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DeepSeek V3 vs Kagi

DeepSeek V3 and Kagi are both Conversational AI tools in our directory. This side-by-side comparison covers pricing, editorial scores, supported platforms, key features and open-source status so you can decide which one fits your needs.

Side-by-side comparison

AttributeDeepSeek V3Kagi
Product statusStatus not recordedStatus not recorded
VendorDeepSeekKagi
Rating★ 4.7★ 4.6
PricingFreePaid
PlatformsModel weights, Self-hosted codeWeb, Mobile, API
Key featuresVendor figure: 671B total parameters, Vendor figure: 37B active per token, MIT-licensed repository codeSearch with lenses and source preferences, Assistant with optional web access, Model switching and thread exports
Headquarters——
Launched2024—
Open sourceNoNo

Key differences

  • DeepSeek V3 carries the higher editorial score (4.7★ vs 4.6★).
  • DeepSeek V3 is Free, while Kagi is Paid.
  • DeepSeek V3 runs on Model weights, Self-hosted code; Kagi runs on Web, Mobile, API.

DeepSeek V3 and Kagi at a glance

DeepSeek V3

DeepSeek

Original 2024 DeepSeek-V3 Base/Chat weights and code: vendor-documented MoE architecture, MIT code and a separate model license; current hosted V3 access is unconfirmed.

Rating
4.7★
Pricing
Free

Editorial verdict

Evaluate original V3 as a specific downloadable release with separate code and weight licenses; verify infrastructure and any hosted version instead of borrowing today's API price or a frontier-quality claim.

Strengths

  • Published original Base/Chat weights and technical materials
  • Vendor-documented MoE architecture
  • Code and model-license documents available for review

Key features

  • Vendor figure: 671B total parameters
  • Vendor figure: 37B active per token
  • MIT-licensed repository code
  • Weights follow LICENSE-MODEL
  • Runtime costs depend on deployment

Best for

  • Pinned-release model research
  • License-aware self-hosting evaluation
  • Historical API and model migration inventory
Read the full DeepSeek V3 review →

Kagi

Kagi

Subscription search with filtering and an optional multi-model Assistant; search quotas, AI usage budgets, provider retention and commercial rights require separate checks.

Rating
4.6★
Pricing
Paid

Editorial verdict

Consider Kagi if paid search fits your workflow; verify the AI budget, data path and commercial permissions before adopting it.

Strengths

  • Search and Assistant under one membership
  • Documented usage and provider privacy tables

Key features

  • Search with lenses and source preferences
  • Assistant with optional web access
  • Model switching and thread exports
  • Plan-dependent AI usage budget

Best for

  • Source-checked web research
  • Plan-budgeted assistant questions
Read the full Kagi review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • DeepSeek V3 also lists: Vendor figure: 671B total parameters, Vendor figure: 37B active per token, MIT-licensed repository code, Weights follow LICENSE-MODEL, Runtime costs depend on deployment
  • Kagi also lists: Search with lenses and source preferences, Assistant with optional web access, Model switching and thread exports, Plan-dependent AI usage budget

Frequently asked questions

Is DeepSeek V3 or Kagi better?

By editorial score, DeepSeek V3 scores higher (4.7★ vs 4.6★). Both are capable Conversational AI tools, so review the feature comparison for your use case.

Which is cheaper, DeepSeek V3 or Kagi?

DeepSeek V3 is Free and Kagi is Paid. Check each product page for current plan details.

Are DeepSeek V3 and Kagi open source?

No — neither DeepSeek V3 nor Kagi is open source.

What platforms do DeepSeek V3 and Kagi support?

DeepSeek V3 supports Model weights, Self-hosted code; Kagi supports Web, Mobile, API.

What are the main features of DeepSeek V3 and Kagi?

DeepSeek V3: Vendor figure: 671B total parameters, Vendor figure: 37B active per token, MIT-licensed repository code, Weights follow LICENSE-MODEL, Runtime costs depend on deployment. Kagi: Search with lenses and source preferences, Assistant with optional web access, Model switching and thread exports, Plan-dependent AI usage budget.

Visit DeepSeek V3 →Visit Kagi →

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