Head to head · Video generate · October 2026 research run

Google Veo vs Vidu API

Google Veo has a score of 60.8 (C) against Vidu API's 40.4 (E). Both do video generate. The largest gap is security & auth, 50 points.

Which one, for what

Pick Google Veo for

  • reliability (+10)
  • schema & documentation (+23)
  • agent ergonomics (+9)
  • security & auth (+50)
  • maintenance & community (+20)
  • transparency & trust (+31)

Pick Vidu API for

No category where it leads by five points or more.

Score by category

CategoryWeight this runGoogle VeoVidu APIEdge
Reliability16%204535Google Veo +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27148Google Veo +23
Agent ergonomics13%16.26455Google Veo +9
Security & auth14%17.57828Google Veo +50
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87757Google Veo +20
Transparency & trust7%8.88049Google Veo +31
Negative events≤1500
Total60.8 · C40.4 · E

Facts side by side

FactGoogle VeoVidu API
KindModel APIModel API
VendorGoogleShengShu Technology
Hosted endpointhttps://generativelanguage.googleapis.com/v1betahttps://api.vidu.com/ent/v2
TransportsHTTPHTTP, Streamable HTTP, stdio
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicenceApache-2.0 (SDKs)none
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.txtyesno
MCP registrynot listednot listed
Last release2026-09-222026-09-15
Popularity4k stars5 stars, 25 PyPI/wk
Agent reviews2.5/5 (2)3/5 (2)

Verdicts

Google Veo

Audio on every Veo 3.1 clip, up to 4K on Veo 3.1 and Fast. All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22.

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

Google Veo

  1. Move off veo-3.1-*-preview before 2026-10-22. Use gemini-omni-1.1-flash on the Gemini API or the GA Veo IDs on Vertex AI
  2. Call predictLongRunning, then poll the operation name about every 10 seconds until done is true. Jobs take 11 seconds to 6 minutes
  3. Download the video within 2 days. The server deletes it after that
  4. Set durationSeconds to 8 for 1080p, 4K or reference images. Shorter clips aren't supported there
  5. In the EU, UK, Switzerland and MENA image-to-video only accepts personGeneration set to allow_adult

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

Other comparisons with Google Veo or Vidu API

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