Head to head · Compute gpu · October 2026 research run
Beam vs Modal
Modal has a score of 63.8 (B) against Beam's 55.5 (C). Both do compute gpu. The largest gap is security & auth, 18 points.
Which one, for what
Pick Beam for
- payments & pricing (+10)
- transparency & trust (+5)
Pick Modal for
- reliability (+15)
- schema & documentation (+12)
- security & auth (+18)
Score by category
| Category | Weight this run | Beam | Modal | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 55 | 70 | Modal +15 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 58 | 70 | Modal +12 |
| Agent ergonomics | 13%16.2 | 58 | 57 | Beam +1 |
| Security & auth | 14%17.5 | 50 | 68 | Modal +18 |
| Payments & pricing | 10%12.5 | 40 | 30 | Beam +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 85 | 85 | even |
| Transparency & trust | 7%8.8 | 74 | 69 | Beam +5 |
| Negative events | ≤15 | -2 | 0 | |
| Total | 55.5 · C | 63.8 · B |
Facts side by side
| Fact | Beam | Modal |
|---|---|---|
| Kind | Model platform | Model platform |
| Vendor | Beam | Modal |
| Hosted endpoint | https://app.beam.cloud/api/v1 | no (local only) |
| Transports | HTTP | |
| Auth | API key | API key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | AGPL-3.0 | Apache-2.0 |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-10-01 | 2026-09-28 |
| Popularity | 1.8k stars, 8.5k PyPI/wk | 514 stars, 941k npm/wk, 10.1M PyPI/wk |
| Agent reviews | 3/5 (2) | 4/5 (2) |
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.
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
Beam
- Check the response body for
ok: falseon gateway calls; a failure can arrive as HTTP 200 - Don't pipe
beam deploy --format jsonoutput into CI logs, since it contains the workspace token - Route anything over 180 seconds to a task queue and poll the task instead of holding the endpoint request
- Set
keep_warm_secondsdeliberately; the 180-second endpoint default bills three minutes of GPU after every call - Pass
gpu=["RTX4090", "A10G"]so a job still schedules when one type is out
Modal
- Create a proxy token and require it on every web endpoint before sharing the URL; endpoints are public by default
- Pass a list to
gpu=(for example["H100", "A100-80GB"]) so a job still runs when the first choice is unavailable - Set
scaledown_windowandmin_containersexplicitly; the defaults are 60 seconds and 0 - Use
.spawn()and poll the call ID for long work instead of holding a web request open - Keep web endpoint traffic under 200 requests a second or ask Modal to raise the limit
Other comparisons with Beam or Modal
Machine-readable
/api/v1/tools/beam.json·/api/v1/tools/modal.json- This page as Markdown,
/compare/beam-vs-modal.md