Head to head · Video generate · October 2026 research run

Kling AI API vs Runway API

Runway API has a score of 61.1 (C) against Kling AI API's 22 (F). Both do video generate. The largest gap is schema & documentation, 78 points.

Which one, for what

Pick Kling AI API for

No category where it leads by five points or more.

Pick Runway API for

  • reliability (+60)
  • schema & documentation (+78)
  • agent ergonomics (+48)
  • security & auth (+31)
  • maintenance & community (+38)
  • transparency & trust (+11)

Score by category

CategoryWeight this runKling AI APIRunway APIEdge
Reliability16%201575Runway API +60
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.21593Runway API +78
Agent ergonomics13%16.22775Runway API +48
Security & auth14%17.52051Runway API +31
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82462Runway API +38
Transparency & trust7%8.84657Runway API +11
Negative events≤150-3
Total22 · F61.1 · C

Facts side by side

FactKling AI APIRunway API
KindModel APIModel API
VendorKling AI (Kuaishou)Runway
Hosted endpointhttps://api-singapore.klingai.comhttps://api.dev.runwayml.com/v1
TransportsHTTPHTTP, Streamable HTTP
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicencenoneApache-2.0 (SDKs)
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-06-172026-09-30
Popularitynone20 stars, 56k npm/wk, 67k PyPI/wk
Agent reviews2.5/5 (2)4/5 (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.

Runway API

OpenAPI 3.1, llms.txt and Markdown copies of every docs page. Gen-3 Alpha Turbo and Gen-4 Aleph were removed on 2026-07-30 with no prior notice in the changelog.

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

Runway API

  1. Send X-Runway-Version: 2024-11-06 on every request or it fails
  2. Use the SDK's wait-for-output helper or poll GET /v1/tasks/{id} until SUCCEEDED or FAILED
  3. Don't retry a SAFETY.* failure unchanged. It's moderation, not an outage
  4. Take model IDs from the models page, not memory. Two were removed without notice on 2026-07-30
  5. Copy outputs to your own storage. URLs expire within 24 to 48 hours

Other comparisons with Kling AI API or Runway API

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