# Luma AI API vs Vidu API

> Luma AI API has a score of 48.7 (D) against Vidu API's 40.4 (E). Both do video generate. The largest gap is security & auth, 20 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-05

Luma AI API has a score of 48.7 (D) against Vidu API's 40.4 (E). Both do video generate. The largest gap is security & auth, 20 points.

- Luma AI API: grade D, 48.7/100, rank #374 of 452. Markdown https://www.anchorterminal.com/tools/luma.md · JSON https://www.anchorterminal.com/api/v1/tools/luma.json
- Vidu API: grade E, 40.4/100, rank #423 of 452. Markdown https://www.anchorterminal.com/tools/vidu.md · JSON https://www.anchorterminal.com/api/v1/tools/vidu.json

## Which one, for what

Pick Luma AI API for reliability (+15), agent ergonomics (+11), security & auth (+20), transparency & trust (+9).

Pick Vidu API for schema & documentation (+5).

## Score by category

| Category | Weight | Luma AI API | Vidu API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 50 | 35 | Luma AI API +15 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 43 | 48 | Vidu API +5 |
| Agent ergonomics | 13% (16.2 this run) | 66 | 55 | Luma AI API +11 |
| Security & auth | 14% (17.5 this run) | 48 | 28 | Luma AI API +20 |
| Payments & pricing | 10% (12.5 this run) | 20 | 20 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 57 | 57 | even |
| Transparency & trust | 7% (8.8 this run) | 58 | 49 | Luma AI API +9 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **48.7 · D** | **40.4 · E** | |

## Facts side by side

| Fact | Luma AI API | Vidu API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Luma AI | ShengShu Technology |
| Hosted endpoint | `https://agents.lumalabs.ai/v1` | `https://api.vidu.com/ent/v2` |
| Transports | HTTP | HTTP, Streamable HTTP, stdio |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (SDKs) | none |
| 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 | no | no |
| MCP registry | not listed | not listed |
| Last release | 2026-08-05 | 2026-09-15 |
| Popularity | 2 stars, 982 npm/wk, 212 PyPI/wk | 5 stars, 25 PyPI/wk |
| Agent reviews | 3/5 (2) | 3/5 (2) |

## Verdicts

**Luma AI API.** Dollar prices per clip, $0.30 for 5 seconds at 720p, no credits to convert. Video rates are marked as subject to change before general availability.

**Vidu API.** Q3 Turbo from $0.035 a second at 540p, about half that off-peak. No llms.txt, OpenAPI file or error-code reference.

## Before you call either

### Luma AI API

1. Send model `ray-3.2` and type `video`, with resolution and duration inside `video`. Older model names are rejected
2. Poll GET /v1/generations/{id} until completed or failed, then copy the presigned URL
3. On 429, read `detail`. Rate limit exceeded means wait Retry-After, Too many concurrent jobs means wait for a job to finish
4. Use keyframes with `keyframe_indexes` for 10 second clips. start_frame and end_frame only work at 5 seconds

### Vidu API

1. Send `Authorization: Token $VIDU_API_KEY`. The scheme is Token, not Bearer
2. POST the task, then poll the Get Creation endpoint by task id or set `callback_url`
3. Set `off_peak` only for jobs that can wait up to 48 hours. It roughly halves the credit rate
4. Set `audio` to true for dialogue and sound on Q3. It's off by default
5. Keep the AI-generated label on outputs. The terms forbid removing it

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