← All models

Multi Reference vs Veo

M
Multi Reference

Multi Reference is a generative image capability that uses multiple reference images as input to guide generation. Available via select platforms.

Strengths

  • Precise style and subject reference control
  • Useful for brand-consistent generation

Weaknesses

  • Specialist capability, not a standalone model
  • Limited platform availability
Veo
Veo
Google DeepMind

Google DeepMind's video generation family (Veo 3, Veo 3.1), notable for being among the first models to natively generate video with synchronised audio. Targets cinematic quality with strong scene coherence and realistic motion.

Strengths

  • Native audio generation alongside video
  • Exceptional scene coherence and realism
  • Strong camera control and cinematic composition

Weaknesses

  • Limited API availability; primarily via Google products
  • High cost at production quality tiers
  • Content policy is conservative
See Multi Reference vs Veo in the full pricing comparison
CreditCrunch

Save up to

$13.00/min

on Veo 3.1

Why pay 11x more for identical output?

81+ models · 333+ price data points · updated daily

Unlock with Pro
ModelOpenArtHiggsfield
Veo
Veo 3
Google DeepMind
Veo
Veo 3.1
Google DeepMind