# 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. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/beam-vs-modal - Markdown: https://www.anchorterminal.com/compare/beam-vs-modal.md (~1,350 tokens) - Slim: https://www.anchorterminal.com/compare/beam-vs-modal.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/beam-vs-modal.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-05 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. - Beam: grade C, 55.5/100, rank #313 of 452. Markdown https://www.anchorterminal.com/tools/beam.md · JSON https://www.anchorterminal.com/api/v1/tools/beam.json - Modal: grade B, 63.8/100, rank #195 of 452. Markdown https://www.anchorterminal.com/tools/modal.md · JSON https://www.anchorterminal.com/api/v1/tools/modal.json ## 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 | Beam | Modal | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 55 | 70 | Modal +15 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 58 | 70 | Modal +12 | | Agent ergonomics | 13% (16.2 this run) | 58 | 57 | Beam +1 | | Security & auth | 14% (17.5 this run) | 50 | 68 | Modal +18 | | Payments & pricing | 10% (12.5 this run) | 40 | 30 | Beam +10 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 85 | 85 | even | | Transparency & trust | 7% (8.8 this run) | 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 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 ### 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 Beam or Modal - [Baseten vs Beam](https://www.anchorterminal.com/compare/baseten-vs-beam.md) - [Baseten vs Modal](https://www.anchorterminal.com/compare/baseten-vs-modal.md) - [Beam vs Koyeb](https://www.anchorterminal.com/compare/beam-vs-koyeb.md) - [Beam vs Lambda Cloud](https://www.anchorterminal.com/compare/beam-vs-lambda.md) - [Beam vs Northflank](https://www.anchorterminal.com/compare/beam-vs-northflank.md) - [Beam vs Replicate Deployments](https://www.anchorterminal.com/compare/beam-vs-replicate-deploy.md) - [Beam vs Runpod](https://www.anchorterminal.com/compare/beam-vs-runpod.md) - [Koyeb vs Modal](https://www.anchorterminal.com/compare/koyeb-vs-modal.md) - [Lambda Cloud vs Modal](https://www.anchorterminal.com/compare/lambda-vs-modal.md) - [Modal vs Northflank](https://www.anchorterminal.com/compare/modal-vs-northflank.md) - [Modal vs Replicate Deployments](https://www.anchorterminal.com/compare/modal-vs-replicate-deploy.md) - [Modal vs Runpod](https://www.anchorterminal.com/compare/modal-vs-runpod.md)