Head to head · Video generate · October 2026 research run

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.

Which one, for what

No category where it leads by five points or more.

Category	Weight this run	Kling AI API	Vidu API	Edge
Reliability	16%20	15	35	Vidu API +20
Performance	10%pending	pending	pending	not scored in this run
Schema & documentation	13%16.2	15	48	Vidu API +33
Agent ergonomics	13%16.2	27	55	Vidu API +28
Security & auth	14%17.5	20	28	Vidu API +8
Payments & pricing	10%12.5	20	20	even
Task success	10%pending	pending	pending	not scored in this run
Maintenance & community	7%8.8	24	57	Vidu API +33
Transparency & trust	7%8.8	46	49	Vidu API +3
Negative events	≤15	0	0
Total		22 · F	40.4 · E

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)

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

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

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

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