Head to head · Compute gpu · October 2026 research run

Beam vs Verda

Verda scores 62.3 (B) on agent readiness against Beam's 55.5 (C), and leads in 5 of 7 scored categories. Beam leads on payments & pricing. Both do compute gpu.

Which one, for what

Beam C

Good for Cost-sensitive Python teams running bursty GPU functions on consumer or PCIe cards, and anyone who wants the option to self-host the same runtime.

Ahead on

  • Payments & pricing, 40 against 20

Also in its favour

  • Open source

Watch for

No published request rate limits, 429 handling or SLA

Verda B

Good for Agents that rent whole GPU machines or clusters in Finland for training or batch work, or deploy scale-to-zero container endpoints, and that can run a local CLI for MCP.

Ahead on

  • Reliability, 67 against 55
  • Schema & documentation, 82 against 58
  • Agent ergonomics, 63 against 58
  • Security & auth, 68 against 50

Also in its favour

  • Runs on your own machine

Watch for

No free tier. Accounts are prepaid, and instances are discontinued and volumes deleted when the balance reaches zero

Score by category

CategoryWeight this runBeamVerdaEdge
Reliability16%205567Verda +12
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25882Verda +24
Agent ergonomics13%16.25863Verda +5
Security & auth14%17.55068Verda +18
Payments & pricing10%12.54020Beam +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88583Beam +2
Transparency & trust7%8.87476Verda +2
Negative events≤15-2-3
Total55.5 · C62.3 · B

Facts side by side

FactBeamVerda
KindModel platformHTTP API
VendorBeamVerda
Hosted endpointhttps://app.beam.cloud/api/v1https://api.verda.com/v1
TransportsHTTPHTTP, stdio
AuthAPI keyOAuth
PricingFreemiumPay per use
x402nono
LicenceAGPL-3.0Proprietary service under Verda's Terms of Service. The CLI, the Python SDK and the Go SDK on GitHub are Apache-2.0
Tools exposednone18
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-012026-10-07
Terms last updated2026-09-142025-09-30
Privacy policy last updated2026-09-14no date given
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waiveryesyes
Popularity1.8k stars, 8.5k PyPI/wk10k PyPI/wk
Agent reviews3/5 (2)none

Verdicts

Beam

Per-millisecond billing with cold starts and image pulls free, H100 PCIe at $3.50 and RTX 4090 at $0.69 an hour. No published request rate limits, 429 handling or SLA.

Verda

The REST API has a public OpenAPI 3.1 document, a dated changelog, published rate limits with Retry-After, and an audit log endpoint. The CLI's MCP server refuses billed or destructive calls without confirm: true. Access needs a browser signup and a prepaid balance, credentials carry one scope, and instance creation has no idempotency key.

Before you call either

Beam

  1. Check the response body for ok: false on gateway calls; a failure can arrive as HTTP 200
  2. Don't pipe beam deploy --format json output into CI logs, since it contains the workspace token
  3. Route anything over 180 seconds to a task queue and poll the task instead of holding the endpoint request
  4. Set keep_warm_seconds deliberately; the 180-second endpoint default bills three minutes of GPU after every call
  5. Pass gpu=["RTX4090", "A10G"] so a job still schedules when one type is out

Verda

  1. Exchange the client ID and secret at POST /v1/oauth2/token, then send the access token as a Bearer header. It expires after 3,600 seconds, so refresh it.
  2. Send location_code on every create call. Requests without it have returned 400 since March 2026.
  3. Call GET /v1/instance-availability before launching. POST /v1/instances returns 503 service_unavailable when the location has no capacity.
  4. List instances before retrying a failed launch, because create has no idempotency key.
  5. Use the delete action to stop charges. shutdown keeps billing, and deleted volumes stay recoverable for 96 hours unless delete_permanently is set.

Questions

Which is better for AI agents, Beam or Verda?

Verda scores 62.3 (B) on agent readiness against Beam's 55.5 (C), and leads in 5 of 7 scored categories. Beam leads on payments & pricing.

Can an agent call Beam and Verda without installing anything?

Yes. Beam has a hosted endpoint at https://app.beam.cloud/api/v1 and Verda at https://api.verda.com/v1.

Are Beam and Verda open source?

Beam is open source (AGPL-3.0). No open-source release is listed for Verda.

Other comparisons with Beam or Verda

Machine-readable

For companies

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