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

L'application de chat de DeepSeek est gratuite ; son API compatible OpenAI est payante par jeton (DeepSeek-V4 à partir de 0,14 $/M en entrée, 0,28 $/M en sortie) avec un mode réflexion et un contexte de 1 million de jetons.

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

  • Famille phare DeepSeek-V4 avec modes de pensée et de non-réflexion unifiés
  • Fenêtre contextuelle de 1 million de jetons avec une sortie maximale d'environ 384 000 jetons
  • Application de chat grand public gratuite sur le Web, iOS et Android
  • API à faible coût et compatible OpenAI, à partir de 0,14 $ par million de jetons d'entrée
  • Mise en cache contextuelle avec des réductions importantes sur les accès au cache (entrée répétée environ 50 fois moins chère)

Best DeepSeek Use Cases

  • Utiliser une IA puissante à moindre coût
  • Génération de code et débogage
  • Tâches de raisonnement complexes
  • Recherche sur les LLM open source

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NotebookLM

Google's AI-powered research and note-taking assistant

NotebookLM is free to use.

NotebookLM Key Features

  • Upload PDFs, docs, videos, web pages
  • Cited answers grounded in sources
  • Audio Overview podcast generation
  • Study guide creation
  • Timeline and FAQ generation

Best NotebookLM Use Cases

  • Analyzing research papers and reports
  • Studying from course materials
  • Creating podcasts from documents
  • Building knowledge bases from docs

View full NotebookLM profile · NotebookLM alternatives · All Productivity AI Tools

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.

Questions fréquemment posées

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?

Explorer DeepSeek alternatives and NotebookLM alternatives on Nextool.ai for more options.

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