Head to head · Compute gpu · October 2026 research run

Koyeb vs Runpod

Runpod has a score of 53.7 (D) against Koyeb's 47 (D). Both do compute gpu. The largest gap is maintenance & community, 59 points.

Which one, for what

Pick Koyeb for

  • reliability (+25)
  • agent ergonomics (+9)

Pick Runpod for

  • schema & documentation (+40)
  • security & auth (+10)
  • maintenance & community (+59)

Score by category

CategoryWeight this runKoyebRunpodEdge
Reliability16%206035Koyeb +25
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24181Runpod +40
Agent ergonomics13%16.25647Koyeb +9
Security & auth14%17.55060Runpod +10
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82382Runpod +59
Transparency & trust7%8.86865Koyeb +3
Negative events≤1500
Total47 · D53.7 · D

Facts side by side

FactKoyebRunpod
KindModel platformHTTP API
VendorKoyebRunpod
Hosted endpointhttps://app.koyeb.com/v1https://api.runpod.ai/v2
TransportsHTTPHTTP, Streamable HTTP, stdio
AuthTokenOAuth or key
PricingFreemiumPay per use
x402nono
LicenceApache-2.0MIT
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtnoyes
MCP registrynot listednot listed
Last release2026-05-122026-09-15
Popularity72 stars314 stars, 22k npm/wk, 147k PyPI/wk
Agent reviews3.5/5 (2)3/5 (2)

Verdicts

Koyeb

H100 at $2.50 and H200 at $3.00 an hour, billed per second. Changelog silent since 27 February 2026 and no CLI release since 12 May 2026.

Runpod

Per-second billing across more than a dozen serverless GPU classes, H100 at $4.79 and A100 80 GB at $2.72 an hour. Data-centre outages of 6 to 24 hours in each of July, August and September 2026.

Before you call either

Koyeb

  1. Pass dry_run on service create or update to validate the definition before anything deploys
  2. Page service lists with limit and offset and filter by statuses instead of fetching everything
  3. Expect the first request after deep sleep to take 1 to 5 seconds and retry once with a timeout
  4. Set --min-scale 0 on GPU services so idle instances stop billing
  5. Re-check the Mistral transition before building anything long-lived on it

Runpod

  1. Create a Restricted or Read Only key per endpoint for the agent, not an All key
  2. Use REST v2 at api.runpod.io/v2 with a Bearer header; avoid GraphQL, which puts the key in the URL
  3. Fetch /run results within 30 minutes and /runsync results within 1 minute, or they're gone
  4. Call /retry on a failed job ID rather than submitting a duplicate job
  5. Check /health before relying on an endpoint idle for a week, since max workers drop to 0

Other comparisons with Koyeb or Runpod

Machine-readable

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