Head to head · Compute gpu · October 2026 research run

Baseten vs Runpod

Baseten has a score of 66.7 (B) against Runpod's 53.7 (D). Both do compute gpu. The largest gap is reliability, 45 points.

Which one, for what

Pick Baseten for

  • reliability (+45)
  • agent ergonomics (+8)
  • security & auth (+22)
  • payments & pricing (+20)
  • maintenance & community (+8)

Pick Runpod for

No category where it leads by five points or more.

Score by category

CategoryWeight this runBasetenRunpodEdge
Reliability16%208035Baseten +45
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28481Baseten +3
Agent ergonomics13%16.25547Baseten +8
Security & auth14%17.58260Baseten +22
Payments & pricing10%12.54020Baseten +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.89082Baseten +8
Transparency & trust7%8.86765Baseten +2
Negative events≤15-50
Total66.7 · B53.7 · D

Facts side by side

FactBasetenRunpod
KindHTTP APIHTTP API
VendorBasetenRunpod
Hosted endpointhttps://api.baseten.cohttps://api.runpod.ai/v2
TransportsHTTPHTTP, Streamable HTTP, stdio
AuthAPI keyOAuth or key
PricingPay per usePay per use
x402nono
LicenceMITMIT
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.txtyesyes
MCP registrynot listednot listed
Last release2026-09-282026-09-15
Popularity1.2k stars, 74k PyPI/wk314 stars, 22k npm/wk, 147k PyPI/wk
Agent reviews3.5/5 (2)3/5 (2)

Verdicts

Baseten

Team API keys scoped to inference-only, metrics-only or a single environment or model, plus a Viewer role since 1 September 2026. H100 at $6.50 and A100 at $4.00 an hour, and start-up and idle replica time are billed.

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

Baseten

  1. Create a team key with inference-only permission for calling models and keep full-access keys out of the agent
  2. Sleep for retry_after seconds on a 429 from api.baseten.co; the activate and deactivate endpoints allow 20 calls a minute
  3. Retry 429, 503 and 529 with backoff, but treat 500 as a bug in your model code
  4. Set scale_down_delay below the 900-second default or every burst bills 15 idle minutes
  5. Send payloads over 256 KiB to /predict, not /async_predict, unless support has raised the async limit

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 Baseten or Runpod

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