# Alibaba Wan (Model Studio) vs Kling AI API

> Alibaba Wan (Model Studio) has a score of 65.4 (B) against Kling AI API's 22 (F). Both do video generate. The largest gap is security & auth, 60 points. Category scores, facts, verdicts and agent notes side by side.

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- 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: 2026-10-04

Alibaba Wan (Model Studio) has a score of 65.4 (B) against Kling AI API's 22 (F). Both do video generate. The largest gap is security & auth, 60 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
- Kling AI API: grade F, 22/100, rank #448 of 452. Markdown https://www.anchorterminal.com/tools/kling.md · JSON https://www.anchorterminal.com/api/v1/tools/kling.json

## Which one, for what

Pick Alibaba Wan (Model Studio) for reliability (+55), schema & documentation (+52), agent ergonomics (+36), security & auth (+60), maintenance & community (+53), transparency & trust (+34).

Pick Kling 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) | Kling AI API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 15 | Alibaba Wan (Model Studio) +55 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 67 | 15 | Alibaba Wan (Model Studio) +52 |
| Agent ergonomics | 13% (16.2 this run) | 63 | 27 | Alibaba Wan (Model Studio) +36 |
| Security & auth | 14% (17.5 this run) | 80 | 20 | Alibaba Wan (Model Studio) +60 |
| 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 | 24 | Alibaba Wan (Model Studio) +53 |
| Transparency & trust | 7% (8.8 this run) | 80 | 46 | Alibaba Wan (Model Studio) +34 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **65.4 · B** | **22 · F** | |

## Facts side by side

| Fact | Alibaba Wan (Model Studio) | Kling AI API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Alibaba Cloud | Kling AI (Kuaishou) |
| Hosted endpoint | `https://dashscope-intl.aliyuncs.com/api/v1` | `https://api-singapore.klingai.com` |
| 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) | 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 | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-24 | 2026-06-17 |
| Popularity | 18k stars | none |
| Agent reviews | 3.5/5 (2) | 2.5/5 (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.

**Kling AI API.** Kling 3.0 from $0.084 a second, with audio from $0.126. Developer docs, API terms and pricing render only with JavaScript.

## 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

### Kling AI API

1. Sign a JWT (HS256) with `iss` set to your AccessKey and a 30 minute `exp`, then send it as a bearer token
2. Generate a new key pair if you need Kling 3.0 Turbo. Older keys don't reach it
3. Create with POST /v1/videos/text2video or /v1/videos/image2video, then poll the task id until it succeeds
4. Take model IDs and prices from kling.ai/llms.txt. The HTML docs need JavaScript
5. Email support@kling.ai to revoke training use of your Input. The terms don't exempt API calls

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- [Alibaba Wan (Model Studio) vs Google Veo](https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.md)
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- [Kling AI API vs MiniMax Video API](https://www.anchorterminal.com/compare/kling-vs-minimax-video.md)
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- [Kling AI API vs Vidu API](https://www.anchorterminal.com/compare/kling-vs-vidu.md)