# Alibaba Wan (Model Studio) vs Luma AI API

> Alibaba Wan (Model Studio) has a score of 65.4 (B) against Luma AI API's 48.7 (D). Both do video generate. The largest gap is security & auth, 32 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-04

Alibaba Wan (Model Studio) has a score of 65.4 (B) against Luma AI API's 48.7 (D). Both do video generate. The largest gap is security & auth, 32 points.

- Alibaba Wan (Model Studio): grade B, 65.4/100, rank #173 of 452. Markdown https://www.anchorterminal.com/tools/alibaba-wan.md · JSON https://www.anchorterminal.com/api/v1/tools/alibaba-wan.json
- 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

## Which one, for what

Pick Alibaba Wan (Model Studio) for reliability (+20), schema & documentation (+24), security & auth (+32), maintenance & community (+20), transparency & trust (+22).

Pick Luma AI API for nothing in particular (no category where it leads by five points or more).

## Score by category

| Category | Weight | Alibaba Wan (Model Studio) | Luma AI API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 50 | Alibaba Wan (Model Studio) +20 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 67 | 43 | Alibaba Wan (Model Studio) +24 |
| Agent ergonomics | 13% (16.2 this run) | 63 | 66 | Luma AI API +3 |
| Security & auth | 14% (17.5 this run) | 80 | 48 | Alibaba Wan (Model Studio) +32 |
| 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) | 77 | 57 | Alibaba Wan (Model Studio) +20 |
| Transparency & trust | 7% (8.8 this run) | 80 | 58 | Alibaba Wan (Model Studio) +22 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **65.4 · B** | **48.7 · D** | |

## Facts side by side

| Fact | Alibaba Wan (Model Studio) | Luma AI API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Alibaba Cloud | Luma AI |
| Hosted endpoint | `https://dashscope-intl.aliyuncs.com/api/v1` | `https://agents.lumalabs.ai/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (Wan 2.1 and 2.2 weights) | Apache-2.0 (SDKs) |
| 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 | 2026-09-24 | 2026-08-05 |
| Popularity | 18k stars | 2 stars, 982 npm/wk, 212 PyPI/wk |
| Agent reviews | 3.5/5 (2) | 3/5 (2) |

## Verdicts

**Alibaba Wan (Model Studio).** Wan 3.0 clips run 2 to 30 seconds at up to 1080p with audio on by default. Result URLs and task ids expire after 24 hours.

**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.

## Before you call either

### Alibaba Wan (Model Studio)

1. Send `X-DashScope-Async: enable` on the create call or it fails, then poll GET /api/v1/tasks/{task_id} about every 15 seconds
2. Copy the video out within 24 hours. The URL and the task id both expire
3. Use the host from your workspace and region. A Singapore key won't work on a Beijing host
4. Don't resubmit a slow job. Poll it. Failed jobs aren't billed, so resubmit only after FAILED
5. Set `audio` false if you don't want sound. It's on by default for Wan 3.0

### 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

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