Baseten vs Fireworks AI

Baseten and Fireworks AI are both AI Infrastructure & Deployment tools (Model APIs). Below: what each costs, what it does well, its biggest catches, and who should pick which, all from public sources rather than our own testing.

Side by side

BasetenFireworks AI
CategoryAI Model Deployment · Model APIsAI Model Deployment · LLM Deployment
PricingPer-minute GPU billing, e.g. A100 $0.06667/min, H100 $0.10833/min. (checked Oct 11, 2026)Serverless per token (varies by model). Dedicated: H100/H200 $8/hr, B200 $13/hr. (checked Oct 11, 2026)
Pros
  • Deploy models as production APIs with autoscaling
  • Scale-to-zero, so idle replicas cost nothing
  • Transparent per-minute GPU pricing, from T4 to B200
  • Fast serverless inference for open models, billed per token
  • Cached input is about 50% off and batch jobs cost half
  • Dedicated GPUs per second with no startup charge
Catches
  • Cold starts and model loading are billable
  • The default 15-minute scale-down delay keeps replicas, and the bill, running
  • Warm, redundant capacity means continuous per-minute charges
  • Prepaid, usage-based billing needs monitoring
  • Dedicated H100s at $8/hr cost more than raw GPU rentals
  • Developer-only, with no consumer app
Best forTeams serving bursty model traffic.Teams serving open-source or fine-tuned models in production.
Skip it ifYou need always-on capacity cheaper than renting GPUs directly.You just want a chatbot subscription.

Which should you pick?

Pick Baseten if…

you fit this: teams serving bursty model traffic.

But not if: you need always-on capacity cheaper than renting GPUs directly.

Watch out for: Cold starts and model loading are billable.

Pick Fireworks AI if…

you fit this: teams serving open-source or fine-tuned models in production.

But not if: you just want a chatbot subscription.

Watch out for: Prepaid, usage-based billing needs monitoring.

More options

Sources

Baseten

Fireworks AI

Pros, catches and prices are compiled from public sources (official pricing and docs pages, published reviews, user reports), not hands-on testing. Prices change often, so check the vendor page before you buy.