Head to head · Video generate · October 2026 research run

Google Veo vs Luma AI API

Google Veo has a score of 60.8 (C) against Luma AI API's 48.7 (D). Both do video generate. The largest gap is security & auth, 30 points.

Which one, for what

Pick Google Veo for

  • schema & documentation (+28)
  • security & auth (+30)
  • maintenance & community (+20)
  • transparency & trust (+22)

Pick Luma AI API for

  • reliability (+5)

Score by category

CategoryWeight this runGoogle VeoLuma AI APIEdge
Reliability16%204550Luma AI API +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27143Google Veo +28
Agent ergonomics13%16.26466Luma AI API +2
Security & auth14%17.57848Google Veo +30
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87757Google Veo +20
Transparency & trust7%8.88058Google Veo +22
Negative events≤1500
Total60.8 · C48.7 · D

Facts side by side

FactGoogle VeoLuma AI API
KindModel APIModel API
VendorGoogleLuma AI
Hosted endpointhttps://generativelanguage.googleapis.com/v1betahttps://agents.lumalabs.ai/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicenceApache-2.0 (SDKs)Apache-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.txtyesno
MCP registrynot listednot listed
Last release2026-09-222026-08-05
Popularity4k stars2 stars, 982 npm/wk, 212 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.

Luma AI API

Dollar prices per clip, $0.30 for 5 seconds at 720p, no credits to convert. Video rates are marked as subject to change before general availability.

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

Luma AI API

  1. Send model ray-3.2 and type video, with resolution and duration inside video. Older model names are rejected
  2. Poll GET /v1/generations/{id} until completed or failed, then copy the presigned URL
  3. On 429, read detail. Rate limit exceeded means wait Retry-After, Too many concurrent jobs means wait for a job to finish
  4. Use keyframes with keyframe_indexes for 10 second clips. start_frame and end_frame only work at 5 seconds

Other comparisons with Google Veo or Luma AI API

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