
  • Erstellung eines Studienführers
  • Zeitleiste und FAQ-Generierung

Best NotebookLM Use Cases

  • Analyse von Forschungsarbeiten und Berichten
  • Lernen anhand von Kursmaterialien
  • Podcasts aus Dokumenten erstellen
  • Aufbau von Wissensdatenbanken aus Dokumenten

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Pricing Comparison: DeepSeek vs NotebookLM

DeepSeek: DeepSeek offers a free plan with paid tiers for advanced features. Consumer chat app: free on web, iOS, and Android. API (pay-per-token, no subscription; charged against a topped-up balance): deepseek-v4-flash — $0.14 per million input tokens (cache miss) or $0.0028 (cache hit), and $0.28 per million output tokens. deepseek-v4-pro — $0.435 per million input tokens (cache miss) or $0.003625 (cache hit), and $0.87 per million output tokens. Context caching delivers roughly a 50x discount on repeated input tokens. The legacy model names deepseek-chat and deepseek-reasoner now route to deepseek-v4-flash (non-thinking and thinking mode respectively).

NotebookLM: NotebookLM is free to use.

Häufig gestellte Fragen

Which is better: DeepSeek or NotebookLM?

The best choice between DeepSeek and NotebookLM depends on your use case. DeepSeek — DeepSeek's chat app is free; its OpenAI-compatible API is pay-per-token (DeepSeek-V4 from $0.14/M input, $0.28/M output) with thinking mode and a 1M-token context.. NotebookLM — Google's AI-powered research and note-taking assistant. Compare pricing and features above to find the best fit for your workflow.

Is DeepSeek free?

DeepSeek offers a free plan with paid tiers for advanced features. Consumer chat app: free on web, iOS, and Android. API (pay-per-token, no subscription; charged against a topped-up balance): deepseek-v4-flash — $0.14 per million input tokens (cache miss) or $0.0028 (cache hit), and $0.28 per million output tokens. deepseek-v4-pro — $0.435 per million input tokens (cache miss) or $0.003625 (cache hit), and $0.87 per million output tokens. Context caching delivers roughly a 50x discount on repeated input tokens. The legacy model names deepseek-chat and deepseek-reasoner now route to deepseek-v4-flash (non-thinking and thinking mode respectively).

Is NotebookLM free?

NotebookLM is free to use.

What are the best alternatives to DeepSeek and NotebookLM?

Erkunden DeepSeek alternatives und NotebookLM alternatives auf Nextool.ai für weitere Optionen.

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