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Computed Truth

For high-bandwidth applications, Vercel is approximately 3-5x more expensive than raw cloud providers due to egress fees ($40/100GB vs AWS $0.09/GB). However, for low-traffic or startup-phase projects, Vercel's $20/mo Pro plan often effectively costs less when factoring in the 0-minute DevOps overhead compared to managing AWS/Azure infrastructure.

Serverless Cost Comparison Engine

Estimate Monthly Bill

The Technical Proof

This engine utilizes the official on-demand pricing models (Region: us-east-1 equivalent):

1. AWS Lambda (x86)

$$ Cost = (Req \times \$0.20/1M) + (GBs \times \$16.67/M) + (BW \times \$0.09/GB) $$
Includes Free Tier: 400k GB-seconds and 1M requests per month.

2. Azure Functions (Consumption)

$$ Cost = (Req \times \$0.20/1M) + (GBs \times \$16.00/M) + (BW \times \$0.08/GB) $$
Includes Free Tier: 400k GB-seconds and 1M requests.

3. Vercel Pro

$$ Cost = \$20_{base} + \max(0, BW - 1000) \times \$40/100GB + \max(0, GBh - 1000) \times \$40/100GBh $$
Vercel abstracts compute/bandwidth. Base plan includes 1 TB bandwidth and 1000 GB-Hours of execution.

Step-by-Step Logic

  1. Normalize Input: Convert Duration to Seconds (\( T \)) and Memory to GB (\( M \)).
  2. Calculate Compute Volume: Compute Total GB-Seconds: \( GBs = Requests \times T \times M \).
  3. Apply AWS/Azure Logic:
    • Subtract Free Tier (400,000 GB-s).
    • Apply Current Price per GB-s ($0.0000166667 for AWS).
    • Add Request Fees ($0.20 per M).
    • Add Bandwidth Fees (~$0.09/GB).
  4. Apply Vercel Logic:
    • Start with Base Price ($20).
    • Convert GB-Seconds to GB-Hours (\( GBh = GBs / 3600 \)).
    • Check Limits: If \( BW > 1000GB \), add $40 per extra 100GB. If \( GBh > 1000 \), add $40 per extra 100 GB-Hours.
  5. Diff: Compare the final monthly USD values.