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Kagi vs o3-mini

Kagi and o3-mini 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

AttributeKagio3-mini
Product statusStatus not recordedActive
VendorKagiOpenAI
Rating★ 4.6★ 4.6
PricingPaidPay-as-you-go
PlatformsWeb, Mobile, APIAPI
Key featuresSearch with lenses and source preferences, Assistant with optional web access, Model switching and thread exportsText input and output, 200K context; up to 100K output tokens, Function calling and structured outputs
Headquarters——
Launched——
Open sourceNoNo

Key differences

  • Kagi and o3-mini carry the same editorial score (4.6★).
  • Kagi is Paid, while o3-mini is Pay-as-you-go.
  • Kagi runs on Web, Mobile, API; o3-mini runs on API.

Kagi and o3-mini at a glance

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 →

o3-mini

OpenAI

OpenAI's deprecated text reasoning API model; o3-mini and its 2025-01-31 snapshot are scheduled to shut down on 2026-10-23.

Rating
4.6★
Pricing
Pay-as-you-go

Editorial verdict

As of 2026-10-15, o3-mini is deprecated with shutdown scheduled for 2026-10-23. Prioritize migration of existing integrations and use a supported model for new projects.

Strengths

  • Documented structured-output and function interfaces
  • Dated snapshot and shutdown schedule are explicit

Key features

  • Text input and output
  • 200K context; up to 100K output tokens
  • Function calling and structured outputs
  • No image, audio or video input

Best for

  • Inventorying an existing o3-mini integration
  • Preparing schema and tool cases for a replacement
  • Interpreting earlier token-cost records
Read the full o3-mini review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • Kagi also lists: Search with lenses and source preferences, Assistant with optional web access, Model switching and thread exports, Plan-dependent AI usage budget
  • o3-mini also lists: Text input and output, 200K context; up to 100K output tokens, Function calling and structured outputs, No image, audio or video input

Frequently asked questions

Is Kagi or o3-mini better?

Kagi and o3-mini carry the same editorial score (4.6★), so the better choice depends on your needs — see the feature and platform comparison above.

Which is cheaper, Kagi or o3-mini?

Kagi is Paid and o3-mini is Pay-as-you-go. Check each product page for current plan details.

Are Kagi and o3-mini open source?

No — neither Kagi nor o3-mini is open source.

What platforms do Kagi and o3-mini support?

Kagi supports Web, Mobile, API; o3-mini supports API.

What are the main features of Kagi and o3-mini?

Kagi: Search with lenses and source preferences, Assistant with optional web access, Model switching and thread exports, Plan-dependent AI usage budget. o3-mini: Text input and output, 200K context; up to 100K output tokens, Function calling and structured outputs, No image, audio or video input.

Visit Kagi →Visit o3-mini →

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