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Influencer Studio offers two standout premium video generators: Sora 2 (available in Pro mode) and Veo 3.1. Both support text-to-video and image-to-video, and both can produce polished, cinematic results—yet they’re optimized for different priorities.

If your focus is premium, film-like output with built-in dialogue and lip-sync, Sora 2 is positioned as the high-end option. If you need strong cinematic motion with native 1080p and flexible Quality/Fast modes at a much lower credit cost, Veo 3.1 is designed for scale and speed.

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Feature Comparison

FeatureSora 2Veo 3.1
ProviderOpenAIGoogle DeepMind
Subcategoriestext-to-video, image-to-videotext-to-video, image-to-video
First Frame / Last Frame SupportNoYes
Multi-shot SupportNoNo
1080p / 2k ModeYesYes
4k ModeNoYes
NSFW RatingStrictStrict
Duration4, 8, 12Quality, Fast
Aspect Ratio16:9, 9:164s, 6s, 8s
Starting Price400 credits 80 credits
Full Details View Sora 2 View Veo 3.1

Sora 2 Strengths

  • Premium cinematic quality geared toward high-end, film-like visuals
  • Native audio support with dialogue for more complete, ready-to-post scenes
  • Lip-sync capability for character-led content and speaking shots
  • Strong choice for hero assets where maximum polish matters more than cost

Veo 3.1 Strengths

  • Quality and Fast modes to balance fidelity vs turnaround time
  • Native 1080p output for clean delivery on most social and web platforms
  • Native synchronized audio for cohesive sound-and-visual generation
  • Accurate lighting and cinematic motion for realistic, dynamic scenes
  • Much lower per-video cost (80 credits) for higher-volume production

Verdict

Choose Sora 2 when you’re producing a flagship video that benefits from premium cinematic styling, built-in dialogue, and lip-sync—especially for creator-led storytelling, talking moments, or brand films where realism and performance sell the scene.

Choose Veo 3.1 when you need consistently strong cinematic motion with native 1080p and synchronized audio at a fraction of the credit cost. Its Quality/Fast modes make it a practical fit for iterative workflows, testing multiple concepts, and scaling content output.

Frequently Asked Questions

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