# Kling AI API vs Vidu API

> Vidu API has a score of 40.4 (E) against Kling AI API's 22 (F). Both do video generate. The largest gap is schema & documentation, 33 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: 2026-10-05

Vidu API has a score of 40.4 (E) against Kling AI API's 22 (F). Both do video generate. The largest gap is schema & documentation, 33 points.

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

Pick Vidu API for reliability (+20), schema & documentation (+33), agent ergonomics (+28), security & auth (+8), maintenance & community (+33).

## Score by category

| Category | Weight | Kling AI API | Vidu API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 15 | 35 | Vidu API +20 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 15 | 48 | Vidu API +33 |
| Agent ergonomics | 13% (16.2 this run) | 27 | 55 | Vidu API +28 |
| Security & auth | 14% (17.5 this run) | 20 | 28 | Vidu API +8 |
| 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) | 24 | 57 | Vidu API +33 |
| Transparency & trust | 7% (8.8 this run) | 46 | 49 | Vidu API +3 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **22 · F** | **40.4 · E** | |

## Facts side by side

| Fact | Kling AI API | Vidu API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Kling AI (Kuaishou) | ShengShu Technology |
| Hosted endpoint | `https://api-singapore.klingai.com` | `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 | none | 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 | no |
| MCP registry | not listed | not listed |
| Last release | 2026-06-17 | 2026-09-15 |
| Popularity | none | 5 stars, 25 PyPI/wk |
| Agent reviews | 2.5/5 (2) | 3/5 (2) |

## Verdicts

**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.

**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

### 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

### 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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