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

DeepSeek chat ilovasi bepul; uning OpenAI-mos API - har bir token uchun to'lov (DeepSeek-V4 dan $0,14/M kirish, $0,28/M chiqish) fikrlash rejimi va 1M-token konteksti bilan.

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 birlashtirilgan fikrlash va fikrlamaslik rejimlariga ega flagman oilasi
  • Maksimal chiqishi ~ 384K tokenga ega 1M-token kontekstli oynasi
  • Veb, iOS va Android bo'ylab bepul iste'molchilar suhbati ilovasi
  • Arzon narxlardagi, OpenAI-ga mos API narxi har million kirish tokeni uchun $0,14 dan boshlanadi
  • Kontekstni keshlash keskin kesh-hit chegirmalari bilan (~50x arzon takroriy kiritish)

Best DeepSeek Use Cases

  • Kamroq xarajat bilan kuchli AIdan foydalanish
  • Kod yaratish va disk raskadrovka
  • Murakkab fikrlash vazifalari
  • Ochiq manbali LLMlar bo'yicha tadqiqotlar

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NotebookLM

Google-ning sun'iy intellekt bilan ishlaydigan tadqiqotlari va eslatma olish bo'yicha yordamchisi

NotebookLM is free to use.

NotebookLM Key Features

  • PDF-fayllarni, docslarni, videolarni, veb-sahifalarni yuklab oling
  • Manbalarga asoslangan keltirilgan javoblar
  • Audio haqida umumiy ma'lumot podkast yaratish
  • O'quv qo'llanma yaratish
  • Vaqt jadvali va tez-tez ishlab chiqarish

Best NotebookLM Use Cases

  • Tadqiqot ishlari va hisobotlarini tahlil qilish
  • Kurs materiallaridan o'rganish
  • Hujjatlardan podkastlarni yaratish
  • Docs-dan bilim bazalarini yaratish

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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.

Ko'p So'raladigan Savollar

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?

Kashf et DeepSeek alternatives va NotebookLM alternatives Nextool.ai qo'shimcha variantlar uchun.

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