Baseten vs Kagi Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Baseten Kagi
Starts at Custom $5/mo
Number of plans 3 4
Free plan
Free trial
Pricing model usage-based flat-rate

Basic

$0/mo
  • Dedicated deployments
  • Model APIs
  • Training
  • Fast cold starts
  • SOC 2 Type II and HIPAA compliant
  • Email and in-app chat support

Pro

Custom
  • Priority access to high-demand GPUs
  • Dedicated compute
  • Higher Model API rate limits
  • Hands-on engineering expertise
  • Dedicated support on Slack and Zoom

Enterprise

Custom
  • Custom SLAs
  • Self-host deployments
  • On-demand flex compute
  • Use existing cloud commitments
  • Full control over data residency
  • Advanced security and compliance
  • Custom global regions
  • Advanced RBAC with Teams

Trial

$0/mo
  • Explore Kagi Search and Assistant with privacy-first tech
  • Enough to feel the difference
  • Upgrade anytime

Starter

$5/mo
  • Enough searches to get you going
  • Kagi Assistant with Quick mode and plenty of interactions

Professional

$10/mo
  • Unlimited Kagi Search
  • Kagi Assistant with Quick mode and a larger monthly usage allowance

Ultimate

$25/mo
  • Kagi Assistant with Research mode and flagship models
  • Highest level support for Kagi's mission

Baseten vs Kagi FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
How do they charge?
Different approach here. Baseten uses usage-based pricing, while Kagi goes with flat-rate. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. Baseten: They're competing in the ML inference infrastructure space against Replicate, Modal, and cloud-native options like AWS SageMaker — positioned as a developer-friendly middle ground that's more flexible than managed APIs but less DIY than raw cloud. The GPU pricing is granular enough to appeal to cost-conscious ML teams who want to optimize spend. Kagi: Kagi is a premium play in a category where the dominant competitors are literally free (Google, Bing). They're not competing on price — they're betting on a segment of privacy-conscious, quality-obsessed users willing to pay for an ad-free experience. $10/mo positions them as 'less than Netflix' to justify the switch.

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