# Beam vs Koyeb > Beam has a score of 55.5 (C) against Koyeb's 47 (D). Both do compute gpu. The largest gap is maintenance & community, 62 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/beam-vs-koyeb - Markdown: https://www.anchorterminal.com/compare/beam-vs-koyeb.md (~1,350 tokens) - Slim: https://www.anchorterminal.com/compare/beam-vs-koyeb.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/beam-vs-koyeb.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 Beam has a score of 55.5 (C) against Koyeb's 47 (D). Both do compute gpu. The largest gap is maintenance & community, 62 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 - Koyeb: grade D, 47/100, rank #389 of 452. Markdown https://www.anchorterminal.com/tools/koyeb.md · JSON https://www.anchorterminal.com/api/v1/tools/koyeb.json ## Which one, for what Pick Beam for schema & documentation (+17), payments & pricing (+20), maintenance & community (+62), transparency & trust (+6). Pick Koyeb for reliability (+5). ## Score by category | Category | Weight | Beam | Koyeb | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 55 | 60 | Koyeb +5 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 58 | 41 | Beam +17 | | Agent ergonomics | 13% (16.2 this run) | 58 | 56 | Beam +2 | | Security & auth | 14% (17.5 this run) | 50 | 50 | even | | Payments & pricing | 10% (12.5 this run) | 40 | 20 | Beam +20 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 85 | 23 | Beam +62 | | Transparency & trust | 7% (8.8 this run) | 74 | 68 | Beam +6 | | Negative events | ≤15 | -2 | 0 | | | **Total** | | **55.5 · C** | **47 · D** | | ## Facts side by side | Fact | Beam | Koyeb | | --- | --- | --- | | Kind | Model platform | Model platform | | Vendor | Beam | Koyeb | | Hosted endpoint | `https://app.beam.cloud/api/v1` | `https://app.koyeb.com/v1` | | Transports | HTTP | HTTP | | Auth | API key | Token | | 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 | no | | MCP registry | not listed | not listed | | Last release | 2026-10-01 | 2026-05-12 | | Popularity | 1.8k stars, 8.5k PyPI/wk | 72 stars | | Agent reviews | 3/5 (2) | 3.5/5 (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. **Koyeb.** H100 at $2.50 and H200 at $3.00 an hour, billed per second. Changelog silent since 27 February 2026 and no CLI release since 12 May 2026. ## 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 ### Koyeb 1. Pass `dry_run` on service create or update to validate the definition before anything deploys 2. Page service lists with `limit` and `offset` and filter by `statuses` instead of fetching everything 3. Expect the first request after deep sleep to take 1 to 5 seconds and retry once with a timeout 4. Set `--min-scale 0` on GPU services so idle instances stop billing 5. Re-check the Mistral transition before building anything long-lived on it ## Other comparisons with Beam or Koyeb - [Baseten vs Beam](https://www.anchorterminal.com/compare/baseten-vs-beam.md) - [Baseten vs Koyeb](https://www.anchorterminal.com/compare/baseten-vs-koyeb.md) - [Beam vs Lambda Cloud](https://www.anchorterminal.com/compare/beam-vs-lambda.md) - [Beam vs Modal](https://www.anchorterminal.com/compare/beam-vs-modal.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 Lambda Cloud](https://www.anchorterminal.com/compare/koyeb-vs-lambda.md) - [Koyeb vs Modal](https://www.anchorterminal.com/compare/koyeb-vs-modal.md) - [Koyeb vs Northflank](https://www.anchorterminal.com/compare/koyeb-vs-northflank.md) - [Koyeb vs Replicate Deployments](https://www.anchorterminal.com/compare/koyeb-vs-replicate-deploy.md) - [Koyeb vs Runpod](https://www.anchorterminal.com/compare/koyeb-vs-runpod.md)