Baseten vs Poe 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 Poe
Starts at Custom Custom
Number of plans 3 1
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

Free

$0/mo

Baseten vs Poe 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 Poe 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. Poe: At $4.99/month entry point, Poe is undercutting ChatGPT Plus ($20/mo) and Claude Pro ($20/mo) significantly — they're positioning as the budget-friendly multi-model aggregator, not a premium single-model experience. They're going after cost-conscious power users who want model flexibility without paying full price for each platform separately.

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