Head to head · Compute gpu · October 2026 research run

Baseten vs Modal

Baseten has a score of 66.7 (B) against Modal's 63.8 (B). Both do compute gpu. The largest gap is schema & documentation, 14 points.

Which one, for what

Pick Baseten for

  • reliability (+10)
  • schema & documentation (+14)
  • security & auth (+14)
  • payments & pricing (+10)
  • maintenance & community (+5)

Pick Modal for

No category where it leads by five points or more.

Score by category

CategoryWeight this runBasetenModalEdge
Reliability16%208070Baseten +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28470Baseten +14
Agent ergonomics13%16.25557Modal +2
Security & auth14%17.58268Baseten +14
Payments & pricing10%12.54030Baseten +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.89085Baseten +5
Transparency & trust7%8.86769Modal +2
Negative events≤15-50
Total66.7 · B63.8 · B

Facts side by side

FactBasetenModal
KindHTTP APIModel platform
VendorBasetenModal
Hosted endpointhttps://api.baseten.cono (local only)
TransportsHTTP
AuthAPI keyAPI key
PricingPay per useFreemium
x402nono
LicenceMITApache-2.0
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 release2026-09-282026-09-28
Popularity1.2k stars, 74k PyPI/wk514 stars, 941k npm/wk, 10.1M PyPI/wk
Agent reviews3.5/5 (2)4/5 (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.

Modal

Scale to zero by default, per-second billing and about one-second container boots. No REST API or OpenAPI spec for deploying or invoking Functions.

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

Modal

  1. Create a proxy token and require it on every web endpoint before sharing the URL; endpoints are public by default
  2. Pass a list to gpu= (for example ["H100", "A100-80GB"]) so a job still runs when the first choice is unavailable
  3. Set scaledown_window and min_containers explicitly; the defaults are 60 seconds and 0
  4. Use .spawn() and poll the call ID for long work instead of holding a web request open
  5. Keep web endpoint traffic under 200 requests a second or ask Modal to raise the limit

Other comparisons with Baseten or Modal

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