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

O aplicativo de bate-papo do DeepSeek é gratuito; sua API compatível com OpenAI é paga por token (DeepSeek-V4 de $ 0,14/M de entrada, $ 0,28/M de saída) com modo de pensamento e um contexto de 1 milhão de token.

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

  • Família principal DeepSeek-V4 com modos de pensamento e não pensamento unificados
  • Janela de contexto de 1 milhão de tokens com saída máxima de até aproximadamente 384 mil tokens
  • Aplicativo gratuito de bate-papo para o consumidor na Web, iOS e Android
  • API de baixo custo compatível com OpenAI com preço de US$ 0,14 por milhão de tokens de entrada
  • Cache de contexto com grandes descontos de acerto de cache (entrada repetida aproximadamente 50x mais barata)

Best DeepSeek Use Cases

  • Usando IA poderosa com menor custo
  • Geração e depuração de código
  • Tarefas de raciocínio complexas
  • Pesquisa sobre LLMs de código aberto

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NotebookLM

Google de AI de pesquisa e assistente de tomada de notas

NotebookLM is free to use.

NotebookLM Key Features

  • Carregar PDFs, documentos, vídeos, páginas web
  • Respostas citadas baseadas em fontes
  • Geração de podcasts de áudio
  • Criação de um guia de estudo
  • Calendário e geração de FAQ

Best NotebookLM Use Cases

  • Analisando artigos e relatórios de pesquisa
  • Estudando a partir de materiais de curso
  • Criação de podcasts a partir de documentos
  • Construção de bases de conhecimento a partir de doutores

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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.

Perguntas Frequentes

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?

Explorar DeepSeek alternatives e NotebookLM alternatives em Nextool.ai para mais opções.

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