💸ratemypricing★ github
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🌐 html🕑 20h ago🚀 PaaS🧱 5 services

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Pricing combines monthly plan fees with granular, per-second usage across several compute and storage meters, which is common for PaaS. Bill predictability is affected by multiple GPU model rates, separate CPU/memory/sandbox meters, tier-specific credits, and a custom-priced Enterprise tier.

model: gpt-5
0🧾
Pricing clarity
A bit fiddly
0🤖
Agent easiness
Agent-friendly
📐 how these scores work

How we scored it 🧮

Every page starts at 100. Each kind of complexity subtracts points — here's the math.

🧾 Pricing clarity

73
  • Base score+100
  • 15 metered dimensions to track-23
  • Spans 5 distinct services to navigate-4
  • Total73 / 100

🤖 Agent easiness

85
  • Base score+100
  • Read from raw HTML (no markdown)-15
  • Total85 / 100

The pricing tree 🌳

tap any branch to explore
💳 Hybrid💱 $🪜 3 tiers

The tiers 🪜

Starter
$0 + compute
per month
  • Included compute credits$30 / month
  • Workspace seats3 included
  • Containers100
  • GPU concurrency10
  • Cron jobs5 deployed crons
  • Webhooks8 deployed endpoints
  • ✦$30 / month free credits
  • ✦3 workspace seats included
  • ✦100 containers + 10 GPU concurrency
  • ✦Scheduled and Web Functions (limited)
  • ✦Real-time metrics and logs
  • ✦Region selection
Team
$250 + compute
per month
  • Included compute credits$100 / month
  • Workspace seatsUnlimited
  • Containers1000
  • GPU concurrency50
  • Log retention30 days
  • Deployed apps1000
  • ✦$100 / month free credits
  • ✦Unlimited seats
  • ✦1000 containers + 50 GPU concurrency
  • ✦Unlimited Scheduled and Web Functions
  • ✦Custom domains
  • ✦Static IP proxy
  • ✦Deployment rollbacks
Enterprise
Custom
  • Workspace seatsUnlimited
  • ✦Volume-based discounts
  • ✦Unlimited seats
  • ✦Higher GPU concurrency
  • ✦Embedded ML engineering services
  • ✦Support via private Slack
  • ✦Audit logs, Okta SSO, and HIPAA

Watch out for 🕵️

  • ⚠️Multiple independent metered dimensions (GPU seconds by model, CPU core-seconds, memory GiB-seconds, volume GiB-months, sandbox CPU/memory)
  • ⚠️Per-second billing for compute and memory with no fixed inclusive amounts beyond small monthly credits
  • ⚠️Many GPU model price points that materially change cost
  • ⚠️Concurrency and container limits that can constrain or drive scaling/overages (e.g., GPU concurrency caps vary by tier)
  • ⚠️Tier subscription fees plus separate metered usage charges
  • ⚠️Enterprise plan is custom-priced with volume-based discounts (contact-sales gate for exact rates)
  • ⚠️Included monthly credits differ by tier and offset usage variably