Head to head · Compute gpu · October 2026 research run

Baseten vs Replicate Deployments

Baseten has a score of 66.7 (B) against Replicate Deployments's 63.7 (B). Both do compute gpu. The largest gap is security & auth, 42 points.

Which one, for what

Pick Baseten for

  • reliability (+5)
  • security & auth (+42)
  • payments & pricing (+10)
  • maintenance & community (+20)

Pick Replicate Deployments for

  • agent ergonomics (+13)
  • transparency & trust (+13)

Score by category

CategoryWeight this runBasetenReplicate DeploymentsEdge
Reliability16%208075Baseten +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28485Replicate Deployments +1
Agent ergonomics13%16.25568Replicate Deployments +13
Security & auth14%17.58240Baseten +42
Payments & pricing10%12.54030Baseten +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.89070Baseten +20
Transparency & trust7%8.86780Replicate Deployments +13
Negative events≤15-50
Total66.7 · B63.7 · B

Facts side by side

FactBasetenReplicate Deployments
KindHTTP APIHTTP API
VendorBasetenReplicate
Hosted endpointhttps://api.baseten.cohttps://api.replicate.com/v1
TransportsHTTPHTTP, SSE (legacy), stdio
AuthAPI keyAPI key
PricingPay per usePay per use
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 release2026-09-282026-09-22
Popularity1.2k stars, 74k PyPI/wk9.5k stars, 634k npm/wk, 387k 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.

Replicate Deployments

OpenAPI file, llms.txt and an MCP server with a two-tool code mode. Private instances bill set-up and idle time, H100 at $5.49 an hour.

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

Replicate Deployments

  1. List GET /v1/hardware first and use the returned sku in the deployment body
  2. Set min_instances to 0 for bursty work; a warm H100 bills $5.49 an hour whether called or not
  3. Send Prefer: wait on deployment predictions to block instead of polling
  4. Copy outputs within an hour; API prediction data is deleted after that
  5. Wait for the reset time in the 429 body before retrying; prediction creates cap at 600 a minute

Other comparisons with Baseten or Replicate Deployments

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